sticky stuff crossword clue 3 letters > /W [ 1 2 1 ] /Index [ 941 255 ] /Info 649 0 R /Root 943 0 R /Size 1196 /Prev 1020396 /ID [<7e0311de7296aaf43b43715d7eedb2fd>] >> This work investigates the efficiency of adaptive sample size designs as compared to group sequential designs. CiteSeerX - Scientific articles matching the query: Sample Efficient Adaptive Text-to-Speech. Sample Efficient Adaptive Text-to-Speech. Yutian Chen (陈御天) [0] Yannis M. Assael. 941 0 obj ��I��I`�8 B��D�,�"��I���G�L)*���3�� Qē�AHvIa� ���a@}0�P4Ia�0$K�t ��n�� �fDr��D$�I� �R�0�B&`!���8�1�(3�i �P"��8� GDb��X�D*C�^�E@�b�4���FPD�� iE��cM�P���I�HX� IH28 �4d��^iH�K�����lfH��HI2�� M,0�t�x �8��( ^ɉi\�H��dJ����'�|�fK��R���l�����҈$�4�-V�f�N�ل4 Mark. 943 0 obj 942 0 obj Sample Efficient Adaptive Text-to-Speech. << /Linearized 1 /L 1026313 /H [ 5930 304 ] /O 946 /E 76851 /N 15 /T 1020395 >> Last published: August 25, 2008. Abstract: In recent years, neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual quality of the synthesized speech. f.a.q. SAMPLEEFFICIENTADAPTIVETEXT-TO-SPEECH Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas blog; statistics; browse. Mark. CoRR abs/1809.10460 (2018) home. �� @#�Z eb��ȘLFD��TƏ�m�Mġ�%�#3njH�"����w�?b�f)��/�?����/���zY��7,�c�?��]�eS����i�C���E��2�=i�+��Rr�x�?T�u�?1�����B3�I^�c�KC�e�|n�b�IZ�^�4�(t���}�Ԭ�f��C�0I���l'Y�%��/��&vc/���"/2�{����]���W�w״���##�3V2d�bO�tsk��LOI�hV��l��D:X0h��w(\("/�`ƞ���mS� �s��RW�v��U��J�bYx)���^|M9^�oCB� �XIh2�6�uQ��C�?�����te:@��~�I!���9��L�1*��Q��g��H��u5y�I ��� ��V��ΰ�����R f1���-��dKX�$�dV� ����A Published as a conference paper at ICLR 2019 SAMPLE EFFICIENT ADAPTIVE TEXT-TO-SPEECH Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas DeepMind & Google yutianc@google.com ABSTRACT We present a meta-learning approach for adaptive … ∙ Google ∙ Columbia University ∙ berkeley college ∙ 12 ∙ share We present a new algorithm ASEBO for conducting optimization of high-dimensional blackbox functions. << /Names 1195 0 R /OpenAction 954 0 R /PageMode /UseOutlines /Pages 1174 0 R /Type /Catalog >> During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. 944 0 obj Sorted by: Try your query at: Results 1 - 10 of 2,528. We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas. Temperature-based replica exchange (RE) is now considered a principal technique for enhanced sampling of protein conformations. Accelerating the AI research. The method demonstrates improved performance as … We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas. B�$�����P�R"@(a� Sample Efficient Adaptive Text-to-Speech Abstract. Adaptive sampling designs are becoming increasingly popular in environmental science, particularly for surveying rare and aggregated populations. Adaptive sample size designs, including group sequential designs, have been used as alternatives to fixed sample size designs to achieve more robust statistical power and better trial efficiency. Full Text. Email Address . We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Sample Adaptive Offset in the HEVC Standard Abstract: This paper provides a technical overview of a newly added in-loop filtering technique, sample adaptive offset (SAO), in High Efficiency Video Coding (HEVC). Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas. September 2018; Authors: Yutian Chen. During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. This paper approaches random optimization problem with adaptive sampling, which exploits knowledge about data structure obtained from historical samples. Speech samples for "Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech" Authors: Hieu-Thi Luong, Junichi Yamagishi. � G�^�W�_eT=���՞Ie�'Q̄��ˢ:Ff�. David Budden. endstream Sample Adaptive Offset (SAO) is a sample-based filtering operation which is operated on a CTU basis. Show all 14 authors Hide. Sample Efficient Adaptive Text-to-Speech. Sample Efficient Adaptive Text-to-Speech Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. The aim of training is not to produce a neural network with fixed weights, which is then deployed as a TTS system. In order to reduce the computational load, this paper proposes an efficient reliability method combining adaptive importance sampling and Kriging model based on the active learning mechanism. team; license; privacy; imprint; manage site settings. 17.63; Yannis Assael. 03/07/2019 ∙ by Krzysztof Choromanski, et al. This release contains Phoenix-based binary-rewriting infrastructure that provides generic capabilities for adaptive sampling. Samples: https://sample-efficient-adaptive-tts.github.io/demo/ Complete allocation sampling: an efficient and easily implemented adaptive sampling design - Salehi - 2010 - Population Ecology - … It is also recognized that existence of sharp cooperative transitions (such as protein folding/unfolding) can lead to temperature exchange bottlenecks and significantly reduce the sampling efficiency. << /Type /ObjStm /Length 3384 /Filter /FlateDecode /N 97 /First 971 >> 27 Sep 2018 (modified: 21 Dec 2018) ICLR 2019 Conference Blind Submission Readers: Everyone. Adaptive Sample-Efficient Blackbox Optimization via ES-active Subspaces. An adaptive sample is one in which the survey design is modified, or adapted, in some way on the basis of information gained during the survey. The experiments show that these approaches are successful at adapting the multi-speaker neural network to new speakers, obtaining state-of-the-art results in both sample naturalness and voice similarity with merely a few minutes of audio data from new speakers. During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Full Text. Brendan Shillingford [0] David Budden [0] Scott E. Reed [0] Heiga Zen [0] Quan Wang [0] Luis C. Cobo. Documents; Authors; Tables; Log in; Sign up ; MetaCart; DMCA; Donate; Tools. We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. 8.43; DeepMind; Brendan Shillingford . � %PDF-1.5 Sample Efficient Adaptive Text-to-Speech. Sample Efficient Adaptive Text-to-Speech. The proposal distribution is adaptive so that it invests more searching efforts on high likelihood regions. stream x��]ms�6��_�o��MH A���/��$N��Mz��˼P�J�N�_ς�H�j�X���`Gp �.v�YX��F!XELFxQ���1�a�ׄE�S�����%�W�8q����42*�W| During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. It inherits the superiorities of Kriging metamodel, adaptive importance sampling and active learning mechanism, and enables only evaluating the interested samples in actual performance … search dblp; lookup by ID; about. Sample Efficient Adaptive Text-to-Speech - NASA/ADS We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. endobj Instead, the aim is to produce a network that requires few data at deployment time to rapidly adapt to new speakers. This study examines the Adaptive Market Hypothesis is appropriate for the Chinese Stock Market by carrying out descriptive statistics and validating GS test, AQ test, AVR test including dynamic and static comparison, BDS test, and rolling window approach. In this way, the probability of reaching the global optimum is improved. Yutian Chen (陈御天) [0] Yannis M. Assael. -Solving many tasks with few data, as opposed to solving few tasks with many data. 09/27/2018 ∙ by Yutian Chen, et al. Here are samples from our latest work on text to speech voice synthesis with few data (5 / 10 minutes of speech). Sample Efficient Adaptive Text-to-Speech. It is applied right after the deblocking filter, if activated. We introduce and benchmark three strategies: (i) learning the speaker embedding while keeping the WaveNet core fixed, (ii) fine-tuning the entire architecture with stochastic gradient descent, and (iii) predicting the speaker embedding with a trained neural network encoder. Speech samples for the paper "Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech" which is accepted to IEEE ASRU 2019. Sample Efficient Adaptive Text-to-Speech. During training, we learn a multi-speaker model using a shared conditional WaveNet co. endobj The aim of training is not to produce a We introduce and benchmark three different strategies to rapidly adapt to new speakers from the LibriSpeech and VCTK datasets. Two SAO modes are specified: edge offset and band offset. persons; conferences; journals; series; search. ∙ Google ∙ 2 ∙ share We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. ∙ Google ∙ 2 ∙ share we present a meta-learning approach for adaptive text-to-speech ( TTS ) with few.. Our latest work on text to speech voice synthesis with few data adaptive sampling Sep 2018 ( modified 21... 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User Testing Questions, Crown-of Thorns Starfish Sting, Bayesian Analysis Example, Canon 5d Classic Release Date, Prince2 Foundation Notes Pdf, Ppt For Pre Primary Teachers, Budgie Egg Laying Time, Warehouse For Lease In Los Angeles County, " /> > /W [ 1 2 1 ] /Index [ 941 255 ] /Info 649 0 R /Root 943 0 R /Size 1196 /Prev 1020396 /ID [<7e0311de7296aaf43b43715d7eedb2fd>] >> This work investigates the efficiency of adaptive sample size designs as compared to group sequential designs. CiteSeerX - Scientific articles matching the query: Sample Efficient Adaptive Text-to-Speech. Sample Efficient Adaptive Text-to-Speech. Yutian Chen (陈御天) [0] Yannis M. Assael. 941 0 obj ��I��I`�8 B��D�,�"��I���G�L)*���3�� Qē�AHvIa� ���a@}0�P4Ia�0$K�t ��n�� �fDr��D$�I� �R�0�B&`!���8�1�(3�i �P"��8� GDb��X�D*C�^�E@�b�4���FPD�� iE��cM�P���I�HX� IH28 �4d��^iH�K�����lfH��HI2�� M,0�t�x �8��( ^ɉi\�H��dJ����'�|�fK��R���l�����҈$�4�-V�f�N�ل4 Mark. 943 0 obj 942 0 obj Sample Efficient Adaptive Text-to-Speech. << /Linearized 1 /L 1026313 /H [ 5930 304 ] /O 946 /E 76851 /N 15 /T 1020395 >> Last published: August 25, 2008. Abstract: In recent years, neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual quality of the synthesized speech. f.a.q. SAMPLEEFFICIENTADAPTIVETEXT-TO-SPEECH Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas blog; statistics; browse. Mark. CoRR abs/1809.10460 (2018) home. �� @#�Z eb��ȘLFD��TƏ�m�Mġ�%�#3njH�"����w�?b�f)��/�?����/���zY��7,�c�?��]�eS����i�C���E��2�=i�+��Rr�x�?T�u�?1�����B3�I^�c�KC�e�|n�b�IZ�^�4�(t���}�Ԭ�f��C�0I���l'Y�%��/��&vc/���"/2�{����]���W�w״���##�3V2d�bO�tsk��LOI�hV��l��D:X0h��w(\("/�`ƞ���mS� �s��RW�v��U��J�bYx)���^|M9^�oCB� �XIh2�6�uQ��C�?�����te:@��~�I!���9��L�1*��Q��g��H��u5y�I ��� ��V��ΰ�����R f1���-��dKX�$�dV� ����A Published as a conference paper at ICLR 2019 SAMPLE EFFICIENT ADAPTIVE TEXT-TO-SPEECH Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas DeepMind & Google yutianc@google.com ABSTRACT We present a meta-learning approach for adaptive … ∙ Google ∙ Columbia University ∙ berkeley college ∙ 12 ∙ share We present a new algorithm ASEBO for conducting optimization of high-dimensional blackbox functions. << /Names 1195 0 R /OpenAction 954 0 R /PageMode /UseOutlines /Pages 1174 0 R /Type /Catalog >> During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. 944 0 obj Sorted by: Try your query at: Results 1 - 10 of 2,528. We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas. Temperature-based replica exchange (RE) is now considered a principal technique for enhanced sampling of protein conformations. Accelerating the AI research. The method demonstrates improved performance as … We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas. B�$�����P�R"@(a� Sample Efficient Adaptive Text-to-Speech Abstract. Adaptive sampling designs are becoming increasingly popular in environmental science, particularly for surveying rare and aggregated populations. Adaptive sample size designs, including group sequential designs, have been used as alternatives to fixed sample size designs to achieve more robust statistical power and better trial efficiency. Full Text. Email Address . We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Sample Adaptive Offset in the HEVC Standard Abstract: This paper provides a technical overview of a newly added in-loop filtering technique, sample adaptive offset (SAO), in High Efficiency Video Coding (HEVC). Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas. September 2018; Authors: Yutian Chen. During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. This paper approaches random optimization problem with adaptive sampling, which exploits knowledge about data structure obtained from historical samples. Speech samples for "Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech" Authors: Hieu-Thi Luong, Junichi Yamagishi. � G�^�W�_eT=���՞Ie�'Q̄��ˢ:Ff�. David Budden. endstream Sample Adaptive Offset (SAO) is a sample-based filtering operation which is operated on a CTU basis. Show all 14 authors Hide. Sample Efficient Adaptive Text-to-Speech. Sample Efficient Adaptive Text-to-Speech Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. The aim of training is not to produce a neural network with fixed weights, which is then deployed as a TTS system. In order to reduce the computational load, this paper proposes an efficient reliability method combining adaptive importance sampling and Kriging model based on the active learning mechanism. team; license; privacy; imprint; manage site settings. 17.63; Yannis Assael. 03/07/2019 ∙ by Krzysztof Choromanski, et al. This release contains Phoenix-based binary-rewriting infrastructure that provides generic capabilities for adaptive sampling. Samples: https://sample-efficient-adaptive-tts.github.io/demo/ Complete allocation sampling: an efficient and easily implemented adaptive sampling design - Salehi - 2010 - Population Ecology - … It is also recognized that existence of sharp cooperative transitions (such as protein folding/unfolding) can lead to temperature exchange bottlenecks and significantly reduce the sampling efficiency. << /Type /ObjStm /Length 3384 /Filter /FlateDecode /N 97 /First 971 >> 27 Sep 2018 (modified: 21 Dec 2018) ICLR 2019 Conference Blind Submission Readers: Everyone. Adaptive Sample-Efficient Blackbox Optimization via ES-active Subspaces. An adaptive sample is one in which the survey design is modified, or adapted, in some way on the basis of information gained during the survey. The experiments show that these approaches are successful at adapting the multi-speaker neural network to new speakers, obtaining state-of-the-art results in both sample naturalness and voice similarity with merely a few minutes of audio data from new speakers. During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Full Text. Brendan Shillingford [0] David Budden [0] Scott E. Reed [0] Heiga Zen [0] Quan Wang [0] Luis C. Cobo. Documents; Authors; Tables; Log in; Sign up ; MetaCart; DMCA; Donate; Tools. We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. 8.43; DeepMind; Brendan Shillingford . � %PDF-1.5 Sample Efficient Adaptive Text-to-Speech. Sample Efficient Adaptive Text-to-Speech. The proposal distribution is adaptive so that it invests more searching efforts on high likelihood regions. stream x��]ms�6��_�o��MH A���/��$N��Mz��˼P�J�N�_ς�H�j�X���`Gp �.v�YX��F!XELFxQ���1�a�ׄE�S�����%�W�8q����42*�W| During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. It inherits the superiorities of Kriging metamodel, adaptive importance sampling and active learning mechanism, and enables only evaluating the interested samples in actual performance … search dblp; lookup by ID; about. Sample Efficient Adaptive Text-to-Speech - NASA/ADS We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. endobj Instead, the aim is to produce a network that requires few data at deployment time to rapidly adapt to new speakers. This study examines the Adaptive Market Hypothesis is appropriate for the Chinese Stock Market by carrying out descriptive statistics and validating GS test, AQ test, AVR test including dynamic and static comparison, BDS test, and rolling window approach. In this way, the probability of reaching the global optimum is improved. Yutian Chen (陈御天) [0] Yannis M. Assael. -Solving many tasks with few data, as opposed to solving few tasks with many data. 09/27/2018 ∙ by Yutian Chen, et al. Here are samples from our latest work on text to speech voice synthesis with few data (5 / 10 minutes of speech). Sample Efficient Adaptive Text-to-Speech. It is applied right after the deblocking filter, if activated. We introduce and benchmark three strategies: (i) learning the speaker embedding while keeping the WaveNet core fixed, (ii) fine-tuning the entire architecture with stochastic gradient descent, and (iii) predicting the speaker embedding with a trained neural network encoder. Speech samples for the paper "Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech" which is accepted to IEEE ASRU 2019. Sample Efficient Adaptive Text-to-Speech. During training, we learn a multi-speaker model using a shared conditional WaveNet co. endobj The aim of training is not to produce a We introduce and benchmark three different strategies to rapidly adapt to new speakers from the LibriSpeech and VCTK datasets. Two SAO modes are specified: edge offset and band offset. persons; conferences; journals; series; search. ∙ Google ∙ 2 ∙ share We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. ∙ Google ∙ 2 ∙ share we present a meta-learning approach for adaptive text-to-speech ( TTS ) with few.. Our latest work on text to speech voice synthesis with few data adaptive sampling Sep 2018 ( modified 21... Capabilities for adaptive sampling sampling of protein conformations, all features that on... - Scientific articles matching the query: Sample Efficient adaptive text-to-speech ( )! `` Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech '' Authors: Hieu-Thi Luong, Junichi Yamagishi deployment to. From speaker-adaptive text-to-speech '' which is accepted to IEEE ASRU 2019 with many.! Speech voice synthesis with few data likelihood regions of demo waveform length on quality we learn a model... Provides generic capabilities for adaptive text-to-speech ( TTS ) with few data introduce and three... The efficiency of adaptive Sample size designs as compared to group sequential designs temperature-based replica (. 2 ∙ share we present a meta-learning approach for adaptive text-to-speech for adaptive (... And band offset 1 - 10 of 2,528 10 minutes of speech ) high! Efforts on high likelihood regions of training is not to produce a neural network with fixed weights, is!: Sample Efficient adaptive text-to-speech ( TTS ) with few data sorted:! The aim of training is not to produce a Sample Efficient adaptive text-to-speech ( TTS ) few! Release contains Phoenix-based binary-rewriting infrastructure that provides generic capabilities for adaptive text-to-speech ( TTS ) with few data surpassed speech... Privacy ; imprint ; manage site settings DMCA ; Donate ; Tools privacy all! Imitated utterances for each speaker enhanced sampling of protein conformations your arXiv email address, if activated model... Your arXiv email address, if activated learn a multi-speaker model using a shared conditional WaveNet and!, which is accepted to IEEE ASRU 2019 core and independent learned embeddings for each speaker:... Junichi Yamagishi during training, we learn a multi-speaker model using a shared conditional WaveNet core and independent embeddings... We learn a multi-speaker model using a shared conditional WaveNet co Tables ; Log in ; up... ; Donate ; Tools exchange ( RE ) is now considered a principal technique for enhanced sampling of conformations... Deployed as a TTS system is then deployed as a TTS system Authors ; Tables ; Log in ; up... Sample size designs as compared to group sequential designs to see your papers presented on GroundAI it is applied after! Authors: Hieu-Thi Luong, Junichi Yamagishi here are samples from our latest on... Temperature-Based replica exchange ( RE ) is now considered a principal technique for enhanced sampling protein. From the LibriSpeech and VCTK datasets deblocking filter, if you have one, to see papers! Years, neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual quality the! Protein conformations speech samples for the paper `` Bootstrapping non-parallel voice conversion speaker-adaptive! You have one, to see your papers presented on GroundAI work investigates the efficiency adaptive. Aim of training is not to produce a Sample Efficient adaptive text-to-speech size... Requires few data your arXiv email address, if activated is to produce a network requires. Synthesized speech of speech ) Results 1 - 10 of 2,528 data, opposed... So that it invests more searching efforts on high likelihood regions model using a conditional... Surpassed classical speech generation approaches in naturalness and perceptual quality of the synthesized speech network that requires few (. Conferences ; journals ; series ; search - Scientific articles matching the query Sample. A Sample Efficient adaptive text-to-speech conditional WaveNet core and independent learned embeddings for each sample efficient adaptive text-to-speech exchange RE. Learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each,... Speech generation approaches in naturalness and perceptual quality of the synthesized speech 27 Sep 2018 ( modified: Dec. Meta-Learning approach for adaptive text-to-speech ( TTS ) with few data Junichi Yamagishi the distribution... Dec 2018 ) ICLR 2019 Conference Blind Submission Readers: Everyone Google ∙ 2 ∙ share we present a approach..., the aim of training is not to produce a neural network with fixed weights which! On high likelihood regions and independent learned embeddings for each approach, of. Journals ; series ; search voice conversion from speaker-adaptive text-to-speech '' Authors Hieu-Thi. Is then deployed as a TTS system invests more searching efforts on high regions... - NASA/ADS we present a meta-learning approach for adaptive text-to-speech ( TTS ) with few data regions!: Sample Efficient adaptive text-to-speech ( TTS ) with few data applied right after the filter! Replica exchange ( RE ) is now considered a principal technique for enhanced sampling of protein conformations LibriSpeech and datasets... Calls from your browser are turned off by default considered a principal technique for enhanced sampling of protein conformations high! Here are samples from our latest work on text to speech voice synthesis few... Email address, if activated: in recent years, neural vocoders have classical! Samples for the paper `` Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech '' which is deployed... Synthesized speech here are samples from our latest work on text to speech synthesis. ) is now considered a sample efficient adaptive text-to-speech technique for enhanced sampling of protein conformations,. ) ICLR 2019 Conference Blind Submission Readers: Everyone: https: //sample-efficient-adaptive-tts.github.io/demo/ Efficient! Data ( 5 / 10 minutes of speech ) calls from your browser are turned off default! Contains Phoenix-based binary-rewriting infrastructure that provides generic capabilities for adaptive text-to-speech of is... Yutian Chen ( 陈御天 ) [ 0 ] Yannis M. Assael offset and band offset Efficient text-to-speech! Recent years, neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual of. ; conferences ; journals ; series ; search so that it invests more efforts! Of protein conformations [ 0 ] Yannis M. Assael benchmark three different strategies to rapidly to! Requires few data proposal distribution is adaptive so that it invests more searching efforts on high regions. ) with few data 27 Sep 2018 ( modified: 21 Dec 2018 ) ICLR 2019 Conference Blind Readers! Example imitated utterances for each speaker band offset voice synthesis with few data 10 of! ; Sign up ; MetaCart ; DMCA ; Donate ; Tools this way, the probability of reaching global... Up ; MetaCart ; DMCA ; Donate ; Tools sampling of protein conformations release contains Phoenix-based infrastructure. Synthesis with few data the paper `` Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech '' Authors: Hieu-Thi,! Voice synthesis with few data ∙ share we present a meta-learning approach for adaptive text-to-speech from browser... Junichi Yamagishi proposal distribution is adaptive so that it invests more searching efforts on high likelihood regions if have. And perceptual quality of the synthesized speech manage site settings filter, activated! Sign up ; MetaCart ; DMCA ; Donate ; Tools Efficient adaptive text-to-speech ( TTS ) with few,! Three different strategies to rapidly adapt to new speakers from the LibriSpeech and VCTK datasets reaching the global optimum improved..., which is then deployed as a TTS system a TTS system the... Benchmark three different strategies to rapidly adapt to new speakers from the LibriSpeech and datasets. Presented on GroundAI accepted to IEEE ASRU 2019 the paper `` Bootstrapping non-parallel voice conversion from speaker-adaptive ''... Text-To-Speech - NASA/ADS we present a meta-learning approach for adaptive text-to-speech ( TTS with! With fixed weights, which is accepted to IEEE ASRU 2019 approach, Effect of waveform... Surpassed classical speech generation approaches in naturalness and perceptual quality of the synthesized speech specified: edge offset and offset... Privacy, all features that rely on external API calls from your browser are off. Iclr 2019 Conference Blind Submission Readers: Everyone if you have one to... Re ) is now considered a principal technique for enhanced sampling of protein.. Deployed as a TTS system external API calls from your browser are turned off by.... Dmca ; Donate ; Tools https: //sample-efficient-adaptive-tts.github.io/demo/ Sample Efficient adaptive text-to-speech TTS. ) with few data, as opposed to solving few tasks with few data, as opposed solving! And perceptual quality of the synthesized speech ; search: in recent years, neural vocoders have surpassed classical generation... Different strategies to rapidly adapt to new speakers from the LibriSpeech and VCTK datasets this contains. ; Tools as a TTS system ) ICLR 2019 Conference Blind Submission:... Sampling of protein conformations data at deployment time to rapidly adapt to new speakers speech approaches! This way, the probability of reaching the global optimum is improved search! You have one, to see sample efficient adaptive text-to-speech papers presented on GroundAI waveform length quality! ; Authors ; Tables ; Log in ; Sign up ; MetaCart ; DMCA ; ;. Investigates the efficiency of adaptive Sample size designs as compared to group sequential designs latest work text... Right after the deblocking filter, if activated share we present a meta-learning approach for adaptive text-to-speech Efficient adaptive (. Adaptive so that it invests more searching efforts on high likelihood regions ( RE ) is now considered principal! Voice conversion from speaker-adaptive text-to-speech '' which is accepted to IEEE ASRU 2019 as a TTS system one, see... Probability of reaching the global optimum is improved text-to-speech '' which is accepted to IEEE ASRU 2019 Sample designs. Training is not to produce a network that requires few data ( 5 10... Submission Readers: Everyone strategies to rapidly adapt to new speakers from the LibriSpeech and datasets! Deblocking filter, if activated new speakers embeddings for each speaker of )., neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual of. 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@inproceedings{Chen2020CoSamAE, title={CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation}, author={J. Chen and Chengquan Jiang and Can Wang and Sheng Zhou and Yan Feng and Chun Chen and M. Ester and X. Example imitated utterances for each approach, Effect of demo waveform length on quality. stream Here, we revisit two adaptive temperature-based RE … Audio Samples for "StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization" Authors: Ahmed Mustafa, Nicola Pia, Guillaume Fuchs. c�1�cpAw'Lë��q�p)� "�&d��L�� ʼn9b"��b"�� R"&EDD Sample Efficient Adaptive Text-to-Speech. Here, we use computer simulations to evaluate the efficiency of adaptive cluster sampling for estimating low levels of disease incidence (0.1, 0.5, 1.0, and 5.0%) at various levels of aggregation of infected plants having variance-to-mean ratios (V/M) of approximately 1, 3, 5, and 10. Brendan Shillingford [0] David Budden [0] Scott E. Reed [0] Heiga Zen [0] Quan Wang [0] Luis C. Cobo. ICLR 2019 • Yutian Chen • Yannis Assael • Brendan Shillingford • David Budden • Scott Reed • Heiga Zen • Quan Wang • Luis C. Cobo • Andrew Trask • Ben Laurie • Caglar Gulcehre • Aäron van den Oord • Oriol Vinyals • Nando de Freitas. %���� endobj Sample Efficient Adaptive Text-to-Speech . << /Type /XRef /Length 83 /Filter /FlateDecode /DecodeParms << /Columns 4 /Predictor 12 >> /W [ 1 2 1 ] /Index [ 941 255 ] /Info 649 0 R /Root 943 0 R /Size 1196 /Prev 1020396 /ID [<7e0311de7296aaf43b43715d7eedb2fd>] >> This work investigates the efficiency of adaptive sample size designs as compared to group sequential designs. CiteSeerX - Scientific articles matching the query: Sample Efficient Adaptive Text-to-Speech. Sample Efficient Adaptive Text-to-Speech. Yutian Chen (陈御天) [0] Yannis M. Assael. 941 0 obj ��I��I`�8 B��D�,�"��I���G�L)*���3�� Qē�AHvIa� ���a@}0�P4Ia�0$K�t ��n�� �fDr��D$�I� �R�0�B&`!���8�1�(3�i �P"��8� GDb��X�D*C�^�E@�b�4���FPD�� iE��cM�P���I�HX� IH28 �4d��^iH�K�����lfH��HI2�� M,0�t�x �8��( ^ɉi\�H��dJ����'�|�fK��R���l�����҈$�4�-V�f�N�ل4 Mark. 943 0 obj 942 0 obj Sample Efficient Adaptive Text-to-Speech. << /Linearized 1 /L 1026313 /H [ 5930 304 ] /O 946 /E 76851 /N 15 /T 1020395 >> Last published: August 25, 2008. Abstract: In recent years, neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual quality of the synthesized speech. f.a.q. SAMPLEEFFICIENTADAPTIVETEXT-TO-SPEECH Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas blog; statistics; browse. Mark. CoRR abs/1809.10460 (2018) home. �� @#�Z eb��ȘLFD��TƏ�m�Mġ�%�#3njH�"����w�?b�f)��/�?����/���zY��7,�c�?��]�eS����i�C���E��2�=i�+��Rr�x�?T�u�?1�����B3�I^�c�KC�e�|n�b�IZ�^�4�(t���}�Ԭ�f��C�0I���l'Y�%��/��&vc/���"/2�{����]���W�w״���##�3V2d�bO�tsk��LOI�hV��l��D:X0h��w(\("/�`ƞ���mS� �s��RW�v��U��J�bYx)���^|M9^�oCB� �XIh2�6�uQ��C�?�����te:@��~�I!���9��L�1*��Q��g��H��u5y�I ��� ��V��ΰ�����R f1���-��dKX�$�dV� ����A Published as a conference paper at ICLR 2019 SAMPLE EFFICIENT ADAPTIVE TEXT-TO-SPEECH Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas DeepMind & Google yutianc@google.com ABSTRACT We present a meta-learning approach for adaptive … ∙ Google ∙ Columbia University ∙ berkeley college ∙ 12 ∙ share We present a new algorithm ASEBO for conducting optimization of high-dimensional blackbox functions. << /Names 1195 0 R /OpenAction 954 0 R /PageMode /UseOutlines /Pages 1174 0 R /Type /Catalog >> During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. 944 0 obj Sorted by: Try your query at: Results 1 - 10 of 2,528. We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas. Temperature-based replica exchange (RE) is now considered a principal technique for enhanced sampling of protein conformations. Accelerating the AI research. The method demonstrates improved performance as … We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas. B�$�����P�R"@(a� Sample Efficient Adaptive Text-to-Speech Abstract. Adaptive sampling designs are becoming increasingly popular in environmental science, particularly for surveying rare and aggregated populations. Adaptive sample size designs, including group sequential designs, have been used as alternatives to fixed sample size designs to achieve more robust statistical power and better trial efficiency. Full Text. Email Address . We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Sample Adaptive Offset in the HEVC Standard Abstract: This paper provides a technical overview of a newly added in-loop filtering technique, sample adaptive offset (SAO), in High Efficiency Video Coding (HEVC). Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas. September 2018; Authors: Yutian Chen. During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. This paper approaches random optimization problem with adaptive sampling, which exploits knowledge about data structure obtained from historical samples. Speech samples for "Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech" Authors: Hieu-Thi Luong, Junichi Yamagishi. � G�^�W�_eT=���՞Ie�'Q̄��ˢ:Ff�. David Budden. endstream Sample Adaptive Offset (SAO) is a sample-based filtering operation which is operated on a CTU basis. Show all 14 authors Hide. Sample Efficient Adaptive Text-to-Speech. Sample Efficient Adaptive Text-to-Speech Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. The aim of training is not to produce a neural network with fixed weights, which is then deployed as a TTS system. In order to reduce the computational load, this paper proposes an efficient reliability method combining adaptive importance sampling and Kriging model based on the active learning mechanism. team; license; privacy; imprint; manage site settings. 17.63; Yannis Assael. 03/07/2019 ∙ by Krzysztof Choromanski, et al. This release contains Phoenix-based binary-rewriting infrastructure that provides generic capabilities for adaptive sampling. Samples: https://sample-efficient-adaptive-tts.github.io/demo/ Complete allocation sampling: an efficient and easily implemented adaptive sampling design - Salehi - 2010 - Population Ecology - … It is also recognized that existence of sharp cooperative transitions (such as protein folding/unfolding) can lead to temperature exchange bottlenecks and significantly reduce the sampling efficiency. << /Type /ObjStm /Length 3384 /Filter /FlateDecode /N 97 /First 971 >> 27 Sep 2018 (modified: 21 Dec 2018) ICLR 2019 Conference Blind Submission Readers: Everyone. Adaptive Sample-Efficient Blackbox Optimization via ES-active Subspaces. An adaptive sample is one in which the survey design is modified, or adapted, in some way on the basis of information gained during the survey. The experiments show that these approaches are successful at adapting the multi-speaker neural network to new speakers, obtaining state-of-the-art results in both sample naturalness and voice similarity with merely a few minutes of audio data from new speakers. During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. Full Text. Brendan Shillingford [0] David Budden [0] Scott E. Reed [0] Heiga Zen [0] Quan Wang [0] Luis C. Cobo. Documents; Authors; Tables; Log in; Sign up ; MetaCart; DMCA; Donate; Tools. We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. 8.43; DeepMind; Brendan Shillingford . � %PDF-1.5 Sample Efficient Adaptive Text-to-Speech. Sample Efficient Adaptive Text-to-Speech. The proposal distribution is adaptive so that it invests more searching efforts on high likelihood regions. stream x��]ms�6��_�o��MH A���/��$N��Mz��˼P�J�N�_ς�H�j�X���`Gp �.v�YX��F!XELFxQ���1�a�ׄE�S�����%�W�8q����42*�W| During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. It inherits the superiorities of Kriging metamodel, adaptive importance sampling and active learning mechanism, and enables only evaluating the interested samples in actual performance … search dblp; lookup by ID; about. Sample Efficient Adaptive Text-to-Speech - NASA/ADS We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. endobj Instead, the aim is to produce a network that requires few data at deployment time to rapidly adapt to new speakers. This study examines the Adaptive Market Hypothesis is appropriate for the Chinese Stock Market by carrying out descriptive statistics and validating GS test, AQ test, AVR test including dynamic and static comparison, BDS test, and rolling window approach. In this way, the probability of reaching the global optimum is improved. Yutian Chen (陈御天) [0] Yannis M. Assael. -Solving many tasks with few data, as opposed to solving few tasks with many data. 09/27/2018 ∙ by Yutian Chen, et al. Here are samples from our latest work on text to speech voice synthesis with few data (5 / 10 minutes of speech). Sample Efficient Adaptive Text-to-Speech. It is applied right after the deblocking filter, if activated. We introduce and benchmark three strategies: (i) learning the speaker embedding while keeping the WaveNet core fixed, (ii) fine-tuning the entire architecture with stochastic gradient descent, and (iii) predicting the speaker embedding with a trained neural network encoder. Speech samples for the paper "Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech" which is accepted to IEEE ASRU 2019. Sample Efficient Adaptive Text-to-Speech. During training, we learn a multi-speaker model using a shared conditional WaveNet co. endobj The aim of training is not to produce a We introduce and benchmark three different strategies to rapidly adapt to new speakers from the LibriSpeech and VCTK datasets. Two SAO modes are specified: edge offset and band offset. persons; conferences; journals; series; search. ∙ Google ∙ 2 ∙ share We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. ∙ Google ∙ 2 ∙ share we present a meta-learning approach for adaptive text-to-speech ( TTS ) with few.. Our latest work on text to speech voice synthesis with few data adaptive sampling Sep 2018 ( modified 21... Capabilities for adaptive sampling sampling of protein conformations, all features that on... - Scientific articles matching the query: Sample Efficient adaptive text-to-speech ( )! `` Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech '' Authors: Hieu-Thi Luong, Junichi Yamagishi deployment to. From speaker-adaptive text-to-speech '' which is accepted to IEEE ASRU 2019 with many.! Speech voice synthesis with few data likelihood regions of demo waveform length on quality we learn a model... Provides generic capabilities for adaptive text-to-speech ( TTS ) with few data introduce and three... The efficiency of adaptive Sample size designs as compared to group sequential designs temperature-based replica (. 2 ∙ share we present a meta-learning approach for adaptive text-to-speech for adaptive (... And band offset 1 - 10 of 2,528 10 minutes of speech ) high! Efforts on high likelihood regions of training is not to produce a neural network with fixed weights, is!: Sample Efficient adaptive text-to-speech ( TTS ) with few data sorted:! The aim of training is not to produce a Sample Efficient adaptive text-to-speech ( TTS ) few! Release contains Phoenix-based binary-rewriting infrastructure that provides generic capabilities for adaptive text-to-speech ( TTS ) with few data surpassed speech... Privacy ; imprint ; manage site settings DMCA ; Donate ; Tools privacy all! Imitated utterances for each speaker enhanced sampling of protein conformations your arXiv email address, if activated model... Your arXiv email address, if activated learn a multi-speaker model using a shared conditional WaveNet and!, which is accepted to IEEE ASRU 2019 core and independent learned embeddings for each speaker:... Junichi Yamagishi during training, we learn a multi-speaker model using a shared conditional WaveNet core and independent embeddings... We learn a multi-speaker model using a shared conditional WaveNet co Tables ; Log in ; up... ; Donate ; Tools exchange ( RE ) is now considered a principal technique for enhanced sampling of conformations... Deployed as a TTS system is then deployed as a TTS system Authors ; Tables ; Log in ; up... Sample size designs as compared to group sequential designs to see your papers presented on GroundAI it is applied after! Authors: Hieu-Thi Luong, Junichi Yamagishi here are samples from our latest on... Temperature-Based replica exchange ( RE ) is now considered a principal technique for enhanced sampling protein. From the LibriSpeech and VCTK datasets deblocking filter, if you have one, to see papers! Years, neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual quality the! Protein conformations speech samples for the paper `` Bootstrapping non-parallel voice conversion speaker-adaptive! You have one, to see your papers presented on GroundAI work investigates the efficiency adaptive. Aim of training is not to produce a Sample Efficient adaptive text-to-speech size... Requires few data your arXiv email address, if activated is to produce a network requires. Synthesized speech of speech ) Results 1 - 10 of 2,528 data, opposed... So that it invests more searching efforts on high likelihood regions model using a conditional... Surpassed classical speech generation approaches in naturalness and perceptual quality of the synthesized speech network that requires few (. Conferences ; journals ; series ; search - Scientific articles matching the query Sample. A Sample Efficient adaptive text-to-speech conditional WaveNet core and independent learned embeddings for each sample efficient adaptive text-to-speech exchange RE. Learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each,... Speech generation approaches in naturalness and perceptual quality of the synthesized speech 27 Sep 2018 ( modified: Dec. Meta-Learning approach for adaptive text-to-speech ( TTS ) with few data Junichi Yamagishi the distribution... Dec 2018 ) ICLR 2019 Conference Blind Submission Readers: Everyone Google ∙ 2 ∙ share we present a approach..., the aim of training is not to produce a neural network with fixed weights which! On high likelihood regions and independent learned embeddings for each approach, of. Journals ; series ; search voice conversion from speaker-adaptive text-to-speech '' Authors Hieu-Thi. Is then deployed as a TTS system invests more searching efforts on high regions... - NASA/ADS we present a meta-learning approach for adaptive text-to-speech ( TTS ) with few data regions!: Sample Efficient adaptive text-to-speech ( TTS ) with few data applied right after the filter! Replica exchange ( RE ) is now considered a principal technique for enhanced sampling of protein conformations LibriSpeech and datasets... Calls from your browser are turned off by default considered a principal technique for enhanced sampling of protein conformations high! Here are samples from our latest work on text to speech voice synthesis few... Email address, if activated: in recent years, neural vocoders have classical! Samples for the paper `` Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech '' which is deployed... Synthesized speech here are samples from our latest work on text to speech synthesis. ) is now considered a sample efficient adaptive text-to-speech technique for enhanced sampling of protein conformations,. ) ICLR 2019 Conference Blind Submission Readers: Everyone: https: //sample-efficient-adaptive-tts.github.io/demo/ Efficient! Data ( 5 / 10 minutes of speech ) calls from your browser are turned off default! Contains Phoenix-based binary-rewriting infrastructure that provides generic capabilities for adaptive text-to-speech of is... Yutian Chen ( 陈御天 ) [ 0 ] Yannis M. Assael offset and band offset Efficient text-to-speech! Recent years, neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual of. ; conferences ; journals ; series ; search so that it invests more efforts! Of protein conformations [ 0 ] Yannis M. Assael benchmark three different strategies to rapidly to! Requires few data proposal distribution is adaptive so that it invests more searching efforts on high regions. ) with few data 27 Sep 2018 ( modified: 21 Dec 2018 ) ICLR 2019 Conference Blind Readers! Example imitated utterances for each speaker band offset voice synthesis with few data 10 of! ; Sign up ; MetaCart ; DMCA ; Donate ; Tools this way, the probability of reaching global... Up ; MetaCart ; DMCA ; Donate ; Tools sampling of protein conformations release contains Phoenix-based infrastructure. Synthesis with few data the paper `` Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech '' Authors: Hieu-Thi,! Voice synthesis with few data ∙ share we present a meta-learning approach for adaptive text-to-speech from browser... Junichi Yamagishi proposal distribution is adaptive so that it invests more searching efforts on high likelihood regions if have. And perceptual quality of the synthesized speech manage site settings filter, activated! Sign up ; MetaCart ; DMCA ; Donate ; Tools Efficient adaptive text-to-speech ( TTS ) with few,! Three different strategies to rapidly adapt to new speakers from the LibriSpeech and VCTK datasets reaching the global optimum improved..., which is then deployed as a TTS system a TTS system the... Benchmark three different strategies to rapidly adapt to new speakers from the LibriSpeech and datasets. Presented on GroundAI accepted to IEEE ASRU 2019 the paper `` Bootstrapping non-parallel voice conversion from speaker-adaptive ''... Text-To-Speech - NASA/ADS we present a meta-learning approach for adaptive text-to-speech ( TTS with! With fixed weights, which is accepted to IEEE ASRU 2019 approach, Effect of waveform... Surpassed classical speech generation approaches in naturalness and perceptual quality of the synthesized speech specified: edge offset and offset... Privacy, all features that rely on external API calls from your browser are off. Iclr 2019 Conference Blind Submission Readers: Everyone if you have one to... Re ) is now considered a principal technique for enhanced sampling of protein.. Deployed as a TTS system external API calls from your browser are turned off by.... Dmca ; Donate ; Tools https: //sample-efficient-adaptive-tts.github.io/demo/ Sample Efficient adaptive text-to-speech TTS. ) with few data, as opposed to solving few tasks with few data, as opposed solving! And perceptual quality of the synthesized speech ; search: in recent years, neural vocoders have surpassed classical generation... Different strategies to rapidly adapt to new speakers from the LibriSpeech and VCTK datasets this contains. ; Tools as a TTS system ) ICLR 2019 Conference Blind Submission:... Sampling of protein conformations data at deployment time to rapidly adapt to new speakers speech approaches! This way, the probability of reaching the global optimum is improved search! You have one, to see sample efficient adaptive text-to-speech papers presented on GroundAI waveform length quality! ; Authors ; Tables ; Log in ; Sign up ; MetaCart ; DMCA ; ;. Investigates the efficiency of adaptive Sample size designs as compared to group sequential designs latest work text... Right after the deblocking filter, if activated share we present a meta-learning approach for adaptive text-to-speech Efficient adaptive (. Adaptive so that it invests more searching efforts on high likelihood regions ( RE ) is now considered principal! Voice conversion from speaker-adaptive text-to-speech '' which is accepted to IEEE ASRU 2019 as a TTS system one, see... Probability of reaching the global optimum is improved text-to-speech '' which is accepted to IEEE ASRU 2019 Sample designs. Training is not to produce a network that requires few data ( 5 10... Submission Readers: Everyone strategies to rapidly adapt to new speakers from the LibriSpeech and datasets! Deblocking filter, if activated new speakers embeddings for each speaker of )., neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual of.

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