暂无分享,去创建一个
Haizhou Li | Yi Zhou | Li Zhao | Mingyang Zhang | Haizhou Li | Mingyang Zhang | Yi Zhou | Li Zhao
[1] Mikihiro Nakagiri,et al. Statistical Voice Conversion Techniques for Body-Conducted Unvoiced Speech Enhancement , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[2] Satoshi Nakamura,et al. Speaker adaptation and voice conversion by codebook mapping , 1991, 1991., IEEE International Sympoisum on Circuits and Systems.
[3] Shinnosuke Takamichi,et al. Non-Parallel Voice Conversion Using Variational Autoencoders Conditioned by Phonetic Posteriorgrams and D-Vectors , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[4] Patrick Nguyen,et al. Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis , 2018, NeurIPS.
[5] Haizhou Li,et al. A Voice Conversion Framework with Tandem Feature Sparse Representation and Speaker-Adapted WaveNet Vocoder , 2018, INTERSPEECH.
[6] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[7] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[8] Doo-young Kim,et al. Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data , 2020, INTERSPEECH.
[9] Junichi Yamagishi,et al. The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods , 2018, Odyssey.
[10] Navdeep Jaitly,et al. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] Haizhou Li,et al. An Exemplar-Based Approach to Frequency Warping for Voice Conversion , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[12] Masataka Goto,et al. Speech-to-Singing Synthesis: Converting Speaking Voices to Singing Voices by Controlling Acoustic Features Unique to Singing Voices , 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
[13] Chung-Hsien Wu,et al. Voice conversion using duration-embedded bi-HMMs for expressive speech synthesis , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[14] Haizhou Li,et al. Group Sparse Representation With WaveNet Vocoder Adaptation for Spectrum and Prosody Conversion , 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[15] Haizhou Li,et al. DeepConversion: Voice conversion with limited parallel training data , 2020, Speech Commun..
[16] Masanori Morise,et al. WORLD: A Vocoder-Based High-Quality Speech Synthesis System for Real-Time Applications , 2016, IEICE Trans. Inf. Syst..
[17] Chng Eng Siong,et al. System fusion for high-performance voice conversion , 2015, INTERSPEECH.
[18] Yoshua Bengio,et al. Attention-Based Models for Speech Recognition , 2015, NIPS.
[19] Yuxuan Wang,et al. Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron , 2018, ICML.
[20] Frank K. Soong,et al. A frame mapping based HMM approach to cross-lingual voice transformation , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[21] Daniel Erro,et al. INCA Algorithm for Training Voice Conversion Systems From Nonparallel Corpora , 2010, IEEE Transactions on Audio, Speech, and Language Processing.
[22] Yu Tsao,et al. Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech , 2019, INTERSPEECH.
[23] Erik McDermott,et al. Deep neural networks for small footprint text-dependent speaker verification , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[24] Alexander Kain,et al. Spectral voice conversion for text-to-speech synthesis , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[25] Junichi Yamagishi,et al. NAUTILUS: A Versatile Voice Cloning System , 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[26] Yu Tsao,et al. Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks , 2017, INTERSPEECH.
[27] Jae S. Lim,et al. Signal estimation from modified short-time Fourier transform , 1983, ICASSP.
[28] Hui Bu,et al. AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale , 2018, ArXiv.
[29] Xin Wang,et al. Zero-Shot Multi-Speaker Text-To-Speech with State-Of-The-Art Neural Speaker Embeddings , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[30] Bin Ma,et al. Voice conversion: From spoken vowels to singing vowels , 2010, 2010 IEEE International Conference on Multimedia and Expo.
[31] Athanasios Mouchtaris,et al. Conditional Vector Quantization for Voice Conversion , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[32] Kun Li,et al. Voice conversion using deep Bidirectional Long Short-Term Memory based Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[33] Masanobu Abe,et al. Speaker Dependent Approach for Enhancing a Glossectomy Patient's Speech via GMM-Based Voice Conversion , 2017, INTERSPEECH.
[34] Li-Rong Dai,et al. Voice Conversion Using Deep Neural Networks With Layer-Wise Generative Training , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[35] Tomoki Toda,et al. Speaking-aid systems using GMM-based voice conversion for electrolaryngeal speech , 2012, Speech Commun..
[36] Yu Tsao,et al. Voice conversion from non-parallel corpora using variational auto-encoder , 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).
[37] Haizhou Li,et al. Sparse representation of phonetic features for voice conversion with and without parallel data , 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[38] Daniel Erro,et al. Frame alignment method for cross-lingual voice conversion , 2007, INTERSPEECH.
[39] Haizhou Li,et al. Average Modeling Approach to Voice Conversion with Non-Parallel Data , 2018, Odyssey.
[40] R. Kubichek,et al. Mel-cepstral distance measure for objective speech quality assessment , 1993, Proceedings of IEEE Pacific Rim Conference on Communications Computers and Signal Processing.
[41] Patrick Kenny,et al. Front-End Factor Analysis for Speaker Verification , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[42] Kou Tanaka,et al. Cyclegan-VC2: Improved Cyclegan-based Non-parallel Voice Conversion , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[43] Tomoki Toda,et al. Voice Conversion Based on Maximum-Likelihood Estimation of Spectral Parameter Trajectory , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[44] Hirokazu Kameoka,et al. CycleGAN-VC: Non-parallel Voice Conversion Using Cycle-Consistent Adversarial Networks , 2018, 2018 26th European Signal Processing Conference (EUSIPCO).
[45] Timothy J. Hazen,et al. Query-by-example spoken term detection using phonetic posteriorgram templates , 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.
[46] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[47] Ron J. Weiss,et al. Unsupervised Speech Representation Learning Using WaveNet Autoencoders , 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[48] Hao Wang,et al. Phonetic posteriorgrams for many-to-one voice conversion without parallel data training , 2016, 2016 IEEE International Conference on Multimedia and Expo (ICME).
[49] Samy Bengio,et al. Tacotron: Towards End-to-End Speech Synthesis , 2017, INTERSPEECH.
[50] Chng Eng Siong,et al. Correlation-based frequency warping for voice conversion , 2014, The 9th International Symposium on Chinese Spoken Language Processing.
[51] Junichi Yamagishi,et al. Bootstrapping Non-Parallel Voice Conversion from Speaker-Adaptive Text-to-Speech , 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[52] Li-Rong Dai,et al. Improving Sequence-to-sequence Voice Conversion by Adding Text-supervision , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[53] Haizhou Li,et al. Exemplar-Based Sparse Representation With Residual Compensation for Voice Conversion , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[54] Daniel Povey,et al. The Kaldi Speech Recognition Toolkit , 2011 .
[55] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[56] Hirokazu Kameoka,et al. Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining , 2019, INTERSPEECH.
[57] Heiga Zen,et al. LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech , 2019, INTERSPEECH.
[58] Li-Rong Dai,et al. Sequence-to-Sequence Acoustic Modeling for Voice Conversion , 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[59] Roland Kuhn,et al. Rapid speaker adaptation in eigenvoice space , 2000, IEEE Trans. Speech Audio Process..
[60] Quan Wang,et al. Generalized End-to-End Loss for Speaker Verification , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[61] Li-Rong Dai,et al. Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations , 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[62] Heiga Zen,et al. WaveNet: A Generative Model for Raw Audio , 2016, SSW.
[63] Seyed Hamidreza Mohammadi,et al. Voice conversion using deep neural networks with speaker-independent pre-training , 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).
[64] Sercan Ömer Arik,et al. Neural Voice Cloning with a Few Samples , 2018, NeurIPS.
[65] Tetsuya Takiguchi,et al. Voice conversion in high-order eigen space using deep belief nets , 2013, INTERSPEECH.
[66] Tomoki Toda,et al. Modulation spectrum-constrained trajectory training algorithm for GMM-based Voice Conversion , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[67] Levent M. Arslan,et al. Robust processing techniques for voice conversion , 2006, Comput. Speech Lang..
[68] Lin-Shan Lee,et al. Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations , 2018, INTERSPEECH.
[69] Junichi Yamagishi,et al. High-Quality Nonparallel Voice Conversion Based on Cycle-Consistent Adversarial Network , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[70] Satoshi Nakamura,et al. Voice conversion through vector quantization , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[71] Tomoki Toda,et al. Eigenvoice conversion based on Gaussian mixture model , 2006, INTERSPEECH.
[72] Haizhou Li,et al. Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet , 2019, INTERSPEECH.