Voice conversion from non-parallel corpora using variational auto-encoder. - Chin-Cheng Hsu; Hsin-Te Hwang; Yi-Chiao Wu; Yu Tsao 001; Hsin-Min Wang (APSIPA, 2016)

Locally Linear Embedding for Exemplar-Based Spectral Conversion. - Yi-Chiao Wu; Hsin-Te Hwang; Chin-Cheng Hsu; Yu Tsao 001; Hsin-Min Wang (INTERSPEECH, 2016)

Dictionary update for NMF-based voice conversion using an encoder-decoder network. - Chin-Cheng Hsu; Hsin-Te Hwang; Yi-Chiao Wu; Yu Tsao 001; Hsin-Min Wang (ISCSLP, 2016)

Fast locally linear embedding algorithm for exemplar-based voice conversion. - Yu-Huai Peng; Chin-Cheng Hsu; Yi-Chiao Wu; Hsin-Te Hwang; Yi-Wen Liu; Yu Tsao 001; Hsin-Min Wang (APSIPA, 2017)

A locally linear embbeding based postfiltering approach for speech enhancement. - Yi-Chiao Wu; Hsin-Te Hwang; Syu-Siang Wang; Chin-Cheng Hsu; Ying-Hui Lai; Yu Tsao 001; Hsin-Min Wang (ICASSP, 2017)

Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks. - Chin-Cheng Hsu; Hsin-Te Hwang; Yi-Chiao Wu; Yu Tsao 001; Hsin-Min Wang (INTERSPEECH, 2017)

A Post-Filtering Approach Based on Locally Linear Embedding Difference Compensation for Speech Enhancement. - Yi-Chiao Wu; Hsin-Te Hwang; Syu-Siang Wang; Chin-Cheng Hsu; Yu Tsao 001; Hsin-Min Wang (INTERSPEECH, 2017)

Exemplar-Based Spectral Detail Compensation for Voice Conversion. - Yu-Huai Peng; Hsin-Te Hwang; Yi-Chiao Wu; Yu Tsao 001; Hsin-Min Wang (INTERSPEECH, 2018)

Collapsed Speech Segment Detection and Suppression for WaveNet Vocoder. - Yi-Chiao Wu; Kazuhiro Kobayashi; Tomoki Hayashi; Patrick Lumban Tobing; Tomoki Toda (INTERSPEECH, 2018)

NU Voice Conversion System for the Voice Conversion Challenge 2018. - Patrick Lumban Tobing; Yi-Chiao Wu; Tomoki Hayashi; Kazuhiro Kobayashi; Tomoki Toda (Odyssey, 2018)

The NU Non-Parallel Voice Conversion System for the Voice Conversion Challenge 2018. - Yi-Chiao Wu; Patrick Lumban Tobing; Tomoki Hayashi; Kazuhiro Kobayashi; Tomoki Toda (Odyssey, 2018)

An Evaluation of Deep Spectral Mappings and WaveNet Vocoder for Voice Conversion. - Patrick Lumban Tobing; Tomoki Hayashi; Yi-Chiao Wu; Kazuhiro Kobayashi; Tomoki Toda (SLT, 2018)

Voice Conversion Based on Locally Linear Embedding. - Hsin-Te Hwang; Yi-Chiao Wu; Yu-Huai Peng; Chin-Cheng Hsu; Yu Tsao 001; Hsin-Min Wang; Yih-Ru Wang; Sin-Horng Chen (J. Inf. Sci. Eng., 2018)

Locally Linear Embedding Based Post-Filtering for Speech Enhancement. - Hsin-Te Hwang; Yi-Chiao Wu; Syu-Siang Wang; Chin-Cheng Hsu; Yu Tsao 001; Hsin-Min Wang; Yih-Ru Wang; Sin-Horng Chen (J. Inf. Sci. Eng., 2018)

Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion. - Wen-Chin Huang; Yi-Chiao Wu; Hsin-Te Hwang; Patrick Lumban Tobing; Tomoki Hayashi; Kazuhiro Kobayashi; Tomoki Toda; Yu Tsao 001; Hsin-Min Wang (EUSIPCO, 2019)

Voice Conversion with Cyclic Recurrent Neural Network and Fine-tuned Wavenet Vocoder. - Patrick Lumban Tobing; Yi-Chiao Wu; Tomoki Hayashi; Kazuhiro Kobayashi; Tomoki Toda (ICASSP, 2019)

Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion. - Wen-Chin Huang; Yi-Chiao Wu; Chen-Chou Lo; Patrick Lumban Tobing; Tomoki Hayashi; Kazuhiro Kobayashi; Tomoki Toda; Yu Tsao 001; Hsin-Min Wang (INTERSPEECH, 2019)

Non-Parallel Voice Conversion with Cyclic Variational Autoencoder. - Patrick Lumban Tobing; Yi-Chiao Wu; Tomoki Hayashi; Kazuhiro Kobayashi; Tomoki Toda (INTERSPEECH, 2019)

Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation. - Yi-Chiao Wu; Tomoki Hayashi; Patrick Lumban Tobing; Kazuhiro Kobayashi; Tomoki Toda (INTERSPEECH, 2019)

Generalization of Spectrum Differential based Direct Waveform Modification for Voice Conversion. - Wen-Chin Huang; Yi-Chiao Wu; Kazuhiro Kobayashi; Yu-Huai Peng; Hsin-Te Hwang; Patrick Lumban Tobing; Yu Tsao 001; Hsin-Min Wang; Tomoki Toda (SSW, 2019)

Statistical Voice Conversion with Quasi-periodic WaveNet Vocoder. - Yi-Chiao Wu; Patrick Lumban Tobing; Tomoki Hayashi; Kazuhiro Kobayashi; Tomoki Toda (SSW, 2019)

Voice Conversion With CycleRNN-Based Spectral Mapping and Finely Tuned WaveNet Vocoder. - Patrick Lumban Tobing; Yi-Chiao Wu; Tomoki Hayashi; Kazuhiro Kobayashi; Tomoki Toda (IEEE Access, 2019)

The ASVspoof 2019 database. - Xin Wang 037; Junichi Yamagishi; Massimiliano Todisco; Héctor Delgado; Andreas Nautsch; Nicholas W. D. Evans; Md. Sahidullah; Ville Vestman; Tomi Kinnunen; Kong Aik Lee; Lauri Juvela; Paavo Alku; et al. (CoRR, 2019)

The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders. - Wen-Chin Huang; Patrick Lumban Tobing; Yi-Chiao Wu; Kazuhiro Kobayashi; Tomoki Toda (Blizzard Challenge / Voice Conversion Challenge, 2020)

Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN. - Patrick Lumban Tobing; Yi-Chiao Wu; Tomoki Toda (Blizzard Challenge / Voice Conversion Challenge, 2020)

Efficient Shallow Wavenet Vocoder Using Multiple Samples Output Based on Laplacian Distribution and Linear Prediction. - Patrick Lumban Tobing; Yi-Chiao Wu; Tomoki Hayashi; Kazuhiro Kobayashi; Tomoki Toda (ICASSP, 2020)

Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining. - Wen-Chin Huang; Tomoki Hayashi; Yi-Chiao Wu; Hirokazu Kameoka; Tomoki Toda (INTERSPEECH, 2020)

Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling. - Patrick Lumban Tobing; Tomoki Hayashi; Yi-Chiao Wu; Kazuhiro Kobayashi; Tomoki Toda (INTERSPEECH, 2020)

Quasi-Periodic Parallel WaveGAN Vocoder: A Non-Autoregressive Pitch-Dependent Dilated Convolution Model for Parametric Speech Generation. - Yi-Chiao Wu; Tomoki Hayashi; Takuma Okamoto; Hisashi Kawai; Tomoki Toda (INTERSPEECH, 2020)

A Cyclical Post-Filtering Approach to Mismatch Refinement of Neural Vocoder for Text-to-Speech Systems. - Yi-Chiao Wu; Patrick Lumban Tobing; Kazuki Yasuhara; Noriyuki Matsunaga; Yamato Ohtani; Tomoki Toda (INTERSPEECH, 2020)

Masked Neural Sparse Encoder for Face Occlusion Detection. - Bing-Fei Wu; Yi-Chiao Wu (SMC, 2020)

Non-Parallel Voice Conversion System With WaveNet Vocoder and Collapsed Speech Suppression. - Yi-Chiao Wu; Patrick Lumban Tobing; Kazuhiro Kobayashi; Tomoki Hayashi; Tomoki Toda (IEEE Access, 2020)

Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations. - Wen-Chin Huang; Yi-Chiao Wu; Tomoki Hayashi; Tomoki Toda (CoRR, 2020)

Noisy-to-Noisy Voice Conversion Framework with Denoising Model. - Chao Xie; Yi-Chiao Wu; Patrick Lumban Tobing; Wen-Chin Huang; Tomoki Toda (APSIPA ASC, 2021)

HASA-Net: A Non-Intrusive Hearing-Aid Speech Assessment Network. - Hsin-Tien Chiang; Yi-Chiao Wu; Cheng Yu; Tomoki Toda; Hsin-Min Wang; Yih-Chun Hu; Yu Tsao 001 (ASRU, 2021)

Any-to-One Sequence-to-Sequence Voice Conversion Using Self-Supervised Discrete Speech Representations. - Wen-Chin Huang; Yi-Chiao Wu; Tomoki Hayashi (ICASSP, 2021)

Crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder. - Kazuhiro Kobayashi; Wen-Chin Huang; Yi-Chiao Wu; Patrick Lumban Tobing; Tomoki Hayashi; Tomoki Toda (ICASSP, 2021)

Relational Data Selection for Data Augmentation of Speaker-Dependent Multi-Band MelGAN Vocoder. - Yi-Chiao Wu; Cheng-Hung Hu; Hung-Shin Lee; Yu-Huai Peng; Wen-Chin Huang; Yu Tsao 001; Hsin-Min Wang; Tomoki Toda (Interspeech, 2021)

Unified Source-Filter GAN: Unified Source-Filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN. - Reo Yoneyama; Yi-Chiao Wu; Tomoki Toda (Interspeech, 2021)

The AS-NU System for the M2VoC Challenge. - Cheng-Hung Hu; Yi-Chiao Wu; Wen-Chin Huang; Yu-Huai Peng; Yu-Wen Chen; Pin-Jui Ku; Tomoki Toda; Yu Tsao 001; Hsin-Min Wang (CoRR, 2021)

Pretraining Techniques for Sequence-to-Sequence Voice Conversion. - Wen-Chin Huang; Tomoki Hayashi; Yi-Chiao Wu; Hirokazu Kameoka; Tomoki Toda (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Quasi-Periodic Parallel WaveGAN: A Non-Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network. - Yi-Chiao Wu; Tomoki Hayashi; Takuma Okamoto; Hisashi Kawai; Tomoki Toda (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network. - Yi-Chiao Wu; Tomoki Hayashi; Patrick Lumban Tobing; Kazuhiro Kobayashi; Tomoki Toda (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Incorporating Prior Knowledge on Speech Production Mechanism into Neural Speech Waveform Generation. - Yi-Chiao Wu (2021)

Contactless Blood Pressure Measurement via Remote Photoplethysmography with Synthetic Data Generation Using Generative Adversarial Network. - Bing-Fei Wu; Li-Wen Chiu; Yi-Chiao Wu; Chun-Chih Lai; Pao-Hsien Chu (CVPR Workshops, 2022)

Direct Noisy Speech Modeling for Noisy-To-Noisy Voice Conversion. - Chao Xie; Yi-Chiao Wu; Patrick Lumban Tobing; Wen-Chin Huang; Tomoki Toda (ICASSP, 2022)

Unified Source-Filter GAN with Harmonic-plus-Noise Source Excitation Generation. - Reo Yoneyama; Yi-Chiao Wu; Tomoki Toda (INTERSPEECH, 2022)

Soft Label With Channel Encoding for Dependent Facial Image Classification. - Bing-Fei Wu; Yi-Chiao Wu; Li-Wen Chiu; Hsuan-Po Liu (IEEE Access, 2022)

A Cyclical Approach to Synthetic and Natural Speech Mismatch Refinement of Neural Post-filter for Low-cost Text-to-speech System. - Yi-Chiao Wu; Patrick Lumban Tobing; Kazuki Yasuhara; Noriyuki Matsunaga; Yamato Ohtani; Tomoki Toda (CoRR, 2022)

A Compensation Network With Error Mapping for Robust Remote Photoplethysmography in Noise-Heavy Conditions. - Bing-Fei Wu; Yi-Chiao Wu; Yi-Wei Chou (IEEE Trans. Instrum. Meas., 2022)

Audiodec: An Open-Source Streaming High-Fidelity Neural Audio Codec. - Yi-Chiao Wu; Israel D. Gebru; Dejan Markovic; Alexander Richard (ICASSP, 2023)

Source-Filter HiFi-GAN: Fast and Pitch Controllable High-Fidelity Neural Vocoder. - Reo Yoneyama; Yi-Chiao Wu; Tomoki Toda (ICASSP, 2023)

Audiobox: Unified Audio Generation with Natural Language Prompts. - Apoorv Vyas; Bowen Shi; Matthew Le 001; Andros Tjandra; Yi-Chiao Wu; Baishan Guo; Jiemin Zhang; Xinyue Zhang; Robert Adkins; William Ngan; Jeff Wang; Ivan Cruz; et al. (CoRR, 2023)

Recognizing, Fast and Slow: Complex Emotion Recognition With Facial Expression Detection and Remote Physiological Measurement. - Yi-Chiao Wu; Li-Wen Chiu; Chun-Chih Lai; Bing-Fei Wu; Sunny S. J. Lin (IEEE Trans. Affect. Comput., 2023)

High-Fidelity and Pitch-Controllable Neural Vocoder Based on Unified Source-Filter Networks. - Reo Yoneyama; Yi-Chiao Wu; Tomoki Toda (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Deep-Learning-Based Remote Photoplethysmography Measurement in Driving Scenarios With Color and Near-Infrared Images. - Li-Wen Chiu; Yang-Ren Chou; Yi-Chiao Wu; Bing-Fei Wu (IEEE Trans. Instrum. Meas., 2023)

Motion Robust Remote Photoplethysmography Measurement During Exercise for Contactless Physical Activity Intensity Detection. - Yi-Chiao Wu; Li-Wen Chiu; Bing-Fei Wu; Linda Li-Chuan Lin; Tsai-Hsuan Ho; Meng-Liang Chung; Shou-Fang Wu (IEEE Trans. Instrum. Meas., 2023)

EMO-Codec: An In-Depth Look at Emotion Preservation Capacity of Legacy and Neural Codec Models with Subjective and Objective Evaluations. - Wenze Ren; Yi-Cheng Lin; Huang-Cheng Chou; Haibin Wu; Yi-Chiao Wu; Chi-Chun Lee; Hung-Yi Lee; Hsin-Min Wang; Yu Tsao 001 (APSIPA, 2024)

ScoreDec: A Phase-Preserving High-Fidelity Audio Codec with a Generalized Score-Based Diffusion Post-Filter. - Yi-Chiao Wu; Dejan Markovic; Steven Krenn; Israel D. Gebru; Alexander Richard (ICASSP, 2024)

EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation. - Julius Richter; Yi-Chiao Wu; Steven Krenn; Simon Welker; Bunlong Lay; Shinji Watanabe 001; Alexander Richard; Timo Gerkmann (INTERSPEECH, 2024)

Codec-Superb @ SLT 2024: A Lightweight Benchmark For Neural Audio Codec Models. - Haibin Wu; Xuanjun Chen; Yi-Cheng Lin; Kaiwei Chang; Jiawei Du; Ke-Han Lu; Alexander H. Liu; Ho-Lam Chung; Yuan-Kuei Wu; Dongchao Yang; Songxiang Liu; Yi-Chiao Wu; et al. (SLT, 2024)

EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations. - Wenze Ren; Yi-Cheng Lin; Huang-Cheng Chou; Haibin Wu; Yi-Chiao Wu; Chi-Chun Lee; Hung-yi Lee; Yu Tsao 001 (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

Multi-Speaker Text-to-Speech Training With Speaker Anonymized Data. - Wen-Chin Huang; Yi-Chiao Wu; Tomoki Toda (IEEE Signal Process. Lett., 2024)

Video-Based Contactless Detection of Sleep Apnea With Deep-Learning Model. - Li-Wen Chiu; Yang-Ren Chou; Yi-Chiao Wu; Meng-Liang Chung; Bing-Fei Wu; Kun-Ta Chou (IEEE Trans. Instrum. Meas., 2024)

Contactless Blood Pressure Measurement Via Remote Photoplethysmography With Synthetic Data Generation Using Generative Adversarial Networks. - Bing-Fei Wu; Li-Wen Chiu; Yi-Chiao Wu; Chun-Chih Lai; Hao-Min Cheng; Pao-Hsien Chu (IEEE J. Biomed. Health Informatics, 2024)

Contact-Free Atrial Fibrillation Screening With Attention Network. - Yi-Chiao Wu; Chun-Hsien Lin; Li-Wen Chiu; Bing-Fei Wu; Meng-Liang Chung; Sung-Chun Tang; Yu Sun (IEEE J. Biomed. Health Informatics, 2024)

ComplexDec: A Domain-robust High-fidelity Neural Audio Codec with Complex Spectrum Modeling. - Yi-Chiao Wu; Dejan Markovic; Steven Krenn; Israel D. Gebru; Alexander Richard (ICASSP, 2025)

FlowDec: A flow-based full-band general audio codec with high perceptual quality. - Simon Welker; Matthew Le 001; Ricky T. Q. Chen; Wei-Ning Hsu; Timo Gerkmann; Alexander Richard; Yi-Chiao Wu (ICLR, 2025)

Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound. - Andros Tjandra; Yi-Chiao Wu; Baishan Guo; John Hoffman; Brian Ellis; Apoorv Vyas; Bowen Shi; Sanyuan Chen; Matt Le 001; Nick Zacharov; Carleigh Wood; Ann Lee 001; et al. (CoRR, 2025)