Yi-Chiao, Wu

About Yi-Chiao, Wu

Yi-Chiao, Wu, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at Nagoya University, specializes in the field of Speech Generation, Machine Learning, Speech Processing, Audio Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

ScoreDec: A Phase-preserving High-Fidelity Audio Codec with A Generalized Score-based Diffusion Post-filter

Audiobox: Unified audio generation with natural language prompts

High-Fidelity and Pitch-Controllable Neural Vocoder Based on Unified Source-Filter Networks

Source-filter hifi-gan: Fast and pitch controllable high-fidelity neural vocoder

AudioDec: An Open-Source Streaming High-Fidelity Neural Audio Codec

A Cyclical Approach to Synthetic and Natural Speech Mismatch Refinement of Neural Post-filter for Low-cost Text-to-speech System

Direct noisy speech modeling for noisy-to-noisy voice conversion

Unified source-filter GAN with harmonic-plus-noise source excitation generation

Yi-Chiao, Wu Information

University

Position

___

Citations(all)

1759

Citations(since 2020)

1588

Cited By

768

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Yi-Chiao, Wu Skills & Research Interests

Speech Generation

Machine Learning

Speech Processing

Audio Signal Processing

Top articles of Yi-Chiao, Wu

ScoreDec: A Phase-preserving High-Fidelity Audio Codec with A Generalized Score-based Diffusion Post-filter

arXiv preprint arXiv:2401.12160

2024/1/22

Audiobox: Unified audio generation with natural language prompts

arXiv preprint arXiv:2312.15821

2023/12/25

High-Fidelity and Pitch-Controllable Neural Vocoder Based on Unified Source-Filter Networks

IEEE/ACM Transactions on Audio, Speech, and Language Processing

2023/9/11

Source-filter hifi-gan: Fast and pitch controllable high-fidelity neural vocoder

2023/6/4

AudioDec: An Open-Source Streaming High-Fidelity Neural Audio Codec

2023/6/4

A Cyclical Approach to Synthetic and Natural Speech Mismatch Refinement of Neural Post-filter for Low-cost Text-to-speech System

APSIPA Transactions on Signal and Information Processing

2022/7/13

Direct noisy speech modeling for noisy-to-noisy voice conversion

2022/5/23

Unified source-filter GAN with harmonic-plus-noise source excitation generation

arXiv preprint arXiv:2205.06053

2022/5/12

Noisy-to-noisy voice conversion framework with denoising model

2021/12/14

Hasa-net: A non-intrusive hearing-aid speech assessment network

2021/12/13

Relational data selection for data augmentation of speaker-dependent multi-band melgan vocoder

arXiv preprint arXiv:2106.05629

2021/6/10

crank: An open-source software for nonparallel voice conversion based on vector-quantized variational autoencoder

2021/6/6

Any-to-one sequence-to-sequence voice conversion using self-supervised discrete speech representations

2021/6/6

Unified source-filter GAN: Unified source-filter network based on factorization of quasi-periodic parallel WaveGAN

arXiv preprint arXiv:2104.04668

2021/4/10

The as-nu system for the m2voc challenge

arXiv preprint arXiv:2104.03009

2021/4/7

A unified source-filter network for neural vocoder

IEICE Technical Report; IEICE Tech. Rep.

2021/2/24

Quasi-periodic WaveNet: An autoregressive raw waveform generative model with pitch-dependent dilated convolution neural network

IEEE/ACM Transactions on Audio, Speech, and Language Processing

2021/2/23

Quasi-periodic parallel WaveGAN: A non-autoregressive raw waveform generative model with pitch-dependent dilated convolution neural network

IEEE/ACM Transactions on Audio, Speech, and Language Processing

2021/1/14

Pretraining techniques for sequence-to-sequence voice conversion

IEEE/ACM Transactions on Audio, Speech, and Language Processing

2021/1/5

Non-parallel voice conversion system with WaveNet vocoder and collapsed speech suppression

IEEE Access

2020/3/30

See List of Professors in Yi-Chiao, Wu University(Nagoya University)

Co-Authors

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