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20162024
most citedVoice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks

151 citations · 423 across the 32 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.SD2021★ 1 cited

Direct Noisy Speech Modeling for Noisy-to-Noisy Voice Conversion

Chao Xie, Yi-Chiao Wu, Patrick Lumban Tobing +2

Beyond the conventional voice conversion (VC) where the speaker information is converted without altering the linguistic content, the background sounds are informative and need to…

eess.AS2021★ 1 cited

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

Hsin-Tien Chiang, Yi-Chiao Wu, Cheng Yu +4

Without the need of a clean reference, non-intrusive speech assessment methods have caught great attention for objective evaluations. Recently, deep neural network (DNN) models hav…

cs.SD2021★ 7 cited

Noisy-to-Noisy Voice Conversion Framework with Denoising Model

Chao Xie, Yi-Chiao Wu, Patrick Lumban Tobing +2

In a conventional voice conversion (VC) framework, a VC model is often trained with a clean dataset consisting of speech data carefully recorded and selected by minimizing backgrou…

eess.AS2021

Relational Data Selection for Data Augmentation of Speaker-dependent Multi-band MelGAN Vocoder

Yi-Chiao Wu, Cheng-Hung Hu, Hung-Shin Lee +5

Nowadays, neural vocoders can generate very high-fidelity speech when a bunch of training data is available. Although a speaker-dependent (SD) vocoder usually outperforms a speaker…

eess.AS2021★ 2 cited

The AS-NU System for the M2VoC Challenge

Cheng-Hung Hu, Yi-Chiao Wu, Wen-Chin Huang +6

This paper describes the AS-NU systems for two tracks in MultiSpeaker Multi-Style Voice Cloning Challenge (M2VoC). The first track focuses on using a small number of 100 target utt…

cs.SD2021★ 2 cited

Unified Source-Filter GAN: Unified Source-filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN

Reo Yoneyama, Yi-Chiao Wu, Tomoki Toda

We propose a unified approach to data-driven source-filter modeling using a single neural network for developing a neural vocoder capable of generating high-quality synthetic speec…

eess.AS2021★ 2 cited

crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder

Kazuhiro Kobayashi, Wen-Chin Huang, Yi-Chiao Wu +3

In this paper, we present an open-source software for developing a nonparallel voice conversion (VC) system named crank. Although we have released an open-source VC software based…