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20182026
most citedMetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement

117 citations · 233 across the 42 of their papers we have counts for

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38 papers · 1 filter

eess.AS2026

The ISCSLP 2026 Real-World Audio-Visual Speech Enhancement Challenge

Kai Li, Wenze Ren, Junjie Li +11

Audio-visual speech enhancement (AVSE) uses visual-speech cues from a target speaker to recover that speaker's speech from noisy or overlapping speech. Many widely used protocols c…

eess.AS20221 cited

Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GAN

Yin-Ping Cho, Yu Tsao, Hsin-Min Wang +1

Singing voice synthesis (SVS) is the computer production of a human-like singing voice from given musical scores. To accomplish end-to-end SVS effectively and efficiently, this wor…

eess.AS20222 cited

Partial Coupling of Optimal Transport for Spoken Language Identification

Xugang Lu, Peng Shen, Yu Tsao +1

In order to reduce domain discrepancy to improve the performance of cross-domain spoken language identification (SLID) system, as an unsupervised domain adaptation (UDA) method, we…

eess.AS2022

Continuous Speech for Improved Learning Pathological Voice Disorders

Syu-Siang Wang, Chi-Te Wang, Chih-Chung Lai +2

Goal: Numerous studies had successfully differentiated normal and abnormal voice samples. Nevertheless, further classification had rarely been attempted. This study proposes a nove…

eess.AS20221 cited

A Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies

Tassadaq Hussain, Muhammad Diyan, Mandar Gogate +4

Current deep learning (DL) based approaches to speech intelligibility enhancement in noisy environments are generally trained to minimise the distance between clean and enhanced sp…

eess.AS2022

EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement

Kuan-Chen Wang, Kai-Chun Liu, Hsin-Min Wang +1

Multimodal learning has been proven to be an effective method to improve speech enhancement (SE) performance, especially in challenging situations such as low signal-to-noise ratio…