activity
20182026
most citedVoice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining

38 citations · 154 across the 45 of their papers we have counts for

collaborators

59 papers

cs.SD2026

NeuMark: Neural Codec Resynthesis-Robust Audio Watermarking in the Codec Latent Space

Annan Wu, Wen-Chin Huang, Tomoki Toda

Audio watermarking is increasingly important for tracing generated speech. Several audio watermarking methods have been proposed to embed the watermark in various domains, such as…

cs.SD2026

Attacking UTMOS: Probing the Robustness of a Speech Quality Assessment Model

Wen-Chin Huang, Tomoki Toda

UTMOS has become one of the most commonly used deep neural network-based speech quality assessment (SQA) metrics in speech processing research. In this paper, we attack UTMOS to pr…

cs.SD2026

RAS: a Reliability Oriented Metric for Automatic Speech Recognition

Wenbin Huang, Yuhang Qiu, Bohan Li +5

Automatic speech recognition systems often produce confident yet incorrect transcriptions under noisy or ambiguous conditions, which can be misleading for both users and downstream…

eess.AS2026

MOS-Bias: From Hidden Gender Bias to Gender-Aware Speech Quality Assessment

Wenze Ren, Yi-Cheng Lin, Wen-Chin Huang +5

The Mean Opinion Score (MOS) serves as the standard metric for speech quality assessment, yet biases in human annotations remain underexplored. We conduct the first systematic anal…

cs.SD2025

An Extensive Analysis of the Singing Voice Conversion Challenge 2025 Evaluation Results

Lester Phillip Violeta, Xueyao Zhang, Jiatong Shi +4

We present a thorough analysis of the findings of the latest iteration of the Singing Voice Conversion Challenge, a scientific event aiming to compare and understand different voic…

cs.SD2025

The AudioMOS Challenge 2025

Wen-Chin Huang, Hui Wang, Cheng Liu +6

This is the summary paper for the AudioMOS Challenge 2025, the very first challenge for automatic subjective quality prediction for synthetic audio. The challenge consists of three…