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20212026
most citedAttention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances

24 citations · 39 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.SD2024★ 1 cited

SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios

Kai Li, Wendi Sang, Chang Zeng +3

Systematic evaluation of speech separation and enhancement models under moving sound source conditions requires extensive and diverse data. However, real-world datasets often lack…

eess.AS2024

InstructSing: High-Fidelity Singing Voice Generation via Instructing Yourself

Chang Zeng, Chunhui Wang, Xiaoxiao Miao +3

It is challenging to accelerate the training process while ensuring both high-quality generated voices and acceptable inference speed. In this paper, we propose a novel neural voco…

eess.AS2024

Spoofing-Aware Speaker Verification Robust Against Domain and Channel Mismatches

Chang Zeng, Xiaoxiao Miao, Xin Wang +2

In real-world applications, it is challenging to build a speaker verification system that is simultaneously robust against common threats, including spoofing attacks, channel misma…

cs.SD2024

A Benchmark for Multi-speaker Anonymization

Xiaoxiao Miao, Ruijie Tao, Chang Zeng +1

Privacy-preserving voice protection approaches primarily suppress privacy-related information derived from paralinguistic attributes while preserving the linguistic content. Existi…

cs.SD2024★ 1 cited

HAM-TTS: Hierarchical Acoustic Modeling for Token-Based Zero-Shot Text-to-Speech with Model and Data Scaling

Chunhui Wang, Chang Zeng, Bowen Zhang +6

Token-based text-to-speech (TTS) models have emerged as a promising avenue for generating natural and realistic speech, yet they grapple with low pronunciation accuracy, speaking s…