activity
20192023
most citedCombining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling

18 citations · 49 across the 10 of their papers we have counts for

collaborators

10 papers

eess.AS2023

CoMFLP: Correlation Measure based Fast Search on ASR Layer Pruning

Wei Liu, Zhiyuan Peng, Tan Lee

Transformer-based speech recognition (ASR) model with deep layers exhibited significant performance improvement. However, the model is inefficient for deployment on resource-constr…

eess.AS2023★ 1 cited

Sparsely Shared LoRA on Whisper for Child Speech Recognition

Wei Liu, Ying Qin, Zhiyuan Peng +1

Whisper is a powerful automatic speech recognition (ASR) model. Nevertheless, its zero-shot performance on low-resource speech requires further improvement. Child speech, as a repr…

cs.CL2023★ 15 cited

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models

Binfeng Xu, Zhiyuan Peng, Bowen Lei +3

Augmented Language Models (ALMs) blend the reasoning capabilities of Large Language Models (LLMs) with tools that allow for knowledge retrieval and action execution. Existing ALM s…

cs.SD2022

Label-free Knowledge Distillation with Contrastive Loss for Light-weight Speaker Recognition

Zhiyuan Peng, Xuanji He, Ke Ding +2

Very deep models for speaker recognition (SR) have demonstrated remarkable performance improvement in recent research. However, it is impractical to deploy these models for on-devi…

cs.SD2022

Covariance Regularization for Probabilistic Linear Discriminant Analysis

Zhiyuan Peng, Mingjie Shao, Xuanji He +4

Probabilistic linear discriminant analysis (PLDA) is commonly used in speaker verification systems to score the similarity of speaker embeddings. Recent studies improved the perfor…

cs.SD2022

Unifying Cosine and PLDA Back-ends for Speaker Verification

Zhiyuan Peng, Xuanji He, Ke Ding +2

State-of-art speaker verification (SV) systems use a back-end model to score the similarity of speaker embeddings extracted from a neural network model. The commonly used back-end…

eess.AS2021★ 10 cited

Exploiting Pre-Trained ASR Models for Alzheimer's Disease Recognition Through Spontaneous Speech

Ying Qin, Wei Liu, Zhiyuan Peng +4

Alzheimer's disease (AD) is a progressive neurodegenerative disease and recently attracts extensive attention worldwide. Speech technology is considered a promising solution for th…

eess.AS2020★ 4 cited

The CUHK-TUDELFT System for The SLT 2021 Children Speech Recognition Challenge

Si-Ioi Ng, Wei Liu, Zhiyuan Peng +4

This technical report describes our submission to the 2021 SLT Children Speech Recognition Challenge (CSRC) Track 1. Our approach combines the use of a joint CTC-attention end-to-e…

eess.AS2019★ 1 cited

Mixture factorized auto-encoder for unsupervised hierarchical deep factorization of speech signal

Zhiyuan Peng, Siyuan Feng, Tan Lee

Speech signal is constituted and contributed by various informative factors, such as linguistic content and speaker characteristic. There have been notable recent studies attemptin…

eess.AS2019★ 18 cited

Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling

Siyuan Feng, Tan Lee, Zhiyuan Peng

This study addresses the problem of unsupervised subword unit discovery from untranscribed speech. It forms the basis of the ultimate goal of ZeroSpeech 2019, building text-to-spee…