67 citations · 380 across the 51 of their papers we have counts for
10 papers · 1 filter
Separating Long-Form Speech with Group-Wise Permutation Invariant Training
Wangyou Zhang, Zhuo Chen, Naoyuki Kanda +8
Multi-talker conversational speech processing has drawn many interests for various applications such as meeting transcription. Speech separation is often required to handle overlap…
Closing the Gap Between Time-Domain Multi-Channel Speech Enhancement on Real and Simulation Conditions
Wangyou Zhang, Jing Shi, Chenda Li +2
The deep learning based time-domain models, e.g. Conv-TasNet, have shown great potential in both single-channel and multi-channel speech enhancement. However, many experiments on t…
Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification
Zhengyang Chen, Sanyuan Chen, Yu Wu +5
The speech representations learned from large-scale unlabeled data have shown better generalizability than those from supervised learning and thus attract a lot of interest to be a…
Self-Supervised Learning Based Domain Adaptation for Robust Speaker Verification
Zhengyang Chen, Shuai Wang, Yanmin Qian
Large performance degradation is often observed for speaker ver-ification systems when applied to a new domain dataset. Givenan unlabeled target-domain dataset, unsupervised domain…
Basis-MelGAN: Efficient Neural Vocoder Based on Audio Decomposition
Zhengxi Liu, Yanmin Qian
Recent studies have shown that neural vocoders based on generative adversarial network (GAN) can generate audios with high quality. While GAN based neural vocoders have shown to be…
Dual-Path Modeling for Long Recording Speech Separation in Meetings
Chenda Li, Zhuo Chen, Yi Luo +6
The continuous speech separation (CSS) is a task to separate the speech sources from a long, partially overlapped recording, which involves a varying number of speakers. A straight…
End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend
Wangyou Zhang, Christoph Boeddeker, Shinji Watanabe +7
Recently, the end-to-end approach has been successfully applied to multi-speaker speech separation and recognition in both single-channel and multichannel conditions. However, seve…
The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods
Xian Shi, Fan Yu, Yizhou Lu +5
The variety of accents has posed a big challenge to speech recognition. The Accented English Speech Recognition Challenge (AESRC2020) is designed for providing a common testbed and…
AISPEECH-SJTU accent identification system for the Accented English Speech Recognition Challenge
Houjun Huang, Xu Xiang, Yexin Yang +2
This paper describes the AISpeech-SJTU system for the accent identification track of the Interspeech-2020 Accented English Speech Recognition Challenge. In this challenge track, on…
Unit selection synthesis based data augmentation for fixed phrase speaker verification
Houjun Huang, Xu Xiang, Fei Zhao +2
Data augmentation is commonly used to help build a robust speaker verification system, especially in limited-resource case. However, conventional data augmentation methods usually…