b'Yanmin Qian'

research

∙ 05/25/2023

Weakly-Supervised Speech Pre-training: A Case Study on Target Speech Recognition

Self-supervised learning (SSL) based speech pre-training has attracted m...

0 Wangyou Zhang, et al. ∙

research

∙ 05/18/2023

Whisper-KDQ: A Lightweight Whisper via Guided Knowledge Distillation and Quantization for Efficient ASR

Due to the rapid development of computing hardware resources and the dra...

0 Hang Shao, et al. ∙

research

∙ 05/18/2023

Attention-based Encoder-Decoder Network for End-to-End Neural Speaker Diarization with Target Speaker Attractor

This paper proposes a novel Attention-based Encoder-Decoder network for ...

0 Zhengyang Chen, et al. ∙

research

∙ 04/12/2023

Self-Supervised Learning with Cluster-Aware-DINO for High-Performance Robust Speaker Verification

Automatic speaker verification task has made great achievements using de...

0 Bing Han, et al. ∙

research

∙ 03/20/2023

Code-Switching Text Generation and Injection in Mandarin-English ASR

Code-switching speech refers to a means of expression by mixing two or m...

0 Haibin Yu, et al. ∙

research

∙ 11/17/2022

LongFNT: Long-form Speech Recognition with Factorized Neural Transducer

Traditional automatic speech recognition (ASR) systems usually focus on ...

0 Xun Gong, et al. ∙

research

∙ 11/02/2022

Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022

Different speaker recognition challenges have been held to assess the sp...

0 Zhengyang Chen, et al. ∙

research

∙ 10/31/2022

Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkit

Speaker modeling is essential for many related tasks, such as speaker re...

0 Hongji Wang, et al. ∙

research

∙ 10/28/2022

A comprehensive study on self-supervised distillation for speaker representation learning

In real application scenarios, it is often challenging to obtain a large...

0 Zhengyang Chen, et al. ∙

research

∙ 09/19/2022

SJTU-AISPEECH System for VoxCeleb Speaker Recognition Challenge 2022

This report describes the SJTU-AISPEECH system for the Voxceleb Speaker ...

0 Zhengyang Chen, et al. ∙

research

∙ 08/03/2022

The SJTU System for Short-duration Speaker Verification Challenge 2021

This paper presents the SJTU system for both text-dependent and text-ind...

0 Bing Han, et al. ∙

research

∙ 08/03/2022

Self-Supervised Speaker Verification Using Dynamic Loss-Gate and Label Correction

For self-supervised speaker verification, the quality of pseudo labels d...

0 Bing Han, et al. ∙

research

∙ 07/19/2022

ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding

This paper presents recent progress on integrating speech separation and...

0 Yen-Ju Lu, et al. ∙

research

∙ 07/15/2022

Knowledge Transfer and Distillation from Autoregressive to Non-Autoregressive Speech Recognition

Modern non-autoregressive (NAR) speech recognition systems aim to accele...

0 Xun Gong, et al. ∙

research

∙ 06/23/2022

The SJTU X-LANCE Lab System for CNSRC 2022

This technical report describes the SJTU X-LANCE Lab system for the thre...

0 Zhengyang Chen, et al. ∙

research

∙ 04/21/2022

Layer-wise Fast Adaptation for End-to-End Multi-Accent Speech Recognition

Accent variability has posed a huge challenge to automatic speech recogn...

0 Xun Gong, et al. ∙

research

∙ 04/01/2022

End-to-End Multi-speaker ASR with Independent Vector Analysis

We develop an end-to-end system for multi-channel, multi-speaker automat...

0 Robin Scheibler, et al. ∙

research

∙ 02/08/2022

Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge

The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Ch...

0 Fan Yu, et al. ∙

research

∙ 01/26/2022

SkiM: Skipping Memory LSTM for Low-Latency Real-Time Continuous Speech Separation

Continuous speech separation for meeting pre-processing has recently bec...

0 Chenda Li, et al. ∙

research

∙ 10/27/2021

Separating Long-Form Speech with Group-Wise Permutation Invariant Training

Multi-talker conversational speech processing has drawn many interests f...

0 Wangyou Zhang, et al. ∙

research

∙ 10/27/2021

Closing the Gap Between Time-Domain Multi-Channel Speech Enhancement on Real and Simulation Conditions

The deep learning based time-domain models, e.g. Conv-TasNet, have shown...

0 Wangyou Zhang, et al. ∙

research

∙ 10/26/2021

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Self-supervised learning (SSL) achieves great success in speech recognit...

0 Sanyuan Chen, et al. ∙

research

∙ 10/23/2021

Optimizing Alignment of Speech and Language Latent Spaces for End-to-End Speech Recognition and Understanding

The advances in attention-based encoder-decoder (AED) networks have brou...

1 Wei Wang, et al. ∙

research

∙ 10/12/2021

Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification

The speech representations learned from large-scale unlabeled data have ...

0 Zhengyang Chen, et al. ∙

research

∙ 08/31/2021

Self-Supervised Learning Based Domain Adaptation for Robust Speaker Verification

Large performance degradation is often observed for speaker ver-ificatio...

0 Zhengyang Chen, et al. ∙

research

∙ 06/25/2021

Basis-MelGAN: Efficient Neural Vocoder Based on Audio Decomposition

Recent studies have shown that neural vocoders based on generative adver...

0 Zhengxi Liu, et al. ∙

research

∙ 02/23/2021

Dual-Path Modeling for Long Recording Speech Separation in Meetings

The continuous speech separation (CSS) is a task to separate the speech ...

0 Chenda Li, et al. ∙

research

∙ 02/23/2021

End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend

Recently, the end-to-end approach has been successfully applied to multi...

0 Wangyou Zhang, et al. ∙

research

∙ 02/20/2021

The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods

The variety of accents has posed a big challenge to speech recognition. ...

0 Xian Shi, et al. ∙

research

∙ 02/19/2021

AISPEECH-SJTU accent identification system for the Accented English Speech Recognition Challenge

This paper describes the AISpeech-SJTU system for the accent identificat...

0 Houjun Huang, et al. ∙

research

∙ 02/19/2021

Unit selection synthesis based data augmentation for fixed phrase speaker verification

Data augmentation is commonly used to help build a robust speaker verifi...

0 Houjun Huang, et al. ∙

research

∙ 11/30/2020

Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation

Time-domain training criteria have proven to be very effective for the s...

0 Christoph Boeddeker, et al. ∙

research

∙ 11/04/2020

Data Augmentation for End-to-end Code-switching Speech Recognition

Training a code-switching end-to-end automatic speech recognition (ASR) ...

11 Chenpeng Du, et al. ∙

research

∙ 09/21/2020

End-to-End Speaker-Dependent Voice Activity Detection

Voice activity detection (VAD) is an essential pre-processing step for t...

0 Yefei Chen, et al. ∙

research

∙ 07/31/2020

Future Vector Enhanced LSTM Language Model for LVCSR

Language models (LM) play an important role in large vocabulary continuo...

0 Qi Liu, et al. ∙

research

∙ 07/26/2020

End-to-end spoofing detection with raw waveform CLDNNs

Albeit recent progress in speaker verification generates powerful models...

0 Heinrich Dinkel, et al. ∙

research

∙ 05/21/2020

End-to-End Far-Field Speech Recognition with Unified Dereverberation and Beamforming

Despite successful applications of end-to-end approaches in multi-channe...

0 Wangyou Zhang, et al. ∙

research

∙ 02/10/2020

End-to-End Multi-speaker Speech Recognition with Transformer

Recently, fully recurrent neural network (RNN) based end-to-end models h...

0 Xuankai Chang, et al. ∙

research

∙ 10/15/2019

MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition

Recently, the end-to-end approach has proven its efficacy in monaural mu...

0 Xuankai Chang, et al. ∙

research

∙ 06/18/2019

Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

Recently, speaker embeddings extracted from a speaker discriminative dee...

0 Xu Xiang, et al. ∙

research

∙ 11/05/2018

End-to-End Monaural Multi-speaker ASR System without Pretraining

Recently, end-to-end models have become a popular approach as an alterna...

0 Xuankai Chang, et al. ∙

research

∙ 08/02/2018

Sequence Discriminative Training for Deep Learning based Acoustic Keyword Spotting

Speech recognition is a sequence prediction problem. Besides employing v...

0 Zhehuai Chen, et al. ∙

research

∙ 07/24/2018

Deep Extractor Network for Target Speaker Recovery From Single Channel Speech Mixtures

Speaker-aware source separation methods are promising workarounds for ma...

0 Jun Wang, et al. ∙

research

∙ 05/03/2018

Deep Discriminant Analysis for i-vector Based Robust Speaker Recognition

Linear Discriminant Analysis (LDA) has been used as a standard post-proc...

0 Shuai Wang, et al. ∙

research

∙ 07/19/2017

Single-Channel Multi-talker Speech Recognition with Permutation Invariant Training

Although great progresses have been made in automatic speech recognition...

0 Yanmin Qian, et al. ∙

research

∙ 10/02/2016

Very Deep Convolutional Neural Networks for Robust Speech Recognition

This paper describes the extension and optimization of our previous work...

0 Yanmin Qian, et al. ∙

Yanmin Qian

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