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09/21/2023
Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition
Current speaker recognition systems primarily rely on supervised approac...
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09/19/2023
USED: Universal Speaker Extraction and Diarization
Speaker extraction and diarization are two crucial enabling techniques f...
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09/13/2023
Attention-based Encoder-Decoder End-to-End Neural Diarization with Embedding Enhancer
Deep neural network-based systems have significantly improved the perfor...
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08/28/2023
InstructME: An Instruction Guided Music Edit And Remix Framework with Latent Diffusion Models
Music editing primarily entails the modification of instrument tracks or...
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07/23/2023
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation
Neural speech separation has made remarkable progress and its integratio...
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07/17/2023
Exploring Binary Classification Loss For Speaker Verification
The mismatch between close-set training and open-set testing usually lea...
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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...
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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...
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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 ...
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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...
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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...
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11/17/2022
LongFNT: Long-form Speech Recognition with Factorized Neural Transducer
Traditional automatic speech recognition (ASR) systems usually focus on ...
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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...
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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...
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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...
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09/19/2022
SJTU-AISPEECH System for VoxCeleb Speaker Recognition Challenge 2022
This report describes the SJTU-AISPEECH system for the Voxceleb Speaker ...
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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...
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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...
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07/19/2022
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding
This paper presents recent progress on integrating speech separation and...
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07/15/2022
Knowledge Transfer and Distillation from Autoregressive to Non-Autoregressive Speech Recognition
Modern non-autoregressive (NAR) speech recognition systems aim to accele...
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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...
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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...
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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...
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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...
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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...
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10/27/2021
Separating Long-Form Speech with Group-Wise Permutation Invariant Training
Multi-talker conversational speech processing has drawn many interests f...
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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...
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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...
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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...
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10/12/2021
Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification
The speech representations learned from large-scale unlabeled data have ...
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08/31/2021
Self-Supervised Learning Based Domain Adaptation for Robust Speaker Verification
Large performance degradation is often observed for speaker ver-ificatio...
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06/25/2021
Basis-MelGAN: Efficient Neural Vocoder Based on Audio Decomposition
Recent studies have shown that neural vocoders based on generative adver...
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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 ...
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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...
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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. ...
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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...
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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...
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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...
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11/04/2020
Data Augmentation for End-to-end Code-switching Speech Recognition
Training a code-switching end-to-end automatic speech recognition (ASR) ...
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09/21/2020
End-to-End Speaker-Dependent Voice Activity Detection
Voice activity detection (VAD) is an essential pre-processing step for t...
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07/31/2020
Future Vector Enhanced LSTM Language Model for LVCSR
Language models (LM) play an important role in large vocabulary continuo...
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07/26/2020
End-to-end spoofing detection with raw waveform CLDNNs
Albeit recent progress in speaker verification generates powerful models...
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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...
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02/10/2020
End-to-End Multi-speaker Speech Recognition with Transformer
Recently, fully recurrent neural network (RNN) based end-to-end models h...
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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...
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06/18/2019
Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition
Recently, speaker embeddings extracted from a speaker discriminative dee...
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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...
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08/02/2018
Sequence Discriminative Training for Deep Learning based Acoustic Keyword Spotting
Speech recognition is a sequence prediction problem. Besides employing v...
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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...
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05/03/2018
