b'Jinyu Li'

research

∙ 06/12/2022

The YiTrans End-to-End Speech Translation System for IWSLT 2022 Offline Shared Task

This paper describes the submission of our end-to-end YiTrans speech tra...

Ziqiang Zhang, et al. ∙

research

∙ 04/27/2022

Ultra Fast Speech Separation Model with Teacher Student Learning

Transformer has been successfully applied to speech separation recently ...

Sanyuan Chen, et al. ∙

research

∙ 04/27/2022

Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?

Recently, self-supervised learning (SSL) has demonstrated strong perform...

Sanyuan Chen, et al. ∙

research

∙ 04/11/2022

Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

Neural transducers have been widely used in automatic speech recognition...

Jian Xue, et al. ∙

research

∙ 03/31/2022

Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data

This paper studies a novel pre-training technique with unpaired speech d...

Junyi Ao, et al. ∙

research

∙ 03/30/2022

Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings

This paper presents a streaming speaker-attributed automatic speech reco...

Naoyuki Kanda, et al. ∙

research

∙ 03/02/2022

Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems

Contextual biasing is an important and challenging task for end-to-end a...

Xiaoqiang Wang, et al. ∙

research

∙ 02/02/2022

Streaming Multi-Talker ASR with Token-Level Serialized Output Training

This paper proposes a token-level serialized output training (t-SOT), a ...

Naoyuki Kanda, et al. ∙

research

∙ 01/24/2022

Endpoint Detection for Streaming End-to-End Multi-talker ASR

Streaming end-to-end multi-talker speech recognition aims at transcribin...

Liang Lu, et al. ∙

research

∙ 12/16/2021

Self-Supervised Learning for speech recognition with Intermediate layer supervision

Recently, pioneer work finds that speech pre-trained models can solve fu...

Chengyi Wang, et al. ∙

research

∙ 12/10/2021

Sequence-level self-learning with multiple hypotheses

In this work, we develop new self-learning techniques with an attention-...

Kenichi Kumatani, et al. ∙

research

∙ 11/02/2021

Recent Advances in End-to-End Automatic Speech Recognition

Recently, the speech community is seeing a significant trend of moving f...

Jinyu Li, et al. ∙

research

∙ 10/28/2021

Continuous Speech Separation with Recurrent Selective Attention Network

While permutation invariant training (PIT) based continuous speech separ...

Yixuan Zhang, 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...

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...

Sanyuan Chen, et al. ∙

research

∙ 10/12/2021

UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training

Self-supervised learning (SSL) is a long-standing goal for speech proces...

Sanyuan Chen, et al. ∙

research

∙ 10/10/2021

Have best of both worlds: two-pass hybrid and E2E cascading framework for speech recognition

Hybrid and end-to-end (E2E) systems have their individual advantages, wi...

Guoli Ye, et al. ∙

research

∙ 10/06/2021

Internal Language Model Adaptation with Text-Only Data for End-to-End Speech Recognition

Text-only adaptation of an end-to-end (E2E) model remains a challenging ...

Zhong Meng, et al. ∙

research

∙ 09/27/2021

Factorized Neural Transducer for Efficient Language Model Adaptation

In recent years, end-to-end (E2E) based automatic speech recognition (AS...

Xie Chen, et al. ∙

research

∙ 09/17/2021

Continuous Streaming Multi-Talker ASR with Dual-path Transducers

Streaming recognition of multi-talker conversations has so far been eval...

Desh Raj, et al. ∙

research

∙ 08/17/2021

A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems

It's challenging to customize transducer-based automatic speech recognit...

Xiaoqiang Wang, et al. ∙

research

∙ 07/13/2021

A Configurable Multilingual Model is All You Need to Recognize All Languages

Multilingual automatic speech recognition (ASR) models have shown great ...

Long Zhou, et al. ∙

research

∙ 07/05/2021

Investigation of Practical Aspects of Single Channel Speech Separation for ASR

Speech separation has been successfully applied as a frontend processing...

Jian Wu, et al. ∙

research

∙ 06/04/2021

Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition

Integrating external language models (LMs) into end-to-end (E2E) models ...

Zhong Meng, et al. ∙

research

∙ 04/27/2021

On Addressing Practical Challenges for RNN-Transducer

In this paper, several works are proposed to address practical challenge...

Rui Zhao, et al. ∙

research

∙ 04/05/2021

Streaming Multi-talker Speech Recognition with Joint Speaker Identification

In multi-talker scenarios such as meetings and conversations, speech pro...

Liang Lu, et al. ∙

research

∙ 02/02/2021

Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition

The efficacy of external language model (LM) integration with existing e...

Zhong Meng, et al. ∙

research

∙ 11/26/2020

Streaming end-to-end multi-talker speech recognition

End-to-end multi-talker speech recognition is an emerging research trend...

Liang Lu, et al. ∙

research

∙ 11/08/2020

Listen, Look and Deliberate: Visual context-aware speech recognition using pre-trained text-video representations

In this study, we try to address the problem of leveraging visual signal...

Shahram Ghorbani, et al. ∙

research

∙ 11/03/2020

Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis

Multi-speaker speech recognition of unsegmented recordings has diverse a...

Desh Raj, et al. ∙

research

∙ 11/03/2020

Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition

The external language models (LM) integration remains a challenging task...

Zhong Meng, et al. ∙

research

∙ 10/23/2020

On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer

Hybrid Autoregressive Transducer (HAT) is a recently proposed end-to-end...

Liang Lu, et al. ∙

research

∙ 10/23/2020

Don't shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer

With its strong modeling capacity that comes from a multi-head and multi...

Sanyuan Chen, et al. ∙

research

∙ 10/22/2020

Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020

This paper describes the Microsoft speaker diarization system for monaur...

Xiong Xiao, et al. ∙

research

∙ 10/22/2020

Developing Real-time Streaming Transformer Transducer for Speech Recognition on Large-scale Dataset

Recently, Transformer based end-to-end models have achieved great succes...

Xie Chen, et al. ∙

research

∙ 10/20/2020

Speaker Separation Using Speaker Inventories and Estimated Speech

We propose speaker separation using speaker inventories and estimated sp...

Peidong Wang, et al. ∙

research

∙ 09/07/2020

An End-to-end Architecture of Online Multi-channel Speech Separation

Multi-speaker speech recognition has been one of the keychallenges in co...

Jian Wu, et al. ∙

research

∙ 08/14/2020

Adaptation Algorithms for Speech Recognition: An Overview

We present a structured overview of adaptation algorithms for neural net...

Peter Bell, et al. ∙

research

∙ 08/13/2020

Continuous Speech Separation with Conformer

Continuous speech separation plays a vital role in complicated speech re...

Sanyuan Chen, et al. ∙

research

∙ 08/12/2020

Transfer Learning Approaches for Streaming End-to-End Speech Recognition System

Transfer learning (TL) is widely used in conventional hybrid automatic s...

Vikas Joshi, et al. ∙

research

∙ 07/30/2020

Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability

Because of its streaming nature, recurrent neural network transducer (RN...

Jinyu Li, et al. ∙

research

∙ 05/28/2020

On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition

Recently, there has been a strong push to transition from hybrid models ...

Jinyu Li, et al. ∙

research

∙ 05/19/2020

Exploring Transformers for Large-Scale Speech Recognition

While recurrent neural networks still largely define state-of-the-art sp...

Liang Lu, et al. ∙

research

∙ 05/01/2020

Exploring Pre-training with Alignments for RNN Transducer based End-to-End Speech Recognition

Recently, the recurrent neural network transducer (RNN-T) architecture h...

Hu Hu, et al. ∙

research

∙ 04/25/2020

L-Vector: Neural Label Embedding for Domain Adaptation

We propose a novel neural label embedding (NLE) scheme for the domain ad...

Zhong Meng, et al. ∙

research

∙ 04/10/2020

Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR

Recently, a few novel streaming attention-based sequence-to-sequence (S2...

Hirofumi Inaguma, et al. ∙

research

∙ 03/17/2020

High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model

While the community keeps promoting end-to-end models over conventional ...

Jinyu Li, et al. ∙

research

∙ 01/30/2020

Continuous speech separation: dataset and analysis

This paper describes a dataset and protocols for evaluating continuous s...

Zhuo Chen, et al. ∙

research

∙ 01/06/2020

Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition

Teacher-student (T/S) has shown to be effective for domain adaptation of...

Zhong Meng, et al. ∙

research

∙ 01/06/2020

Character-Aware Attention-Based End-to-End Speech Recognition

Predicting words and subword units (WSUs) as the output has shown to be ...

Zhong Meng, et al. ∙

Jinyu Li

Featured Co-authors