b'Xuankai Chang'

DeepAI AI Chat

Featured Co-authors

Shinji Watanabe
209 publications
Hung-Yi Lee
174 publications
Dong Yu
143 publications
Kai-Wei Chang
140 publications
Lei Xie
126 publications
Yu Tsao
118 publications
Zhuo Chen
102 publications
Bo Xu
86 publications
Kai Yu
80 publications
Alan W Black
73 publications
Ngoc Thang Vu
64 publications

research

∙ 11/10/2022

A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding

Collecting sufficient labeled data for spoken language understanding (SL...

0 Yifan Peng, et al. ∙

research

∙ 10/19/2022

End-to-End Integration of Speech Recognition, Dereverberation, Beamforming, and Self-Supervised Learning Representation

Self-supervised learning representation (SSLR) has demonstrated its sign...

0 Yoshiki Masuyama, et al. ∙

research

∙ 10/16/2022

SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning

We present the SUPERB challenge at SLT 2022, which aims at learning self...

0 Tzu-hsun Feng, 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

∙ 07/14/2022

Two-Pass Low Latency End-to-End Spoken Language Understanding

End-to-end (E2E) models are becoming increasingly popular for spoken lan...

0 Siddhant Arora, et al. ∙

research

∙ 04/01/2022

End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation

This work presents our end-to-end (E2E) automatic speech recognition (AS...

0 Xuankai Chang, 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

∙ 03/14/2022

SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities

Transfer learning has proven to be crucial in advancing the state of spe...

0 Hsiang-Sheng Tsai, et al. ∙

research

∙ 03/01/2022

Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR

Graph-based temporal classification (GTC), a generalized form of the con...

0 Xuankai Chang, et al. ∙

research

∙ 02/24/2022

Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge

This paper describes our submission to the L3DAS22 Challenge Task 1, whi...

0 Yen-Ju Lu, et al. ∙

research

∙ 02/03/2022

Joint Speech Recognition and Audio Captioning

Speech samples recorded in both indoor and outdoor environments are ofte...

0 Chaitanya Narisetty, et al. ∙

research

∙ 12/17/2021

Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem

Deep learning based models have significantly improved the performance o...

0 Jing Shi, et al. ∙

research

∙ 11/29/2021

ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet

As Automatic Speech Processing (ASR) systems are getting better, there i...

0 Siddhant Arora, et al. ∙

research

∙ 10/09/2021

An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition

Self-supervised pretraining on speech data has achieved a lot of progres...

0 Xuankai Chang, et al. ∙

research

∙ 07/20/2021

Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models

Non-autoregressive (NAR) modeling has gained more and more attention in ...

0 Tianzi Wang, et al. ∙

research

∙ 07/13/2021

Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021

We present a system for the Zero Resource Speech Challenge 2021, which c...

0 Takashi Maekaku, et al. ∙

research

∙ 06/16/2021

Multi-Speaker ASR Combining Non-Autoregressive Conformer CTC and Conditional Speaker Chain

Non-autoregressive (NAR) models have achieved a large inference computat...

0 Pengcheng Guo, et al. ∙

research

∙ 05/03/2021

SUPERB: Speech processing Universal PERformance Benchmark

Self-supervised learning (SSL) has proven vital for advancing research i...

0 Shu-wen Yang, et al. ∙

research

∙ 01/06/2021

Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings

An end-to-end (E2E) speaker-attributed automatic speech recognition (SA-...

0 Xuankai Chang, et al. ∙

research

∙ 12/23/2020

The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans

This paper describes the recent development of ESPnet (https://github.co...

0 Shinji Watanabe, et al. ∙

research

∙ 11/07/2020

ESPnet-se: end-to-end speech enhancement and separation toolkit designed for asr integration

We present ESPnet-SE, which is designed for the quick development of spe...

0 Chenda Li, et al. ∙

research

∙ 10/26/2020

Recent Developments on ESPnet Toolkit Boosted by Conformer

In this study, we present recent developments on ESPnet: End-to-End Spee...

0 Pengcheng Guo, et al. ∙

research

∙ 08/11/2020

Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings

Recently, an end-to-end (E2E) speaker-attributed automatic speech recogn...

0 Naoyuki Kanda, et al. ∙

research

∙ 06/25/2020

Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals

Neural sequence-to-sequence models are well established for applications...

0 Jing Shi, 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

∙ 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

∙ 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. ∙