activity
20162026
most citedA CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition

32 citations · 46 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2026

NüshuVoice: Reviving the Voice of Endangered Nüshu with Pitch-Aware Text-to-Speech

Hongkun Yang, Xinhui Yi, Xiyan Zhao +13

Nüshu is an endangered phonetic script historically used by women in Jiangyong County, southern Hunan, China. While existing computational studies of Nüshu mainly focus on textual…

cs.CL2023★ 32 cited

A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition

Ruchao Fan, Wei Chu, Peng Chang +1

Recently, end-to-end models have been widely used in automatic speech recognition (ASR) systems. Two of the most representative approaches are connectionist temporal classification…

eess.AS2021

An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition

Ruchao Fan, Wei Chu, Peng Chang +2

Non-autoregressive mechanisms can significantly decrease inference time for speech transformers, especially when the single step variant is applied. Previous work on CTC alignment-…

eess.AS2021★ 3 cited

Low Resource German ASR with Untranscribed Data Spoken by Non-native Children -- INTERSPEECH 2021 Shared Task SPAPL System

Jinhan Wang, Yunzheng Zhu, Ruchao Fan +2

This paper describes the SPAPL system for the INTERSPEECH 2021 Challenge: Shared Task on Automatic Speech Recognition for Non-Native Children's Speech in German. ~ 5 hours of trans…

eess.AS2020

CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition

Ruchao Fan, Wei Chu, Peng Chang +1

We propose a CTC alignment-based single step non-autoregressive transformer (CASS-NAT) for speech recognition. Specifically, the CTC alignment contains the information of (a) the n…

eess.AS2019

Singing voice conversion with non-parallel data

Xin Chen, Wei Chu, Jinxi Guo +1

Singing voice conversion is a task to convert a song sang by a source singer to the voice of a target singer. In this paper, we propose using a parallel data free, many-to-one voic…

cs.SD2018★ 7 cited

BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition Machine

Yichao Zhou, Wei Chu, Sam Young +1

In this paper, we propose a recurrent neural network (RNN)-based MIDI music composition machine that is able to learn musical knowledge from existing Beatles' songs and generate mu…

eess.AS2018★ 4 cited

Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units

Zhangyu Xiao, Zhijian Ou, Wei Chu +1

In this paper, we present an end-to-end automatic speech recognition system, which successfully employs subword units in a hybrid CTC-Attention based system. The subword units are…

cs.CL2016

Speaker Cluster-Based Speaker Adaptive Training for Deep Neural Network Acoustic Modeling

Wei Chu, Ruxin Chen

A speaker cluster-based speaker adaptive training (SAT) method under deep neural network-hidden Markov model (DNN-HMM) framework is presented in this paper. During training, speake…