activity
20202022
most citedA Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques

26 citations · 39 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2022★ 7 cited

DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis

Bobo Li, Hao Fei, Fei Li +8

The rapid development of aspect-based sentiment analysis (ABSA) within recent decades shows great potential for real-world society. The current ABSA works, however, are mostly limi…

cs.SD2022★ 1 cited

Text-Aware End-to-end Mispronunciation Detection and Diagnosis

Linkai Peng, Yingming Gao, Binghuai Lin +3

Mispronunciation detection and diagnosis (MDD) technology is a key component of computer-assisted pronunciation training system (CAPT). In the field of assessing the pronunciation…

eess.AS2021★ 4 cited

Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers

Huahuan Zheng, Wenjie Peng, Zhijian Ou +1

Automatic speech recognition systems have been largely improved in the past few decades and current systems are mainly hybrid-based and end-to-end-based. The recently proposed CTC-…

cs.SD2021

Speech Enhancement using Separable Polling Attention and Global Layer Normalization followed with PReLU

Dengfeng Ke, Jinsong Zhang, Yanlu Xie +2

Single channel speech enhancement is a challenging task in speech community. Recently, various neural networks based methods have been applied to speech enhancement. Among these mo…

cs.CL2021★ 26 cited

A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques

Kaiqi Fu, Jones Lin, Dengfeng Ke +3

Recently, end-to-end mispronunciation detection and diagnosis (MD&D) systems has become a popular alternative to greatly simplify the model-building process of conventional hybrid…

eess.AS2020★ 1 cited

Formant Tracking Using Dilated Convolutional Networks Through Dense Connection with Gating Mechanism

Wang Dai, Jinsong Zhang, Yingming Gao +4

Formant tracking is one of the most fundamental problems in speech processing. Traditionally, formants are estimated using signal processing methods. Recent studies showed that gen…