activity
20192021
most citedA Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques

26 citations · 27 across the 4 of their papers we have counts for

collaborators

5 papers

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.CL202126 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

A multi-view approach for Mandarin non-native mispronunciation verification

Zhenyu Wang, John H. L. Hansen, Yanlu Xie

Traditionally, the performance of non-native mispronunciation verification systems relied on effective phone-level labelling of non-native corpora. In this study, a multi-view appr…

eess.AS20201 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…

q-bio.NC2019

Convolution Forgetting Curve Model for Repeated Learning

Yanlu Xie, Yue Chen, Man Li

Most of mathematic forgetting curve models fit well with the forgetting data under the learning condition of one time rather than repeated. In the paper, a convolution model of for…