Improving End-To-End Modeling for Mispronunciation Detection with
Effective Augmentation Mechanisms

Improving End-To-End Modeling for Mispronunciation Detection with Effective Augmentation Mechanisms

17 October 2021

Berlin Chen

Papers citing "Improving End-To-End Modeling for Mispronunciation Detection with Effective Augmentation Mechanisms"

6 / 6 papers shown

Title
Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods Shao-Wei Fan-Jiang Bi-Cheng Yan Tien-Hong Lo Fu-An Chao Berlin Chen 30 16 0 26 Aug 2021
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling Bi-Cheng Yan Meng-Che Wu Hsiao-Tsung Hung Berlin Chen 28 43 0 25 May 2020
An Effective End-to-End Modeling Approach for Mispronunciation Detection Tien-Hong Lo Shi-Yan Weng Hsiu-Jui Chang Berlin Chen 23 19 0 18 May 2020
Towards better decoding and language model integration in sequence to sequence models J. Chorowski Navdeep Jaitly 67 368 0 08 Dec 2016
Attention-Based Models for Speech Recognition J. Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho Yoshua Bengio 113 2,605 0 24 Jun 2015
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 609 31,406 0 16 Jan 2013