SpeechBlender: Speech Augmentation Framework for Mispronunciation Data
Generation

SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation

2 November 2022

Yassine El Kheir

Shammur A. Chowdhury

Papers citing "SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation"

7 / 7 papers shown

Title
3M: An Effective Multi-view, Multi-granularity, and Multi-aspect Modeling Approach to English Pronunciation Assessment Fu-An Chao Tien-Hong Lo Tzu-I Wu Yao-Ting Sung Berlin Chen 54 41 0 19 Aug 2022
Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment Yuan Gong Ziyi Chen I. Chu Peng Chang James R. Glass 43 50 0 06 May 2022
Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information Kaiqi Fu Shaojun Gao Kai Wang Wei Li Xiaohai Tian Zejun Ma 92 8 0 01 Mar 2022
A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques Kaiqi Fu Jones Lin Dengfeng Ke Yanlu Xie Jinsong Zhang Binghuai Lin 46 41 0 17 Apr 2021
speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment Junbo Zhang Zhiwen Zhang Yongqing Wang Zhiyong Yan Qiong Song Yukai Huang Ke Li Daniel Povey Yujun Wang 33 85 0 03 Apr 2021
Context-aware Goodness of Pronunciation for Computer-Assisted Pronunciation Training Jiatong Shi Nan Huo Qin Jin 36 55 0 19 Aug 2020
The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition Ahmed M. Ali P. Bell James R. Glass Yacine Messaoui Hamdy Mubarak Steve Renals Yifan Zhang AuLLM 32 112 0 19 Sep 2016

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