2021
INTERSPEECH
INTERSPEECH 2021
speechocean762: An Open-Source Non-Native English Speech Corpus for Pronunciation Assessment
Abstract
This paper introduces a new open-source speech corpus named “speechocean762” designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native speakers, where half of the speakers are children. Five experts annotated each of the utterances at sentence-level, word-level and phoneme-level. A baseline system is released in open source to illustrate the phoneme-level pronunciation assessment workflow on this corpus. This corpus is allowed to be used freely for commercial and non-commercial purposes. It is available for free download from OpenSLR, and the corresponding baseline system is published in the Kaldi speech recognition toolkit.
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Keyword Pioneer
— phoneme-level annotation
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Machine Learning, Natural Language Processing, Reinforcement Learning, Speech & Audio
Authors
Junbo Zhang
,
Zhiwen Zhang
,
Yongqing Wang
,
Zhiyong Yan
,
Qiong Song
,
Yukai Huang
,
Ke Li
,
Daniel Povey
,
Yujun Wang