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Papers/speechocean762: An Open-Source Non-native English Speech C...

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

2021-04-03speech-recognitionPhone-level pronunciation scoring
PaperPDFCodeCode(official)

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.

Results

TaskDatasetMetricValueModel
Pronunciation Assessmentspeechocean762Pearson correlation coefficient (PCC)0.45GOP

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