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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
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.
Code Repositories
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| phone-level-pronunciation-scoring-on | GOP | Pearson correlation coefficient (PCC): 0.45 |
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