speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment
This addresses the need for accessible data for pronunciation assessment in non-native English speakers, particularly children, but is incremental as it primarily offers a new dataset.
The paper introduces speechocean762, an open-source corpus of 5000 English utterances from 250 non-native speakers, including children, with expert annotations at multiple levels, and provides a baseline system for pronunciation assessment.
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.