speech-10

Phone-level pronunciation scoring

3260 papers • 126 benchmarks • 313 datasets

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speechocean762

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speechocean762

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Most implemented papers

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•Fri Apr 02 2021

This paper introduces a new open-source speech corpus, consisting of 5000 English utterances from 250 non-native speakers, where half of the speakers are children, designed for pronunciation assessment use.

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A transfer learning based approach for pronunciation scoring

Luciana Ferrer, Marcelo Sancinetti, Jazmín Vidal, Cyntia Bonomi•Thu Dec 31 2020

A transfer learning-based approach that leverages a model trained for ASR, adapting it for the task of pronunciation scoring, and is 20% better than the GOP system on EpaDB, a database for pronunciation scoring research, for a cost function that prioritizes low rates of unnecessary corrections.

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Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment

Yuan Gong, James R. Glass, I. Chu, Peng Chang•Thu May 05 2022

This work trains a Goodness Of Pronunciation feature-based Transformer (GOPT) with multi-task learning and shows that GOPT achieves the best results on speechocean762 with a public automatic speech recognition (ASR) acoustic model trained on Librispeech.

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