MultiPA: A Multi-task Speech Pronunciation Assessment Model for Open Response Scenarios

• URL: http://arxiv.org/abs/2308.12490v2
• Date: Wed, 5 Jun 2024 02:16:42 GMT
• Title: MultiPA: A Multi-task Speech Pronunciation Assessment Model for Open Response Scenarios
• Authors: Yu-Wen Chen, Zhou Yu, Julia Hirschberg,
• Abstract summary: Pronunciation assessment models enable users to practice language skills in a manner similar to real-life communication. We propose MultiPA, a Multitask Pronunciation Assessment model that provides sentence-level accuracy, fluency, prosody, and word-level accuracy assessment for open responses.
• Score: 26.852744399985475
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Pronunciation assessment models designed for open response scenarios enable users to practice language skills in a manner similar to real-life communication. However, previous open-response pronunciation assessment models have predominantly focused on a single pronunciation task, such as sentence-level accuracy, rather than offering a comprehensive assessment in various aspects. We propose MultiPA, a Multitask Pronunciation Assessment model that provides sentence-level accuracy, fluency, prosody, and word-level accuracy assessment for open responses. We examined the correlation between different pronunciation tasks and showed the benefits of multi-task learning. Our model reached the state-of-the-art performance on existing in-domain data sets and effectively generalized to an out-of-domain dataset that we newly collected. The experimental results demonstrate the practical utility of our model in real-world applications.

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