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This study explores the impact of using non-native speech data in acoustic model training for pronunciation assessment systems. The goal is to determine how ...
Aug 16, 2023 · This study explores the impact of using non-native speech data in acoustic model training for pronunciation assessment systems.
380, Disentangling the Contribution of Non-Native Speech in Automated Pronunciation Assessment, ➖, ISCA ; 337, A Joint Model for Pronunciation Assessment and ...
Aug 24, 2023 · Disentangling the Contribution of Non-native Speech in Automated Pronunciation Assessment ... Assessment of Non-Native Speech ...
Improving non-native word-level pronunciation scoring with phone-level mixup data augmentation and multi-source information. K Fu, S Gao, K Wang, W Li, X Tian, ...
However, no consensus has been reached regarding to what extent different pronunciation features contribute to the overall ratings of speaking assessment.
Fully automated speaking assessment: Changes to proficiency testing and the role of pronunciation. ... non-native speech. OASIS Summary of Isaacs, T ...
Jun 4, 2023 · This study explores the impact of using non-native speech data in acoustic model training for pronunciation assessment systems. The goal is to ...
Examination shows that the phone embeddings learned in the proposed approach are able to capture linguistic-acoustic attributes of native pronunciation as ...
Oct 21, 2023 · This paper addresses the former – focusing on pronunciation assessment, which aims to automat- ically score non-native speech-segment and give.
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