Multimodal Unsupervised Speech Translation for Recognizing and Evaluating Second Language Speech

Multimodal Unsupervised Speech Translation for Recognizing and Evaluating Second Language Speech

This paper addresses an automatic proficiency evaluation and speech recognition for second language (L2) speech. The proposed method recognizes the speech uttered by the L2 speaker, measures a variety of fluency scores, and evaluates the proficiency of the speaker’s spoken English. Stress and rhythm...

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Bibliographic Details
Main Authors: Yun Kyung Lee, Jeon Gue Park
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
fluency evaluation
speech recognition
data augmentation
variational autoencoder
speech conversion
Online Access:https://www.mdpi.com/2076-3417/11/6/2642

Internet

https://www.mdpi.com/2076-3417/11/6/2642

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