A Study on Fine-Tuning wav2vec2.0 Model for the Task of Mispronunciation Detection and Diagnosis

Author:

Peng Linkai,Fu Kaiqi,Lin Binghuai,Ke Dengfeng,Zhan Jinsong

Publisher

ISCA

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Extending speech emotion recognition systems to non-prototypical emotions using mixed-emotion model;Expert Systems with Applications;2024-09

2. Automatic speech recognition (ASR) for the diagnosis of pronunciation of speech sound disorders in Korean children;Clinical Linguistics & Phonetics;2024-08-20

3. A Study of Mispronunciation Detection and Diagnosis Based on Meta-Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Mispronunciation detection and diagnosis using deep neural networks: a systematic review;Multimedia Tools and Applications;2024-01-09

5. Gradformer: A Framework for Multi-Aspect Multi-Granularity Pronunciation Assessment;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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