دورية أكاديمية
Exploring task-diverse meta-learning on Tibetan multi-dialect speech recognition
| العنوان: | Exploring task-diverse meta-learning on Tibetan multi-dialect speech recognition |
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| المؤلفون: | Yigang Liu, Yue Zhao, Xiaona Xu, Liang Xu, Xubei Zhang, Qiang Ji |
| المصدر: | EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-8 (2024) |
| بيانات النشر: | SpringerOpen, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Acoustics. Sound LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Tibetan language, Multi-dialect speech recognition, Task-diverse meta-learning, Acoustics. Sound, QC221-246, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | Abstract The disparities in phonetics and corpuses across the three major dialects of Tibetan exacerbate the difficulty of a single task model for one dialect to accommodate other different dialects. To address this issue, this paper proposes task-diverse meta-learning. Our model can acquire more comprehensive and robust features, facilitating its adaptation to the variations among different dialects. This study uses Tibetan dialect ID recognition and Tibetan speaker recognition as the source tasks for meta-learning, which aims to augment the ability of the model to discriminate variations and differences among different dialects. Consequently, the model’s performance in Tibetan multi-dialect speech recognition tasks is enhanced. The experimental results show that task-diverse meta-learning leads to improved performance in Tibetan multi-dialect speech recognition. This demonstrates the effectiveness and applicability of task-diverse meta-learning, thereby contributing to the advancement of speech recognition techniques in multi-dialect environments. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1687-4722 |
| Relation: | https://doaj.org/toc/1687-4722 |
| DOI: | 10.1186/s13636-024-00361-7 |
| URL الوصول: | https://doaj.org/article/aca1be2657d9409b9fc2a5c900804861 |
| رقم الأكسشن: | edsdoj.1be2657d9409b9fc2a5c900804861 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 16874722 |
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| DOI: | 10.1186/s13636-024-00361-7 |