Speech recognition model design for Sundanese language using WAV2VEC 2.0

Author:

Cryssiover AlbertORCID,Zahra Amalia

Publisher

Springer Science and Business Media LLC

Reference21 articles.

1. Aditya, R., Muid, A., & Ristian, U. (2020). Tempat Sampah Otomatis speech recognition Menggunakan Pocketsphinx. Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer., 15(1), 39–46.

2. Andriana, A., Olly V., Riyanto S., Ganjar T., & Zulkarnain. (2016). Speech recognition Sebagai Fungsi Mouse Untuk Membantu Pengguna Komputer Dengan Keterbatasan Khusus. Seminar Nasional Sains dan Teknologi. 1–7.

3. Baevski, A., Zhou, Y., Mohamed, A., & Auli, M. (2020). wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in Neural Information Processing Systems, 33, 12449–12460.

4. Balestriero, R., Ibrahim, M., Sobal, V., Morcos, A., Shekhar, S., Goldstein, T., & Goldblum, M. (2023). A cookbook of self-supervised learning. arXiv.org. arXiv:2304.12210

5. Becerra, H., Ragano, A., & Hines, A. (2022). Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction. https://doi.org/10.21437/interspeech.2022-10766

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