Analyzing vowel variation in Korean dialects using phone recognition*

Author:

Lee Jooyoung,Kim Sunhee,Chung Minhwa

Funder

Ministry of Science ICT and Future Planning

Publisher

The Korean Society of Speech Sciences

Reference32 articles.

1. AI-Hub. (2021). AI-Hub senior spontaneous speech corpus. Retrieved from https://www.aihub.or.kr

2. Babu, A., Wang, C., Tjandra, A., Lakhotia, K., Xu, Q., Goyal, N., Singh, K., ... Auli, M. (2022, September). XLS-R: Self-supervised cross-lingual speech representation learning at scale. Proceedings of Interspeech 2022 (pp. 2278-2282). Incheon, Korea. 10.21437/Interspeech.2022-143

3. Bae, H. (2012). A study on the aspects of vowel ‘ㅟ’ change at Daegu. Korean Language and Literature Society, 116, 27-50.

4. 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.

5. Bisani, M., & Ney, H. (2008). Joint-sequence models for grapheme-to-phoneme conversion. Speech Communication, 50(5), 434-451. 10.1016/j.specom.2008.01.002

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