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arXiv · 2110.03609

Applying Phonological Features in Multilingual Text-To-Speech

Cong Zhang·Huinan Zeng·Huang Liu·Jiewen Zheng
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Abstract

This study investigates whether phonological features can be applied in text-to-speech systems to generate native and non-native speech in English and Mandarin. We present a mapping of ARPABET/pinyin to SAMPA/SAMPA-SC and then to phonological features. We tested whether this mapping could lead to the successful generation of native, non-native, and code-switched speech in the two languages. We ran two experiments, one with a small dataset and one with a larger dataset. The results proved that phonological features could be used as a feasible input system, although further investigation is needed to improve model performance. The accented output generated by the TTS models also helps with understanding human second language acquisition processes.

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BibTeXRIS

Cong Zhang, Huinan Zeng, Huang Liu, Jiewen Zheng. 2021-10-07. Applying Phonological Features in Multilingual Text-To-Speech. https://arxiv.org/abs/2110.03609

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