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Revisiting IPA-based Cross-lingual Text-to-speech

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arxiv 2110.07187 v2 pith:CP75ZZJA submitted 2021-10-14 cs.CL cs.SDeess.AS

Revisiting IPA-based Cross-lingual Text-to-speech

Haitong Zhang , Haoyue Zhan , Yang Zhang , Xinyuan Yu , Yue Lin This is my paper
classification cs.CL cs.SDeess.AS
keywords cross-lingualbeendatasetipa-basedperformancespeakerspeakerstext-to-speech
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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International Phonetic Alphabet (IPA) has been widely used in cross-lingual text-to-speech (TTS) to achieve cross-lingual voice cloning (CL VC). However, IPA itself has been understudied in cross-lingual TTS. In this paper, we report some empirical findings of building a cross-lingual TTS model using IPA as inputs. Experiments show that the way to process the IPA and suprasegmental sequence has a negligible impact on the CL VC performance. Furthermore, we find that using a dataset including one speaker per language to build an IPA-based TTS system would fail CL VC since the language-unique IPA and tone/stress symbols could leak the speaker information. In addition, we experiment with different combinations of speakers in the training dataset to further investigate the effect of the number of speakers on the CL VC performance.

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