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arXiv · 2303.07682

QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis

Haobin Tang·Xulong Zhang·Jianzong Wang·Ning Cheng·Jing Xiao
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Abstract

Recent expressive text to speech (TTS) models focus on synthesizing emotional speech, but some fine-grained styles such as intonation are neglected. In this paper, we propose QI-TTS which aims to better transfer and control intonation to further deliver the speaker's questioning intention while transferring emotion from reference speech. We propose a multi-style extractor to extract style embedding from two different levels. While the sentence level represents emotion, the final syllable level represents intonation. For fine-grained intonation control, we use relative attributes to represent intonation intensity at the syllable level.Experiments have validated the effectiveness of QI-TTS for improving intonation expressiveness in emotional speech synthesis.

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Haobin Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao. 2023-03-14. QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis. https://arxiv.org/abs/2303.07682

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