QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis

The overview architecture for QI-TTS


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.

In 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
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Haobin Tang
Haobin Tang
University of Science and Technology of China
Ning Cheng
Ning Cheng