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

QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis