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arXiv · 2506.05688

Voice Impression Control in Zero-Shot TTS

Kenichi Fujita·Shota Horiguchi·Yusuke Ijima
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Abstract

Para-/non-linguistic information in speech is pivotal in shaping the listeners' impression. Although zero-shot text-to-speech (TTS) has achieved high speaker fidelity, modulating subtle para-/non-linguistic information to control perceived voice characteristics, i.e., impressions, remains challenging. We have therefore developed a voice impression control method in zero-shot TTS that utilizes a low-dimensional vector to represent the intensities of various voice impression pairs (e.g., dark-bright). The results of both objective and subjective evaluations have demonstrated our method's effectiveness in impression control. Furthermore, generating this vector via a large language model enables target-impression generation from a natural language description of the desired impression, thus eliminating the need for manual optimization. Audio examples are available on our demo page (https://ntt-hilab-gensp.github.io/is2025voiceimpression/).

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Kenichi Fujita, Shota Horiguchi, Yusuke Ijima. 2025-06-06. Voice Impression Control in Zero-Shot TTS. https://doi.org/10.21437/interspeech.2025-1192

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