Scalable Direction-Following TTS via Voice Impression-Guided Pseudo Triplet Construction
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Computer Science > Sound
arXiv:2609.02623 (cs)
[Submitted on 2 Sep 2026]
Title:Scalable Direction-Following TTS via Voice Impression-Guided Pseudo Triplet Construction
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Abstract:Voice actors often re-read the same script while modifying their delivery in response to performance directions. We study this setting as direction-following TTS, where a system generates a new utterance that reflects a given direction relative to a reference utterance while preserving speaker identity and linguistic content. A key challenge is the lack of training data capturing such relative modifications. To address this, we propose a scalable pseudo-triplet construction pipeline that generates~(reference utterance, direction text, modified utterance) triplets. It generates controlled style variations using an impression-controllable TTS model and uses an LLM to produce natural language directions from estimated impression differences. Experimental results demonstrate that pseudo-triplets alone enable stable speaker-preserving modification, and that combining pseudo and recorded data further improves direction alignment while maintaining speaker similarity. Audio examples are available on our demo page this https URL
| Comments: | 5 pages,4 figures, Accepted to INTERSPEECH 2026 |
| Subjects: | Sound (cs.SD); Computation and Language (cs.CL); Machine Learning (cs.LG) |
| Cite as: | arXiv:2609.02623 [cs.SD] |
| (or arXiv:2609.02623v1 [cs.SD] for this version) | |
| https://doi.org/10.48550/arXiv.2609.02623
arXiv-issued DOI via DataCite (pending registration)
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View a PDF of the paper titled Scalable Direction-Following TTS via Voice Impression-Guided Pseudo Triplet Construction, by Kenichi Fujita and 1 other authors
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