3 papers
eess.AS2026
SSL-GMMVC: Interpretable Voice Conversion via Locally Linear GMM Transforms in Self-Supervised Representation Space
Tomoya Tanabu, Hiroshi Nishijima, Daisuke Saito +1
We introduce SSL-GMMVC, an interpretable voice conversion method in self-supervised speech space. The method models paired source-target features with a Gaussian mixture model and…
cs.SD2026
Leveraging Soft Distributions of SSL-Derived Discrete Speech Tokens for Downstream Inference
Kentaro Onda, Satoru Fukayama, Daisuke Saito +1
Discrete speech tokens obtained from self-supervised learning (SSL) models provide efficient data compression while maintaining strong performance, and have been widely used as int…
cs.SD2024
A Pilot Study of Applying Sequence-to-Sequence Voice Conversion to Evaluate the Intelligibility of L2 Speech Using a Native Speaker's Shadowings
Haopeng Geng, Daisuke Saito, Nobuaki Minematsu
Utterances by L2 speakers can be unintelligible due to mispronunciation and improper prosody. In computer-aided language learning systems, textual feedback is often provided using…