Please check whether this paper is about 'Voice Conversion' or not.
article info.
title: Rhythm Modeling for Voice Conversion
summary: Voice conversion aims to transform source speech into a different target
voice. However, typical voice conversion systems do not account for rhythm,
which is an important factor in the perception of speaker identity. To bridge
this gap, we introduce Urhythmic-an unsupervised method for rhythm conversion
that does not require parallel data or text transcriptions. Using
self-supervised representations, we first divide source audio into segments
approximating sonorants, obstruents, and silences. Then we model rhythm by
estimating speaking rate or the duration distribution of each segment type.
Finally, we match the target speaking rate or rhythm by time-stretching the
speech segments. Experiments show that Urhythmic outperforms existing
unsupervised methods in terms of quality and prosody. Code and checkpoints:
https://github.com/bshall/urhythmic. Audio demo page:
https://ubisoft-laforge.github.io/speech/urhythmic.
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Please check whether this paper is about 'Voice Conversion' or not.
article info.
title: Rhythm Modeling for Voice Conversion
summary: Voice conversion aims to transform source speech into a different target voice. However, typical voice conversion systems do not account for rhythm, which is an important factor in the perception of speaker identity. To bridge this gap, we introduce Urhythmic-an unsupervised method for rhythm conversion that does not require parallel data or text transcriptions. Using self-supervised representations, we first divide source audio into segments approximating sonorants, obstruents, and silences. Then we model rhythm by estimating speaking rate or the duration distribution of each segment type. Finally, we match the target speaking rate or rhythm by time-stretching the speech segments. Experiments show that Urhythmic outperforms existing unsupervised methods in terms of quality and prosody. Code and checkpoints: https://github.com/bshall/urhythmic. Audio demo page: https://ubisoft-laforge.github.io/speech/urhythmic.
id: http://arxiv.org/abs/2307.06040v1
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