speech-7

Voice Similarity

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

M. Ponti, Edresson Casanova, C. Shulby, Julian Weber, Arnaldo Cândido Júnior, Eren Gölge•Fri Dec 03 2021

The YourTTS model builds upon the VITS model and adds several novel modifications for zero-shot multi-speaker and multilingual training, achieving state-of-the-art (SOTA) results in zero- shot multi- Speaker TTS and results comparable to SOTA in zero -shot voice conversion on the VCTK dataset.

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Speech Pseudonymisation Assessment Using Voice Similarity Matrices

A. Nautsch, N. Evans, N. Tomashenko, Paul-Gauthier Noé, J. Bonastre, D. Matrouf•Sat Aug 29 2020

This paper proposes the first intuitive visualisation of pseudonymisation performance for speech signals and two novel metrics for objective assessment that reflect the two, key pseudonymisation requirements of de-identification and voice distinctiveness.

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Singer Identity Representation Learning Using Self-Supervised Techniques

Bernardo Torres, S. Lattner, G. Richard•Tue Jan 09 2024

This work proposes a framework for training singer identity encoders to extract representations suitable for various singing-related tasks, such as singing voice similarity and synthesis, and evaluates the quality of the resulting representations on singer similarity and identification tasks across multiple datasets.

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