A New Approach to Voice Authenticity

Authors

Publication Details

Published
2024-09-01
DOI
https://doi.org/10.21437/interspeech.2024-31
Citations
7
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
2.43

Funders

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article

A New Approach to Voice Authenticity

Philip Sperl, Piotr Kawa, Shen Hu, Nicolas M. Müller et al.
7 citations
Speech Recognition and Synthesis
2.43
article

A New Approach to Voice Authenticity

Philip Sperl, Piotr Kawa, Shen Hu, Nicolas M. Müller, Konstantin Böttinger, Matthias Neu, Jennifer Williams
article en
7 citations

Abstract

No abstract available for this paper.
Bayerische Staatsministerium für Wirtschaft, Landesentwicklung und Energie, Department of Artificial Intelligence, Korea University
Openalex Percentile: Top 10%
Speech Recognition and Synthesis
2.43
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A New Approach to Voice Authenticity — Philip Sperl, Piotr Kawa, et al. · (2024) | TGRS Research Map | TGRS