Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures

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Published
2024-09-01
DOI
https://doi.org/10.21437/interspeech.2024-1096
Citations
4
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
1.39

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article

Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures

Ricard Marxer, Dena J. Clink, Abdul Hamid Ahmad, Benoît Favre et al.
4 citations
Speech Recognition and Synthesis
1.39
article

Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures

Ricard Marxer, Dena J. Clink, Abdul Hamid Ahmad, Benoît Favre, Arnaud Rey, Jules Cauzinille
article en
4 citations

Abstract

No abstract available for this paper.
Centre National de la Recherche Scientifique (FR), Universiti of Malaysia Sabah (MY), Cornell University (US), Aix-Marseille Université (FR), Laboratoire d’Informatique et Systèmes (FR), Laboratoire de Neurosciences Cognitives (FR), Cornell Lab of Ornithology
Agence Nationale de la Recherche
Openalex Percentile: Top 16%
Speech Recognition and Synthesis
1.39
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