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Classification and automatic transcription of primate calls
Author(s) -
Maarten Versteegh,
Jeremy Kuhn,
Gabriel Synnaeve,
Lucie Ravaux,
Emmanuel Chemla,
Cristiane Cäsar,
James L. Fuller,
Derek Murphy,
Anne Marijke Schel,
Ewan Dunbar
Publication year - 2016
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.4954887
Subject(s) - computer science , transcription (linguistics) , primate , speech recognition , field (mathematics) , selection (genetic algorithm) , acoustics , artificial intelligence , biology , neuroscience , mathematics , physics , philosophy , linguistics , pure mathematics
This paper reports on an automated and openly available tool for automatic acoustic analysis and transcription of primate calls, which takes raw field recordings and outputs call labels time-aligned with the audio. The system's output predicts a majority of the start times of calls accurately within 200 milliseconds. The tools do not require any manual acoustic analysis or selection of spectral features by the researcher.

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