Classification and automatic transcription of primate calls

Maarten Versteegh; Jeremy Kuhn; Gabriel Synnaeve; Lucie Ravaux; Emmanuel Chemla; Cristiane Cäsar; James Fuller; Derek Murphy; Anne Schel; Ewan Dunbar

doi:10.1121/1.4954887

Classification and automatic transcription of primate calls

Maarten Versteegh
, Jeremy Kuhn
, Gabriel Synnaeve
, Lucie Ravaux
, Emmanuel Chemla
, Cristiane Cäsar
, James Fuller
, Derek Murphy
, Anne Schel
, Ewan Dunbar

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Article number	EL26
Journal	Journal of the Acoustical Society of America
Volume	140
Issue number	1
DOIs	https://doi.org/10.1121/1.4954887
Publication status	Published - Jul 2016

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title = "Classification and automatic transcription of primate calls",

abstract = "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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AU - Fuller, James

AU - Murphy, Derek

AU - Schel, Anne

AU - Dunbar, Ewan

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AB - 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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Classification and automatic transcription of primate calls

Abstract

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