The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

Eyben, Florian; Scherer, Klaus R.; Schuller, Björn W.; Sundberg, Johan; André, Elisabeth; Busso, Carlos; Devillers, Laurence; Epps, Julien; Laukka, Petri; Narayanan, Shrikanth; Truong, Khiet P.

doi:10.1109/taffc.2015.2457417

articleIEEE Transactions on Affective ComputingJul 16, 2015HYBRID OA

The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

FEFlorian Eyben KRKlaus R. Scherer BWBjörn W. Schuller JSJohan Sundberg EAElisabeth André

FORS – Swiss Centre of Expertise in the Social Sciences · Technical University of Munich · +12 more institutions

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Abstract

Work on voice sciences over recent decades has led to a proliferation of acoustic parameters that are used quite selectively and are not always extracted in a similar fashion. With many independent teams working in different research areas, shared standards become an essential safeguard to ensure compliance with state-of-the-art methods allowing appropriate comparison of results across studies and potential integration and combination of extraction and recognition systems. In this paper we propose a basic standard acoustic parameter set for various areas of automatic voice analysis, such as paralinguistic or clinical speech analysis. In contrast to a large brute-force parameter set, we present a minimalistic…

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Topics

Keywords

Computer science
Set (abstract data type)
Paralanguage
Baseline (sea)
Relation (database)
Implementation
Speech recognition
Feature (linguistics)

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