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

@article{Eyben2016TheGM,
  title={The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing},
  author={Florian Eyben and Klaus R. Scherer and Bj{\"o}rn W. Schuller and Johan Sundberg and Elisabeth Andr{\'e} and Carlos Busso and Laurence Devillers and Julien Epps and Petri Laukka and Shrikanth Narayanan and Khiet P. Truong},
  journal={IEEE Transactions on Affective Computing},
  year={2016},
  volume={7},
  pages={190-202}
}
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… CONTINUE READING
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Recent developments in openSMILE, the munich open-source multimedia feature extractor

  • F. Eyben, F. Weninger, F. Gross, B. Schuller
  • Proc. of ACM MM 2013, Barcelona, Spain. New York…
  • 2013

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