Approaching Automatic Recognition of Emotion from Voice : a Rough Benchmark

@inproceedings{McGilloway2000ApproachingAR,
  title={Approaching Automatic Recognition of Emotion from Voice : a Rough Benchmark},
  author={Sinead McGilloway and Roddy Cowie and Ellen Douglas-Cowie and Stan C. A. M. Gielen and Machiel Westerdijk and Sybert H. Stroeve},
  year={2000}
}
Automatic recognition of a speaker’s emotions is a natural objective for research, but is difficult to gauge the level of performance that is currently attainable. We describe a study that offers a rough benchmark. Speech data came from five passages of about 100 syllables each. They had been selected following pilot studies because they were effective at evoking specific emotion fear, anger, happiness, sadness, and neutrality. 40 subjects were recorded reading them. A battery of 32 potentially… CONTINUE READING
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