Speaker dependent emotion recognition using speech signals

@inproceedings{Kang2000SpeakerDE,
  title={Speaker dependent emotion recognition using speech signals},
  author={Bong-Seok Kang and Chul-Hee Han and Sang-Tae Lee and Dae Hee Youn and Chungyong Lee},
  booktitle={INTERSPEECH},
  year={2000}
}
This paper examines three algorithms to recognize speaker’s emotion using the speech signals. Target emotions are happiness, sadness, anger, fear, boredom and neutral state. MLB(Maximum-Likelihood Bayes), NN(Nearest Neighbor) and HMM(Hidden Markov Model) algorithms are used as the pattern matching techniques. In all cases, pitch and energy are used as the features. The feature vectors for MLB and NN are composed of pitch mean, pitch standard deviation, energy mean, energy standard deviation… CONTINUE READING
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