Recognizing emotions in speech using short-term and long-term features

@inproceedings{Li1998RecognizingEI,
  title={Recognizing emotions in speech using short-term and long-term features},
  author={Yang Li and Yunxin Zhao},
  booktitle={ICSLP},
  year={1998}
}
The acoustic characteristics of speech are influenced by speakers’ emotional status. In this study, we attempted to recognize the emotional status of individual speakers by using speech features that were extracted from short-time analysis frames as well as speech features that represented entire utterances. Principal component analysis was used to analyze the importance of individual features in representing emotional categories. Three classification methods including vector quantization… CONTINUE READING
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