The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Emotion Recognition Using Tone and Tempo Based on Voice for IoT

IoT를 위한 음성신호 기반의 톤, 템포 특징벡터를 이용한 감정인식

  • Received : 2015.10.21
  • Accepted : 2015.12.24
  • Published : 2016.01.01
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Abstract

In Internet of things (IoT) area, researches on recognizing human emotion are increasing recently. Generally, multi-modal features like facial images, bio-signals and voice signals are used for the emotion recognition. Among the multi-modal features, voice signals are the most convenient for acquisition. This paper proposes an emotion recognition method using tone and tempo based on voice. For this, we make voice databases from broadcasting media contents. Emotion recognition tests are carried out by extracted tone and tempo features from the voice databases. The result shows noticeable improvement of accuracy in comparison to conventional methods using only pitch.

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References

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