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Prosodic feature normalization for emotion recognition by using synthesized speech

Suzuki Motoyuki, Nakagawa Shohei, Kenji Kita

Year
2012
Citations
2

Abstract

Emotion recognition from speech signals is one of the most important technologies for natural conversation between humans and robots. Most emotion recognizers extract prosodic features from an input speech in order to use emotion recognition. However, prosodic features changes drastically depending on the uttered text.

Keywords

Normalization (sociology)Speech recognitionComputer scienceNatural language processingEmotion recognitionFeature (linguistics)Artificial intelligencePattern recognition (psychology)PsychologyLinguistics

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