Class-level spectral features for emotion recognition
نویسندگان
چکیده
منابع مشابه
Class-level spectral features for emotion recognition
The most common approaches to automatic emotion recognition rely on utterance level prosodic features. Recent studies have shown that utterance level statistics of segmental spectral features also contain rich information about expressivity and emotion. In our work we introduce a more fine-grained yet robust set of spectral features: statistics of Mel-Frequency Cepstral Coefficients computed ov...
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Traditional approaches to automatic emotion recognition from speech typically make use of utterance level prosodic features. Still, a great deal of useful information about expressivity and emotion can be gained from segmental spectral features, which provide a more detailed description of the speech signal, or from measurements from specific regions of the utterance, such as the stressed vowel...
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ژورنال
عنوان ژورنال: Speech Communication
سال: 2010
ISSN: 0167-6393
DOI: 10.1016/j.specom.2010.02.010