Assessment of spontaneous emotional speech database toward emotion recognition: Intensity and similarity of perceived emotion from spontaneously expressed emotional speech
نویسندگان
چکیده
منابع مشابه
emotional speech recognition and emotion identification in farsi language
speech emotion can add more information to speech in comparison to available textual information. however, it will also lead to some problems in speech recognition process. in a previous study, we depicted the substantial changes of speech parameters caused by speech emotion. therefore, in order to improve emotional speech recognition rate, in a first step, the effects of emotion on speech par...
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Speech emotion can add extra information to speech in comparison with available textual information. However, it can also lead to some problems in the automatic speech recognition process. We evaluated the changes in speech parameters, i.e. formant frequencies and pitch frequency, due to anger and grief for Farsi language in a former research. Here, using those results, we try to improve emotio...
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Facial expressions and characteristics of speech are exploited intuitively by humans to infer the emotional status of their partners in communication. This paper investigates ways to extract emotion from spontaneous speech, aiming at transferring emotions to appropriate facial expressions of the speaker’s virtual representatives. Hence, this paper presents one step towards an emotional speechdr...
متن کاملEmotion Recognition in Spontaneous Speech
Automatic detection of emotions has been evaluated using standard Mel-frequency Cepstral Coefficients, MFCCs, and a variant, MFCC-low, that is calculated between 20 and 300 Hz in order to model pitch. Plain pitch features have been used as well. These acoustic features have all been modeled by Gaussian mixture models, GMMs, on the frame level. The method has been tested on two different corpora...
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Abstract Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...
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ژورنال
عنوان ژورنال: Acoustical Science and Technology
سال: 2011
ISSN: 1346-3969,1347-5177
DOI: 10.1250/ast.32.26