Speech emotion recognition based on brain and mind emotional learning model
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 Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concat...
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In this contribution we introduce speech emotion recognition by use of continuous hidden Markov models. Two methods are propagated and compared throughout the paper. Within the first method a global statistics framework of an utterance is classified by Gaussian mixture models using derived features of the raw pitch and energy contour of the speech signal. A second method introduces increased te...
متن کاملRecognition of Emotional Speech and Speech Emotion in Farsi
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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Emotion is one of the important factors that cause the system performance degradation. By analyzing the similarity between channel effect and emotion effect on speaker recognition, an emotion compensation method called emotion attribute projection (EAP) is proposed to alleviate the intraspeaker emotion variability. The use of this method has achieved an equal error rate (EER) reduction of 11.7%...
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ژورنال
عنوان ژورنال: Journal of Integrative Neuroscience
سال: 2018
ISSN: 1757-448X,0219-6352
DOI: 10.3233/jin-180088