Combining Speech and Gender Classification for Effective Emotion Recognition
نویسندگان
چکیده
منابع مشابه
Combining Speech and Gender Classification for Effective Emotion Recognition
The applications of emotion recognition in consumer electronics are increasing day by day. However the accuracy and stability of the decisions made by appliances largely depends on the efficient recognition of these emotions. The performance may degrade drastically due to interfering noise. This paper proposes a method which may improve the accuracy significantly. Results have confirmed that th...
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We introduce a novel emotion recognition approach which integrates ranking models. The approach is speaker independent, yet it is designed to exploit information from utterances from the same speaker in the test set before making predictions. It achieves much higher precision in identifying emotional utterances than a conventional SVM classifier. Furthermore we test several possibilities for co...
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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...
متن کاملImproving Automatic Emotion Recognition from Speech via Gender Differentiaion
Feature extraction is still a disputed issue for the recognition of emotions from speech. Differences in features for male and female speakers are a well-known problem and it is established that gender-dependent emotion recognizers perform better than gender-independent ones. We propose a way to improve the discriminative quality of gender-dependent features: The emotion recognition system is p...
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To date, little research has been done in emotion classification and recognition in speech. Therefore, there is a need to discuss why this topic is interesting and present a system for classifying and recognizing emotions through speech using neural networks through this article. The proposed system will be speaker independent since a database of speech samples will be used. Various classifiers...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/10621-5341