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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Biologically inspired emotion recognition from speech | Caponetti et al. EURASIP Journal on Advances in Signal Processing 2011 2011 24 http asp.eurasipjournals.eom content 2011 1 24 o EURASIP Journal on Advances in Signal Processing a SpringerOpen Journal RESEARCH Open Access Biologically inspired emotion recognition from speech Laura Caponetti 1 Cosimo Alessandro Buscicchio2 and Giovanna Castellano1 Abstract Emotion recognition has become a fundamental task in human-computer interaction systems. In this article we propose an emotion recognition approach based on biologically inspired methods. Specifically emotion classification is performed using a long short-term memory LSTM recurrent neural network which is able to recognize long-range dependencies between successive temporal patterns. We propose to represent data using features derived from two different models mel-frequency cepstral coefficients MFCC and the Lyon cochlear model. In the experimental phase results obtained from the LSTM network and the two different feature sets are compared showing that features derived from the Lyon cochlear model give better recognition results in comparison with those obtained with the traditional MFCC representation. 1. Introduction For many years human-computer interaction researchers focused their attention on the synthesis of audio-visual emotional expressions. Despite the great progress made in human-computer interaction most of the existing interfaces are unidirectional and unfriendly in the sense that they do not allow the computer to understand the emotional state of the user 1-3 . During the recent years many researchers have faced the problem of designing interfaces that are able to express and also to perceive emotions. This has introduced a specific research field known as Speech Emotion Recognition which is aimed to extract the emotional state of a speaker from his or her speech. Speech emotion recognition is useful for applications requiring natural man-machine interaction such as web movies and computer tutorial .
