Heart rate monitoring using human speech spectral features
نویسندگان
چکیده
منابع مشابه
Classification of emotional speech using spectral pattern features
Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic Energy features (HEs) for emotion recognition. These features extracted from the spectrogram ...
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15 صفحه اولclassification of emotional speech using spectral pattern features
speech emotion recognition (ser) is a new and challenging research area with a wide range of applications in man-machine interactions. the aim of a ser system is to recognize human emotion by analyzing the acoustics of speech sound. in this study, we propose spectral pattern features (sps) and harmonic energy features (hes) for emotion recognition. these features extracted from the spectrogram ...
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ژورنال
عنوان ژورنال: Human-centric Computing and Information Sciences
سال: 2015
ISSN: 2192-1962
DOI: 10.1186/s13673-015-0052-z