A COMPATIVE STUDY OF SILENCE AND NON SILENCE REGIONS OF SPEECH SIGNAL USING PROSODY FEATURES FOR EMOTION RECOGNITION
Journal Title: Indian Journal of Computer Science and Engineering - Year 2016, Vol 7, Issue 4
Abstract
The objective of this work is the comparative study of the speech signal between the silence and non- silence regions of the speech signal. In this work our main goal is to observe the pitch contour, energy and duration are time-varying and also study how these changes play an important role in emotion recognition. An important step in emotion recognition from speech is to select significant features which carry large emotional information about the speech signal. It was given that emotion recognition from speech has different types of features, among them is prosody, spectral and acoustic features. Sometimes prosody features are called supra-segmental features. It deals with the auditory qualities of the sound and it can also reflect aspects of meaning, intention and emotional state of the characters [1] [2].Prosody Feature consists of more pitch information which is used in identifying the emotion such as Pitch, Energy, and Duration. In this work we also explored the importance of the speech signal which doesn’t have silence regions and how the signal varies due to of pitch contour, energy, duration values, to analyze their contribution towards the recognition of emotion. The main intention of this work was to utilize the speech properly by means of actual speech content, i.e., with no other silence parts or unnecessary parts of the signal.
Authors and Affiliations
J. Naga Padmaja , R. Rajeswara Rao
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