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Emotion Recognition using combination of MFCC and LPCC with Supply Vector Machine
Speech is a medium through which emotions are expressed by human being. In this paper, a mixture of MFCC and LPCC has been proposed for audio feature extraction. One of the greatest advantage of MFCCExpand
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Multimedia based Information Retrieval Approach based on ASR and OCR and Video Recommendation System
TLDR
This paper presents an approach for content based retrieval of relevant information based on the content of the video. Expand
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A Survey on: Sound Source Separation Methods
now a day’s multimedia databases are growing rapidly on large scale. For the effective management and exploration of large amount of music data the technology of singer identification is developed.Expand
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Segmentation of Singing Voice and Musical Accompaniment in Audio Mixture Signal
we propose a system to separates singing voice from music accompaniment for monaural recordings to improve the performance of singer identification. Our system consists of two stages. The first stageExpand
Government Policies Search using Marathi Speech Recognition System- Based on MFCC with Gammatone Filter
Speech is a natural mode of communication for people. Yet people are so comfortable with verbal skills rather than writing. Today’s digital world needs to interact with the computers via speech whichExpand
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Study of Supply Vector Machine (SVM) for Emotion Recognition
Volume 4, Issue 3, May – June 2015 Page 91 Abstract This paper is mainly concerned with Speech Emotion Recognition. The main work is concerned with Supply Vector Machine (SVM) that allows trainingExpand
Multimedia Information Retrieval for Lecture Video using Automatic Speech Recognition and Optical Character Recognition
Now-a-days increased development in multimedia technology allows the capturing and storing of video data with highly expensive computers. Users are not satisfied with video retrieval systemsExpand