Innovative Automatic Discrimination Multimedia Documents for Indexing using Hybrid GMM-SVM Method

Abstract

In this paper, a new parameterization method sound discrimination of multimedia documents based on entropy phase is presented to facilitate indexing audio documents and speed up their searches in digital libraries or the retrieval of audio documents in the network, to detect speakers in purely judicial purposes and translate films into a specific language. There are four procedures of an indexing method are developed to solve these problems which are based on (parameterization, training, modeling and classification). In first step new temporal characteristics and descriptors are extracted. However, the GMM and SVM classifiers are associated with the other procedures. The MATLAB environment is the basis of the simulation of the proposed algorithm whose system performance is evaluated from a database consisting of music containing several segments of speech.

Authors and Affiliations

Debabi Turkia, Bousselmi Souha, Cherif Adnen

Keywords

Related Articles

Denoising CT Images using wavelet transform

Image denoising is one of the most significant tasks especially in medical image processing, where the original images are of poor quality due the noises and artifacts introduces by the acquisition systems. In this paper...

Core Levels Algorithm for Optimization: Case of Microwave Models

Metaheuristic algorithms are investigated and used by many researchers in different areas. It is crucial to find optimal solutions for all problems under study especially for the ones which require sensitive optimization...

Network Packet Classification using Neural Network based on Training Function and Hidden Layer Neuron Number Variation

Distributed denial of service (DDoS) is a structured network attack coming from various sources and fused to form a large packet stream. DDoS packet stream pattern behaves as normal packet stream pattern and very difficu...

Emotional Changes Detection for Dementia People with Spectrograms from Physiological Signals

Due to aging society, there has recently been an increasing percentage of people with serious cognitive decline and dementia around the world. Such patients often lose their diversity of facial expressions and even their...

Acoustic Emotion Recognition Using Linear and Nonlinear Cepstral Coefficients

Recognizing human emotions through vocal channel has gained increased attention recently. In this paper, we study how used features, and classifiers impact recognition accuracy of emotions present in speech. Four emotion...

Download PDF file
  • EP ID EP448778
  • DOI 10.14569/IJACSA.2019.0100136
  • Views 116
  • Downloads 0

How To Cite

Debabi Turkia, Bousselmi Souha, Cherif Adnen (2019). Innovative Automatic Discrimination Multimedia Documents for Indexing using Hybrid GMM-SVM Method. International Journal of Advanced Computer Science & Applications, 10(1), 274-279. https://europub.co.uk/articles/-A-448778