Innovative Automatic Discrimination Multimedia Documents for Indexing using Hybrid GMM-SVM Method
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 1
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
- EP ID EP448778
- DOI 10.14569/IJACSA.2019.0100136
- Views 100
- Downloads 0
Developing A Model to Predict the Occurrence of the Cardio-Cerebrovascular Disease for the Korean Elderly using the Random Forests Algorithm
This study aimed to develop a model for predicting the cardio-cerebrovascular disease of the South Korean elderly using the random forests technique. This study analyzed 2,111 respondents (879 males and 1,232 females), w...
Grid Color Moment Features in Glaucoma Classification
Automated diagnosis of glaucoma disease is focused on the analysis of the retinal images to localize, perceive and evaluate the optic disc. Clinical decision support system (CDSS) is used for glaucoma classification in h...
Achieving High Privacy Protection in Location-based Recommendation Systems
In recent years, privacy has become great attention in the research community. In Location-based Recommendation Systems (LbRSs), the user is constrained to build queries depend on his actual position to search for the cl...
Design and Development of AlgoWBIs
AlgoWBIs has been developed to support algorithm learning. The goal to develop this tool is to empower educators and learners with an interactive learning tool to improving algorithm’s skills. The paper focuses on how to...
Reliable and Energy Efficient MAC Mechanism for Patient Monitoring in Hospitals
In medical body area network (MBAN) sensors are attached to a patient’s body for continuous and real-time monitoring of biomedical vital signs. Sensors send patient’s data to hospital base station so that doctors/caregiv...