Study on Method of Feature Selection in Speech Content Classification
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 4
Abstract
Information communication is developing rapidly now, Voice communication from a distance is more and more popular. In order to evaluate and classify the content correctly, the acoustic features is used to analyze first in this paper, Orthogonal experiment[1] method is used to find out characteristic of voice that has contribution to the speech content classification then make it and the textual characteristic together. The result of experiments shows that the feature combination of voice and content has better effect on voice content classification, the effectiveness has been improved.
Authors and Affiliations
Si An, Xinghua Fan
Keywords
Related Articles
- EP ID EP110357
- DOI 10.14569/IJACSA.2014.050412
- Views 116
- Downloads 0
M/M/1/n+Flush/n Model to Enhance the QoS for Cluster Heads in MANETs
Clustering in MANET is important to achieve scalability in presence of large networks and high mobility in order to maintain the Quality of Services (QoS) of the network. Improving the QoS is the most important and cruci...
Conceptual Level Design of Semi-structured Database System: Graph-semantic Based Approach
This paper has proposed a Graph – semantic based conceptual model for semi-structured database system, called GOOSSDM, to conceptualize the different facets of such system in object oriented paradigm. The model defines a...
Evaluation of the Performance of the University Information Systems: Case of Moroccan Universities
The purpose of this paper is to develop a conceptual model of university information systems performance measurement. To do this resorted to the choice of 3E-3P model. This model proposes a development under the spectrum...
Security Issues in Cloud Computing and their Solutions: A Review
Cloud computing is an internet-based, emerging technology, tends to be prevailing in our environment especially computer science and information technology fields which require network computing on large scale. Cloud com...
A High-Performing Similarity Measure for Categorical Dataset with SF-Tree Clustering Algorithm
Tasks such as clustering and classification assume the existence of a similarity measure to assess the similarity (or dissimilarity) of a pair of observations or clusters. The key difference between most clustering metho...