Comparison between k-nn and svm method for speech emotion recognition

Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 2

Abstract

Human - Computer intelligent interaction (HCII) is an emerging field of science aimed at providing natural ways for humans to use computer as aids. Machine intelligence needs to include emotional intelligence it is argued that for the computer to be able to interact with humans, it needs to have the communication skills of human. One of these skills is the ability to understand the emotional state of the person. Two recognition methods namely K-Nearest Neighbor (K-NN) and Support vector machine (SVM) classifier have been experimented and compared. The paper explores the simplicity and effectiveness of SVM classifier for designing the real-time emotion recognition system.

Authors and Affiliations

Muzaffar Khan , Tirupati Goskula , Mohmmed Nasiruddin , Ruhina Quazi

Keywords

Related Articles

SSL-MAP: A More Secure Gossamer-based Mutual Authentication Protocol for Passive RFID Tags

Abstract— RFID systems that employ passive RFID tags, are run using lightweight protocols. The Gossamer protocol is a case in point. However, it is found that the Gossamer protocol uses rather simple operations, in order...

SOFTWARE ARCHITECTURE BASED REGRESSION TESTING

Software architecture plays a significant role in development of a dependable system. The purpose of regression testing is to make the system fault tolerant. The amalgamation of these two, results in the development of a...

Security of Data Fragmentation and Replication over Un-trusted Hosts Arun Kumar Yadav, Dr. Ajay Agarwal

Data replication technique is used to avoid the fault tolerance and improve the performance .With this initiation of content delivery networks, it is becoming more and more frequent that data content is placed on hosts t...

Improved Optimal Competitive Hopfield Network for the Maximum Stable Set Problem

A large number of problems in artificial intelligence and other areas of computer science can be viewed as special cases of the Maximum Stable Set Problem (MSSP). In this paper, we propose a new approach to solve the MSS...

Generation of a pool of variable size symmetric keys through Image

This paper introduces a new concept of the generation of a unending pool of keys through an image leaving behind the idea of sending keys every time for encryption and decryption. This can help in avoiding the problem of...

Download PDF file
  • EP ID EP124267
  • DOI -
  • Views 114
  • Downloads 0

How To Cite

Muzaffar Khan, Tirupati Goskula, Mohmmed Nasiruddin, Ruhina Quazi (2011). Comparison between k-nn and svm method for speech emotion recognition. International Journal on Computer Science and Engineering, 3(2), 607-611. https://europub.co.uk./articles/-A-124267