Enhanced polynomial kernel (EPK)–based support vector machine (SVM) (EPK‐SVM) classification technique for speech recognition in hearing‐impaired listeners-Reference-Cited by-同舟云学术

Enhanced polynomial kernel (EPK)–based support vector machine (SVM) (EPK‐SVM) classification technique for speech recognition in hearing‐impaired listeners

Published:2019-03-18 Issue:3 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

S Pavithra¹^ORCID,S Janakiraman²

Affiliation:

1. Department of Computer Science and Engineering Chennai Institute of Technology Chennai India

2. Department of Banking Technology Pondicherry University Pondicherry India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5210

Reference29 articles.

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2. New approach in quantification of emotional intensity from the speech signal: emotional temperature

3. AmerMR SiddiquieB RicheyC DivakaranA.Emotion detection in speech using deep networks. Paper presented at: 2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP);2014;Florence Italy.

4. Recognition of emotions in Mexican Spanish speech: an approach based on acoustic modelling of emotion‐specific vowels;Caballero‐Morales SO;Scientific World Journal,2013

5. ChauhanA KoolagudiSG KafleySRaoKS.Emotion recognition using LP residual. In: Proceedings of the 2010 IEEE Students' Technology Symposium (TechSym);2010;Kharagpur India.

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