Extraction of Prosodic Features to Automatically Recognize Tamil Dialects

10 Pages Posted: 9 Mar 2018

See all articles by T Naveena

T Naveena

Sona College of Technology, Department of Computer Science and Engineering, Students

K.C. Rajeswari

Sona College of Technology

Date Written: November 15, 2017

Abstract

In speech processing applications, there is a great demand for recognizing the speech correctly. Automatic Dialect Identification has attracted researchers in the field of speech signal processing. Speaker’s phonemes, pronunciation, and traits such as tonality, loudness and nasality can be recognized with the help of Dialects. Dialect can be defined as the language characteristics of a specific community. Prosodic features are features that appear, when the sounds are put together in connected speech. Now a day’s prosodic features are used in most emotion recognition algorithms. Prosodic features are relatively simple in their structures and known for their effectiveness in some recognition tasks. This paper proposes a language model to identify these parameters and then to recognize the regional speaker dialects to identify the speaker using various feature extraction techniques for Tamil language.

Keywords: Prosody, Intonation, MFCC-LPCC, PLP, RASTA, HMM

Suggested Citation

Naveena, T and Rajeswari, K.C., Extraction of Prosodic Features to Automatically Recognize Tamil Dialects (November 15, 2017). Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017 – Dec 15th - 16th 2017) organized by Sona College of Technology, Salem, Tamilnadu, India, Available at SSRN: https://ssrn.com/abstract=3134283 or http://dx.doi.org/10.2139/ssrn.3134283

T Naveena (Contact Author)

Sona College of Technology, Department of Computer Science and Engineering, Students ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

K.C. Rajeswari

Sona College of Technology ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

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