Extraction of Prosodic Features to Automatically Recognize Tamil Dialects
10 Pages Posted: 9 Mar 2018
Date Written: November 15, 2017
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
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