DocumentCode :
3705079
Title :
Feature analysis for mispronounced phonemes in the case of alvoelar approximant (/r/) substituted with voiced dental consonant (/?/)
Author :
Pravin B. Ramteke;Shashidhar G. Koolagudi;Arun Prabhakar
Author_Institution :
Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India
fYear :
2015
Firstpage :
132
Lastpage :
137
Abstract :
Mispronunciation is commonly observed in children from age 2 to 8 years. Some of the common mispronunciations are stopping, fronting, backing and affrication. These processes are known as phonological processes. Identification of these processes is crucial in studying the vocal tract development pattern and treating the phonological disorders in children. The features that clearly discriminate correctly pronounced phoneme from corresponding mispronounced phoneme have to be compared to identify the phonological processes. This paper focuses on the analysis of mispronounced alveolar approximant (/r/) substituted with voiced fricative consonant (/∂/). In this work, spectral and pitch related features are considered for the analysis using scatter plots and histograms. From the analysis, it is observed that the energy feature against 2nd and 4th cepstral coefficients achieves 75% and 65% discrimination respectively.
Keywords :
"Speech","Feature extraction","Mel frequency cepstral coefficient","Speech recognition","Hidden Markov models","Adaptation models"
Publisher :
ieee
Conference_Titel :
Contemporary Computing (IC3), 2015 Eighth International Conference on
Print_ISBN :
978-1-4673-7947-2
Type :
conf
DOI :
10.1109/IC3.2015.7346667
Filename :
7346667
Link To Document :
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