Title :
Devnagari Phoneme Recognition System
Author :
Patil, Priyanka Pratapsinh ; Pardeshi, Sanjay A.
Author_Institution :
Electron. & Telecommun. Dept, Rajarambapu Inst. of Technol., Islampur, India
Abstract :
Devnagari (Marathi) is an Indo-Aryan language and has a number of speakers all around the world. Marathi language has gained acceptability in the media & communication and therefore deserves to have a place in the growing field of automatic speech recognition. This manuscript describes the automatic speech recognition system that recognizes Marathi phoneme using Continuous Density Hidden Markov Model (CDHMM). It implements the Mel-frequency cepstral coefficients (MFCC) for feature extraction. Baum Welch algorithm is used for re-estimating the parameters. Finally, the Viterbi algorithm is used to recognize the phoneme. Experimental results are also discussed in this paper.
Keywords :
feature extraction; hidden Markov models; natural language processing; speech recognition; Baum Welch algorithm; CDHMM; Devnagari phoneme recognition system; Indo-Aryan language; MFCC; Marathi language; Marathi phoneme recognition; Mel-frequency cepstral coefficients; Viterbi algorithm; automatic speech recognition system; continuous density hidden Markov model; feature extraction; Accuracy; Feature extraction; Hidden Markov models; Mathematical model; Mel frequency cepstral coefficient; Speech; Speech recognition; Acoustic Model; Continuous Density Hidden Markov Model(CDHMM); Discrete Cosine Transform(DCT); Fast Fourier Transform(FFT); Mel-frequency Cepstral Coefficient(MFCC);
Conference_Titel :
Advances in Computing and Communications (ICACC), 2014 Fourth International Conference on
Conference_Location :
Cochin
Print_ISBN :
978-1-4799-4364-7
DOI :
10.1109/ICACC.2014.92
