Abstract

Speech recognition is widely used in the computer science to make well-organized communication between humans and computers. This paper addresses the problem of speech recognition for Varhadi, the regional language of the state of Maharashtra in India. Varhadi is widely spoken in Maharashtra state especially in Vidharbh region. Viterbi algorithm is used to recognize unknown words using Hidden Markov Model (HMM). The dataset is developed to train the system consists of 83 isolated Varhadi words. A Mel frequency cepstral coefficient (MFCCs) is used as feature extraction to perform the acoustical analysis of speech signal. Word model is implemented in speaker independent mode for the proposed varhadi automatic speech recognition system (V-ASR). The training and test dataset consist of isolated words uttered by 8 native speakers of Varhadi language. The V-ASR system has recognized the Varhadi words satisfactorily with 92.77%. recognition performance.

Highlights

  • Speech signal is the most important way to make efficient communication between humans and computers

  • Gandhe et al [19] have reported isolated word recognition system for Marathi language that combines features extracted by the Mel frequency cepstral coefficient (MFCCs) and DTW techniques for online and offline speakers

  • The literatures in the field of speech recognition have reported the use of feature extraction techniques such as LPC, Perceptual Linear Predictive (PLP), LPCC and MFCC etc. for speech recognition

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Summary

INTRODUCTION

Speech signal is the most important way to make efficient communication between humans and computers. Very few researches is reported related to Varhadi dialect of the Marathi language [1]. The field of speech recognition has achieved tremendous progress for European languages as compared to Indian regional languages. Varhadi is a spoken language of Vidharbha region. Vidharbha is the eastern region of the Indian state of Maharashtra; it constitutes Nagpur, Amravati and Akola division. This work is an effort for every semi-literate person in Maharashtra which will help them to communicate with computer in their regional language. For Indian regional spoken languages work is not yet reached to apprehensive level [4]. There is wider scope to develop speech recognition system for Varhadi dialect of Marathi languages.

RELATED WORK
ISOLATED VARHADI SPOKEN WORD RECOGNITION USING MFCC AND HTK
Features Extraction
DATA COLLECTION FOR VARHADI LANGUAGE
ACOUSTICAL MODEL AND TASK GRAMMAR
RESULT
CONCLUSION AND FUTURE WORK
Findings
25. Nicolas
Full Text
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