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ABSTRACT
Automated Speech Recognition (ASR) is the ability of a machine or program to recognize the voice commands or take dictation which involves the ability to match a voice pattern against an already stored vocabulary. At present, mainly speech recognizers based on Hidden Markov Model (HMMs) are used. This paper's aim is to provide a speech recognition system for Telugu language using Hidden Markov Model Toolkit (HTK). It recognizes the isolated words using acoustic word model. The system is trained for 113 Telugu words. Training data has been collected from nine speakers. The experimental results show that the overall accuracy of the presented system with 10 states in HMM topology is 96.64 and 95.46%.
KEYWORDS: HMM, Wireless Network, Mobile Network Virus, Worms & Trojon
I. INTRODUCTION
Many times key board acts as a barrier between computer and the user. This is true especially for rural areas. This work is an attempt towards reducing the gap between the computer and the people of rural India, by allowing them to use Telugu language, the most common language being used by the people in rural areas. In rural areas where people cannot operate keyboards and other input devices, Speech recognition will, indeed, play a very prominent role in promoting the usage of modem technology like internet by giving oral input. Speech is a useful and effective communication medium with machines, especially in the environment where keyboard input is awkward or impossible. The Speech Processing technology (Automatic Speech Recognition and Speech Synthesis) has made great progress for European languages. In India, almost three-fourth of the population lives in rural areas and most of the population is unfamiliar with computers and English. It would be a great help for Indian society if inputs to machines, mainly computers, in native languages can be made possible. It will enable people to interact with computers in their own language and without the use of keyboard. Speech interfacing involves two distinct areas, speech synthesis and automatic speech recognition [3][7](ASR). Speech synthesis is the process of converting the text input into the corresponding speech output, i.e., it acts as a text to speech converter. Conversely, speech recognition is the way of converting the spoken sounds into the text similar to the information being conveyed...