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An Overview of Speech Recognition Using HMM

Author(s): Ms. Rupali S Chavan | Dr. Ganesh. S Sable

Journal: International Journal of Computer Science and Mobile Computing
ISSN 2320-088X

Volume: 2;
Issue: 6;
Start page: 233;
Date: 2013;
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Keywords: Discrete Cosine Transform | Fast Fourier Transform | Hidden Markov Model | Mel Frequency Cepstral coefficients | Speech recognition

The Speech is most prominent & one of the natural forms of communication among of humanbeing. The speech is a signal of infinite information. There are different aspects related to speech like speechrecognition, speech verification, speech synthesis, speaker recognition, speaker identification etc. Thepurpose of this project is to study a speech recognition system using HMM. The goal of speech recognition isto determine which speech is present based on spoken information. The system uses MFCC for featureextraction and HMM for pattern training. The success of MFCC combined with their robust and costeffectivecomputation, turned them into a standard choice in speech recognition applications. And HMMprovides a highly reliable way of recognizing speech.
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