A Review: Speech Reorganization by Using Artificial Neural Network

Authors

  • Dr. Kavita1, Dr. Akash Saxena2, Jitendra Joshi3 Compucom Institute of Technology & Management, Jaipur, India.

Abstract

This paper presents the basic idea of speech recognition, proposed types of speech recognition issues in speech recognition, different useful approaches for feature extraction of the speech signal with its advantage and disadvantage and various pattern matching approaches for recognizing the speech of the different speaker. Now day’s research in speech recognition system is motivated for ASR system with a large vocabulary that supports speaker independent operations and continuous speech in different language. Keywords:-Pattern Recognition, Automatic Speech Recognition (ASR), Acoustic Modeling, Language Modeling. Feature extraction, pattern matching, ANN, HMM, DTW, MFCC.

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Published

2016-06-30

How to Cite

Jitendra Joshi3, D. K. D. A. S. (2016). A Review: Speech Reorganization by Using Artificial Neural Network. International Journal of Engineering Technology and Computer Research, 4(3). Retrieved from https://ijetcr.org/index.php/ijetcr/article/view/320

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Section

Articles