Research Paper | Computer Science & Engineering | India | Volume 2 Issue 5, May 2013
Research paper on Automatic Speech Recognition using different Techniques
Vaibhavi Trivedi, Chetan Singadiya
Speech technology and systems in human computer communication have witnessed a stable and remarkable advancement over the last two decades. Automatic speech recognition, which was considered to be a concept of science fiction and which has been hit by number of performance degrading factors, is now an important part of information and communication technology. Speech recognition system recognizes the speech samples. There are many speech recognition systems implemented based on well known algorithms. Generally speech recognition systems have two parts the first part is feature extraction and second part is classification. There are so many algorithms for feature extraction and classification. The Mel-Frequency Cepstral Coefficients (MFCC) algorithm as the main algorithm used for the features extraction of all the set of distinct words. Implemented the Vector Quantization (VQ) algorithm for the features classification/matching and pattern recognition
Keywords: Speech Recognition, MFCC, VQ
Edition: Volume 2 Issue 5, May 2013
Pages: 144 - 150
How to Cite this Article?
Vaibhavi Trivedi, Chetan Singadiya, "Research paper on Automatic Speech Recognition using different Techniques", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSROFF2013216, Volume 2 Issue 5, May 2013, 144 - 150
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