The week's pick
Reseach Article
Processing and Recognition of Voice
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 85 - Number 5 |
| Year of Publication: 2014 |
| Authors: Sourav De, Arup Kumar Das, Brotin Biswas, Arindam Biswas |
10.5120/14835-3088
|
Sourav De, Arup Kumar Das, Brotin Biswas, Arindam Biswas . Processing and Recognition of Voice. International Journal of Computer Applications. 85, 5 ( January 2014), 7-14. DOI=10.5120/14835-3088
Abstract
With rise of new technologies involving signal processing, the range of operations with signals and processing of those signals has become quite easy. Voice is considered to a unique feature of a person. So extraction of voice features and detecting and processing them in correct manner is always a matter of great concern. There's been a lot of technique to detect the voice properly, but every method has some drawbacks due to some inherent property of voice. Voice can be considered to be a random signal with some probabilities. So recognition of voice with good efficiency is not always an easy job to do. Here the feature extraction of voice by MFCC model and checking those features by three different algorithms with efficiency comparison is discussed by us.
References
- Ashish jain,hohn harris,speaker identification using mfcc andhmm based techniques,university of florida,april 25,2004
- "Mel frequency cepstral coefficient for music modeling" beth logan cambridge research laboratory
- Voice recognition algorithms using mel frequency cepstral coefficient (mfcc) and dynamic time warping (dtw) techniques lindasalwa muda, mumtaj begam and i. Elamvazuthi. Journal of computing, volume 2, issue 3, march 2010, issn 2151-9617
- Fast dtw: toward accurate dynamic time warping in linear time and space stan salvador and philip chan dept. Of computer sciences florida institute of technology melbourne, fl 32901
- http://web. science. mq. edu. au/~cassidy/comp449/html/ch11s02. Html, downloaded on 3rd march 2010.
- Vector quantization in speech coding john makhoul, fellow ieee, salim roucos, member ieee and herbet gish member ieee
- "Performance improvement of speaker recognition system" anand vardhan bhalla, master of technology, Gyan ganga college of technology jabalpur (m. p. ) India. E-mail: anandvardhanbhalla@gmail. com Shailesh khaparkar (asst. Prof. ) Head of department, Electrical and electronics engg. Gyan ganga college of technology jabalpur (m. p. ) India.
- "Speech recognition with hidden markov model: a review"-- bhupinder singh, neha kapur, puneet kaur Dept. Of computer sc. & engg. , igce abhipur, mohali (pb. ), india
- "Artificial neural network for speech recognition"--- austin marshall. March3, 2005
- "A novel voice recognition model based on hmm and fuzzy ppm" -- zhang, j. G&ps (r&d), motorola china, chengdu, china wang, b.
- "Some improvements in speech recognition algorithms based on hmm"-- kriouile, a. Crin-inria, vandoeuvre les nancy, france mari, j. -f. ; haon, j. -p.
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