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Paper Details
Paper Title
Effect of Pre-processing along with MFCC Parameters in Speech Recognition
Authors
  Ms.Ankita S. Chavan,  Mrs.S. S Munot(Bhabad)
Abstract
This paper gives brief description about feature extraction technique using MFCC. MFCC is mostly used in Automatic Speech Recognition System. Feature extraction plays an important role in ASR, which provides the set of main features. This paper includes the results for effects of normalization, down-sampling and parameter changes like window size, linear spacing. Speech recognition means pattern recognition problem, so classification is done on data using minimum distance classifier. Training and testing data are different. For down-sampling i.e Fs/4 more accuracy is achieved than normalization.
Keywords- Automatic Speech Recogniton(ASR), Down Sampling(Fs), Mel Frequency Cepstral Coefficients (MFCC), Discrete Cosine Transform(DCT).
Publication Details
Unique Identification Number - IJEDR1603093Page Number(s) - 563-566Pubished in - Volume 4 | Issue 3 | August 2016DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Ms.Ankita S. Chavan,  Mrs.S. S Munot(Bhabad),   "Effect of Pre-processing along with MFCC Parameters in Speech Recognition ", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.563-566, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603093.pdf
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