A Survey on Speech Recognition Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 10
Abstract
This paper provides a survey on feature extraction for speech recognition and discusses the techniques and system that make it possible for computers to accept speech as input. This paper shows the major developments in the field of speech recognition. This paper draw special attention to the speech recognition techniques and provides a brief description about the four stages where the speech recognition techniques are classified. In addition, this paper gives a detailed information of four feature extraction techniques: Linear Predictive Coding (LPC), Mel-frequency cepstrum coefficient (MFCCs), RASTA filtering and Probabilistic Linear Discriminate Analysis (PLDA). The objective of this paper is to summarize the feature extractions techniques used in speech recognition system.
Authors and Affiliations
Mr. Shetty Bhavesh. R, Mr. Kurapati Shyam. S. , Mr. Kurapati Ram. S. , Prof. Joshi Parag. S.
Keywords
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