AN APPROACH TO DESCRIBE METHODS OF FRONT END PROCESSING OF SPEECH SIGNAL
Varsha Gupta, Mukul Pant
Abstract
Varsha Gupta, Mukul Pant
Abstract
Speech is the most natural way of information exchange. It provides an efficient means of man machine communication using speech interfacing. Today significant part of speech recognition research is focused on speaker independent speech recognition problem. Before recognition, speech processing has to be carried out to get feature vectors of the signal. So, front end analysis plays an important role. The reasons are its wide range of applications, and limitations of available techniques of speech recognition. So, in this paper we briefly discuss the different techniques of front end analysis of speech recognition including feature extraction techniques.
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Speech is the most natural way of information exchange. It provides an efficient means of man machine communication using speech interfacing. Today significant part of speech recognition research is focused on speaker independent speech recognition problem. Before recognition, speech processing has to be carried out to get feature vectors of the signal. So, front end analysis plays an important role. The reasons are its wide range of applications, and limitations of available techniques of speech recognition. So, in this paper we briefly discuss the different techniques of front end analysis of speech recognition including feature extraction techniques.
Key concepts: Speech recognition, Computer science, Speech processing, Speech analytics, Front and back ends, Voice activity detection, Speaker recognition, Signal processing