A Review on Speech Segmentation Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
As information technology has an impact on more and more aspects of our daily lives, the problem of communication between human beings and information-processing devices become increasingly important. Up to now such communication has been run almost entirely by means of keyboards and screens, but speech is by far the most widely used, natural and fast means of communication for people. Unfortunately, machine capabilities for interpreting speech are still poor in comparison to what a human can achieve. Speech segmentation is the process of identifying the boundaries between words, syllables, or phonemes in spoken natural languages. The term applies both to the mental processes used by humans, and to artificial processes of natural language processing. Speech segmentation is a subfield of general speech perception and an important sub problem of the technologically focused field of speech recognition, and cannot be adequately solved in isolation. In this paper we study about the existing techniques used for speech classification.
Authors and Affiliations
Vikas Malik, Rekha
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