PERFORMANCE COMPARISON OF ROBUST SPEECH RECOGNITION USING DIFFERENT FEATURE EXTRACTION TECHNIQUES
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 1)Publication Date: 2019-01-30
Authors : Divya Gupta; Poonam Bansal; Kavita Choudhary;
Page : 125-130
Keywords : Speech recognition; noise; robustness; distortion modeling; compensation; uncertainty processing; joint model training;
Abstract
The principal target of talk affirmation zone is to make techniques and structures for talk commitment to machine. Talk is the basic techniques for correspondence between individuals. For reasons going from inventive enthusiasm about the segments for mechanical affirmation of human talk abilities to longing to robotize fundamental errands which require human machine associations and research in modified talk affirmation by machines has pulled in a ton of thought for quite a while. In light of genuine advances in authentic exhibiting of talk, customized talk affirmation structures today find expansive application in assignments that require human machine interface, for instance, modified call taking care of in telephone frameworks, and request based information systems that give invigorated travel information, stock esteem references, atmosphere reports, Data section, voice correspondence, access to information: travel, keeping cash, Commands, Avoinics, Automobile passage, talk elucidation, Handicapped people (amaze people) general store, railroad reservations.
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