most citedTechniques for Feature Extraction In Speech Recognition System : A Comparative Study

103 citations · 156 across the 12 of their papers we have counts for

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cs.SD2013★ 5 cited

Automatic Speech Recognition Using Template Model for Man-Machine Interface

Neema Mishra, Urmila Shrawankar, V M Thakare

Speech is a natural form of communication for human beings, and computers with the ability to understand speech and speak with a human voice are expected to contribute to the devel…

cs.SD2013★ 12 cited

Speech Enhancement Using Pitch Detection Approach For Noisy Environment

Rashmi Makhijani, Urmila Shrawankar, V M Thakare

Acoustical mismatch among training and testing phases degrades outstandingly speech recognition results. This problem has limited the development of real-world nonspecific applicat…

cs.SD2013

Speech Enhancement Modeling Towards Robust Speech Recognition System

Urmila Shrawankar, V. M. Thakare

Form about four decades human beings have been dreaming of an intelligent machine which can master the natural speech. In its simplest form, this machine should consist of two subs…

cs.SD2013★ 103 cited

Techniques for Feature Extraction In Speech Recognition System : A Comparative Study

Urmila Shrawankar, V M Thakare

The time domain waveform of a speech signal carries all of the auditory information. From the phonological point of view, it little can be said on the basis of the waveform itself.…

cs.SD2013

Acoustic Echo Cancellation Postfilter Design Issues For Speech Recognition System

Urmila Shrawankar, V M Thakare

In this paper a generalized postfilter algorithm design issues are presented. This postfilter is used to jointly suppress late reverberation, residual echo, and background noise. W…