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JCIT
2008
124views more  JCIT 2008»
13 years 7 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
TSP
2010
13 years 2 months ago
A multi-resolution hidden Markov model using class-specific features
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
Paul M. Baggenstoss
ICASSP
2010
IEEE
13 years 7 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
TSD
1999
Springer
13 years 11 months ago
Classifying Visemes for Automatic Lipreading
Automatic lipreading is automatic speech recognition that uses only visual information. The relevant data in a video signal is isolated and features are extracted from it. From a s...
Michiel Visser, Mannes Poel, Anton Nijholt
VLSID
2004
IEEE
212views VLSI» more  VLSID 2004»
14 years 8 months ago
On Design and Implementation of an Embedded Automatic Speech Recognition System
We present a new design of an Embedded Speech Recognition System. It combines the aspects of both hardware and software design to implement a speaker dependent, isolated word, sma...
Sujay Phadke, Rhishikesh Limaye, Siddharth Verma, ...