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» The limits of speech recognition
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MLMI
2007
Springer
14 years 2 months ago
A Study of Phoneme and Grapheme Based Context-Dependent ASR Systems
In this paper we present a study of automatic speech recognition systems using context-dependent phonemes and graphemes as sub-word units based on the conventional HMM/GMM system a...
John Dines, Mathew Magimai-Doss
JCIT
2008
124views more  JCIT 2008»
13 years 8 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
WCE
2007
13 years 9 months ago
Speech Recognition Model for Tamil Stops
—In this paper, a novel approach for implementing Tamil isolated speech phoneme recognition is described. While most of the literature on Automatic Speech Recognition (ASR) is ba...
Arumugam Rathinavelu, Anupriya Rajkumar, A. S. Mut...
ICASSP
2011
IEEE
13 years 9 days ago
Acoustic-phonetic information from excitation source for refining manner hypotheses of a phone recognizer
Reliable acoustic-phonetic (AP) information derived from the speech signal can be used to detect and correct errors in the output of a phone recognizer. In this paper, limited aco...
N. Dhananjaya, B. Yegnanarayana, Suryakanth V. Gan...
ICASSP
2010
IEEE
13 years 8 months ago
Noise robust exemplar-based connected digit recognition
This paper proposes a noise robust exemplar-based speech recognition system where noisy speech is modeled as a linear combination of a set of speech and noise exemplars. The metho...
Jort F. Gemmeke, Tuomas Virtanen