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COLING
1990
13 years 9 months ago
A Spelling Correction Program Based on a Noisy Channel Model
This paper describes a new program, correct, which takes words rejected by the Unix spell program, proposes a list of candidate corrections, and sorts them by probability. The pro...
Mark D. Kernighan, Kenneth Ward Church, William A....
ACL
2004
13 years 10 months ago
Attention Shifting for Parsing Speech
We present a technique that improves the efficiency of word-lattice parsing as used in speech recognition language modeling. Our technique applies a probabilistic parser iterative...
Keith B. Hall, Mark Johnson
CVPR
1998
IEEE
14 years 10 months ago
A Methodology for Deriving Probabilistic Correctness Measures from Recognizers
This paper describes the derivation of probability of correctness from scores assigned by most recognizers. Motivation for this research is three-fold: i probability values can be...
Djamel Bouchaffra, Venu Govindaraju, Sargur N. Sri...
JCST
2006
99views more  JCST 2006»
13 years 8 months ago
A Dialectal Chinese Speech Recognition Framework
Abstract A framework for dialectal Chinese speech recognition is proposed and studied, in which a relatively small dialectal Chinese (or in other words Chinese influenced by the na...
Jing Li, Thomas Zheng, William Byrne, Daniel Juraf...
ICPR
2008
IEEE
14 years 2 months ago
A Hybrid PNN-GMM classification scheme for speech emotion recognition
With the increasing demand for spoken language interfaces in human-computer interactions, automatic recognition of emotional states from human speeches has become of increasing im...
Wee Ser, Ling Cen, Zhu Liang Yu