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» Automatic speech recognition system channel modeling
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NIPS
2004
13 years 10 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
SPEECH
2002
66views more  SPEECH 2002»
13 years 8 months ago
Spanish recognizer of continuously spelled names over the telephone
In this paper we present a hypothesis-verification approach for a Spanish Recognizer of continuously spelled names over the telephone. We give a detailed description of the spelli...
Rubén San Segundo, José Colás...
SPEECH
2011
13 years 4 months ago
Intelligibility predictors and neural representation of speech
Intelligibility predictors tell us a great deal about human speech perception, in particular which acoustic factors strongly effect human behavior, and which do not. A particular...
Bryce E. Lobdell, Jont B. Allen, Mark Hasegawa-Joh...
ICASSP
2010
IEEE
13 years 9 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
ICASSP
2011
IEEE
13 years 22 days ago
Non-stationary feature extraction for automatic speech recognition
In current speech recognition systems mainly Short-Time Fourier Transform based features like MFCC are applied. Dropping the short-time stationarity assumption of the voiced speec...
Zoltán Tüske, Pavel Golik, Ralf Schl&u...