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INTERSPEECH
2010
13 years 3 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
ICASSP
2011
IEEE
13 years 5 days ago
MLP based phoneme detectors for Automatic Speech Recognition
Phoneme posterior probabilities estimated using Multi-Layer Perceptrons (MLPs) are extensively used both as acoustic scores and features for speech recognition. In this paper we e...
Samuel Thomas, Patrick Nguyen, Geoffrey Zweig, Hyn...
ICPR
2000
IEEE
14 years 9 months ago
Large Vocabulary Audio-Visual Speech Recognition Using Active Shape Models
Orthogonal information present in the video signal associated with the audio helps in improving the accuracy of a speech recognition system. Audio-visual speech recognition involv...
Tanveer A. Faruquie, Abhik Majumdar, Nitendra Rajp...
ICASSP
2011
IEEE
13 years 5 days ago
Log spectra enhancement using speaker dependent priors for speaker verification
We present a variational Bayesian algorithm that enhances the log spectra of noisy speech using speaker dependent priors. This algorithm extends prior work by Frey et al. where th...
Ciira Wa Maina, John MacLaren Walsh
ICMI
2007
Springer
101views Biometrics» more  ICMI 2007»
14 years 2 months ago
Disambiguating speech commands using physical context
Speech has great potential as an input mechanism for ubiquitous computing. However, the current requirements necessary for accurate speech recognition, such as a quiet environment...
Katherine Everitt, Susumu Harada, Jeff A. Bilmes, ...