42 search results - page 1 / 9 » Normalized Training for HMM-Based Visual Speech Recognition |
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
ICIP
2000
IEEE
14 years 6 months ago
2000
IEEE
This paper presents an approach to estimating the parameters of continuous density HMMs for visual speech recognition. One of the key issues of image-based visual speech recogniti...
PRL
2000
13 years 4 months ago
2000
: In this study, we introduce a set of one-dimensional features to represent two dimensional shape information for HMM (Hidden Markov Model) based handwritten optical character rec...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data. NAM is extremely ...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...