650 search results - page 33 / 130 » Comparative Evaluation of Speech Parameterizations for Speec... |
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper, we present a novel approach to relax the constraint of stereo-data which is needed in a series of algorithms for noise-robust speech recognition. As a demonstration...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
ICPR
2006
IEEE
14 years 10 months ago
2006
IEEE
In most approaches to speech recognition, the speech signals are segmented using constant-time segmentation, for example into 25 ms blocks. Constant segmentation risks losing info...
NAACL
1994
13 years 10 months ago
1994
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
CSL
2002
Springer
13 years 8 months ago
2002
Springer
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...