253 search results - page 23 / 51 » Robust Speech Recognition Using Neural Networks and Hidden M... |
PERCOM
2003
ACM
14 years 2 months ago
2003
ACM
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
CSL
2000
Springer
13 years 8 months ago
2000
Springer
This paper introduces a new form of observation distributions for hidden Markov models (HMMs), combining subvector quantization and mixtures of discrete distrib utions. Despite w...
PAMI
2002
13 years 8 months ago
2002
The multimodal nature of speech is often ignored in human-computer interaction, but lip deformations and other body motion, such as those of the head, convey additional information...
CSL
2007
Springer
13 years 8 months ago
2007
Springer
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
Before the advent of Hidden Markov Models(HMM)-based speech recognition, many speech applications were built using pattern matching algorithms like the Dynamic Time Warping (DTW) ...