49 search results - page 3 / 10 » Finite State Transducers Approximating Hidden Markov Models |
97
Voted
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
136
Voted
ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
77
Voted
CORR
2006
Springer
14 years 10 months ago
2006
Springer
The problem of discrete universal filtering, in which the components of a discrete signal emitted by an unknown source and corrupted by a known discrete memoryless channel (DMC) ar...
203
Voted
JMLR
2012
13 years 20 days ago
2012
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
ICPR
2010
IEEE
15 years 7 days ago
2010
IEEE
This paper concentrates on speech duration distributions that are usually invariant to noises and proposes a noise-robust and real-time voice activity detector (VAD) using the hid...