48 search results - page 6 / 10 » Application of continuous state Hidden Markov Models to a cl... |
CORR
2004
Springer
13 years 10 months ago
2004
Springer
This paper presents a novel application of speech emotion recognition: estimation of the level of conversational engagement between users of a voice communication system. We begin...
AUTOMATICA
2007
13 years 10 months ago
2007
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
ICASSP
2009
IEEE
13 years 8 months ago
2009
IEEE
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
EMMCVPR
2001
Springer
14 years 2 months ago
2001
Springer
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
IJCNN
2006
IEEE
14 years 4 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...