Design of a real-time hidden markov model state decoding system

Hidden Markov Models are used in different kinds of sequence recognition problems. Specially, Hidden Markov Models are suited for speech/speaker recognition systems. Due to the complexity of the algorithms involved, general-purpose computing solutions are typically significantly slower than real tim...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Barone, Dante Augusto Couto, Bampi, Sergio, Gómez Cipriano, José
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2001
Materias:
Ciencias Informáticas
Real time
Distributed
Hidden Markov Model
Design of a Real-Time
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23506
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23506
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Real time
Distributed
Hidden Markov Model
Design of a Real-Time
spellingShingle Ciencias Informáticas
Real time
Distributed
Hidden Markov Model
Design of a Real-Time
Barone, Dante Augusto Couto
Bampi, Sergio
Gómez Cipriano, José
Design of a real-time hidden markov model state decoding system
topic_facet Ciencias Informáticas
Real time
Distributed
Hidden Markov Model
Design of a Real-Time
description Hidden Markov Models are used in different kinds of sequence recognition problems. Specially, Hidden Markov Models are suited for speech/speaker recognition systems. Due to the complexity of the algorithms involved, general-purpose computing solutions are typically significantly slower than real time. For many applications, however, real-time is essential and thus a system based in specific purpose hardware becomes necessary. For the probability computation in pattern recognition systems using Hidden Markov Models, a state decoding system is necessary. The state decoding system must be able to decide, based on the input sequence, which is the most probable state sequence that produces the input sequence and therefore the reference pattern which best matches with the input pattern. In this work, the implementation of a real-time Hidden Markov Model state decoding system is described. The prototype was implemented for left-right Markov Models.
format Objeto de conferencia
Objeto de conferencia
author Barone, Dante Augusto Couto
Bampi, Sergio
Gómez Cipriano, José
author_facet Barone, Dante Augusto Couto
Bampi, Sergio
Gómez Cipriano, José
author_sort Barone, Dante Augusto Couto
title Design of a real-time hidden markov model state decoding system
title_short Design of a real-time hidden markov model state decoding system
title_full Design of a real-time hidden markov model state decoding system
title_fullStr Design of a real-time hidden markov model state decoding system
title_full_unstemmed Design of a real-time hidden markov model state decoding system
title_sort design of a real-time hidden markov model state decoding system
publishDate 2001
url http://sedici.unlp.edu.ar/handle/10915/23506
work_keys_str_mv AT baronedanteaugustocouto designofarealtimehiddenmarkovmodelstatedecodingsystem
AT bampisergio designofarealtimehiddenmarkovmodelstatedecodingsystem
AT gomezciprianojose designofarealtimehiddenmarkovmodelstatedecodingsystem
bdutipo_str Repositorios
_version_ 1764820465713414145

Ejemplares similares