DocumentCode :
2875822
Title :
Sautrela: a highly modular open source speech recognition framework
Author :
Penagarikano, Mikel ; Bordel, German
Author_Institution :
Dept. of Electr. & Electron., Basque Country Univ., Leioa
fYear :
2005
fDate :
27-27 Nov. 2005
Firstpage :
386
Lastpage :
391
Abstract :
This paper describes the Sautrela system (www.sautrela.org), a highly modular and pluggable open source framework for generic purpose signal processing, focused on speech recognition. The aim of Sautrela is to unify in a single framework almost all the tasks related to pattern recognition such as signal processing, model training and decoding. This framework has been developed using the Javatrade technology and thus ensures its portability to a large variety of computer platforms
Keywords :
Java; public domain software; speech recognition; Java technology; Sautrela system; generic purpose signal processing; modular open source speech recognition; pattern recognition; pluggable open source framework; Application software; Decoding; Electronic mail; Hidden Markov models; Java; Object oriented modeling; Optimization methods; Pattern recognition; Signal processing; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Speech Recognition and Understanding, 2005 IEEE Workshop on
Conference_Location :
San Juan
Print_ISBN :
0-7803-9478-X
Electronic_ISBN :
0-7803-9479-8
Type :
conf
DOI :
10.1109/ASRU.2005.1566522
Filename :
1566522
Link To Document :
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