Team:Valencia Biocampus/talking

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Revision as of 17:02, 27 August 2012

Talking Interfaces

1. JULIUS

"Julius" is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) decoder software for speech-related researchers and developers. Based on word N-gram and context-dependent HMM, it can perform almost real-time decoding on most current PCs in 60k word dictation task. Major search techniques are fully incorporated such as tree lexicon, N-gram factoring, cross-word context dependency handling, enveloped beam search, Gaussian pruning, Gaussian selection, etc. Besides search efficiency, it is also modularized carefully to be independent from model structures, and various HMM types are supported such as shared-state triphones and tied-mixture models, with any number of mixtures, states, or phones. Standard formats are adopted to cope with other free modeling toolkit such as HTK, CMU-Cam SLM toolkit, etc. The main platform is Linux and other Unix workstations, and also works on Windows. Most recent version is developed on Linux and Windows (cygwin / mingw), and also has Microsoft SAPI version. Julius is distributed with open license together with source codes.

Julius has been developed as a research software for Japanese LVCSR since 1997, and the work was continued under IPA Japanese dictation toolkit project (1997-2000), Continuous Speech Recognition Consortium, Japan (CSRC) (2000-2003) and currently Interactive Speech Technology Consortium (ISTC).

2. ARDUINO

3. FLUORÍMETRO

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 == Talking Interfaces ==
-El objetivo principal de nuestro proyecto es poder establecer una comunicación con nuestros microorganismos de un modo distinto, hablando directamente con ellos!
-Para llevar a cabo la comunicación es necesario emplear los siguientes elementos:
--  reconocedor de voz
--  arduino
-- fluorímetro
-El primero tiene como función hacer de interface externa con nuestro sistema. Mediante dicha interface podremos realizar diferentes preguntas al cultivo comenzando la comunicación. Así pues, en función de la pregunta solicitada el reconocedor de voz guardará un valor en el registro correspondiente.
-Es en este momento cuando entra en juego el arduino. Éste se utiliza únicamente para poder conectar el fluorímetro al reconocedor de voz.
-El valor guardado anteriormentepor el reconocedor anteriormente indicará al arduíno que led del fluorímetro debe encender
-emitirá una señal distinta que recogerá el fluorímetro
 . JULIUS