AURORA Project Database - Aurora 4b - Evaluation Package

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Base de données du projet AURORA - Aurora 4b - Package d'évaluation

235-361-100-601-7

ID:

ELRA-AURORA-CD0004-02

The Aurora project was originally set up to establish a worldwide standard for the feature extraction software which forms the core of the front-end of a DSR (Distributed Speech Recognition) system. ETSI formally adopted this activity as work items 007 and 008.

The two work items within ETSI are :
ETSI DES/STQ WI007 : DSR - Front-end feature extraction algorithm & compression algorithm
ETSI DES/STQ WI008 : DSR - Advanced feature extraction algorithm

The Aurora project has released a number of list files for performing the training and testing on the Wall Street Journal (WSJ0) data at two sampling rates -8 kHz and 16 kHz. The Aurora 4b, has been released. It contains noisy versions of the Nov'92 WSJ0 development set.

Two original copies of the contract (pdf | doc | rtf) must be sent to ELDA.

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DESCRIPTION DISPONIBLE EN FRANCAIS PROCHAINEMENT.

The Aurora project was originally set up to establish a worldwide standard for the feature extraction software which forms the core of the front-end of a DSR (Distributed Speech Recognition) system. ETSI formally adopted this activity as work items 007 and 008.

The two work items within ETSI are :
ETSI DES/STQ WI007 : DSR - Front-end feature extraction algorithm & compression algorithm
ETSI DES/STQ WI008 : DSR - Advanced feature extraction algorithm

The Aurora project has released a number of list files for performing the training and testing on the Wall Street Journal (WSJ0) data at two sampling rates -8 kHz and 16 kHz. The Aurora 4b, has been released. It contains noisy versions of the Nov'92 WSJ0 development set.

Two original copies of the contract (pdf | doc | rtf) must be sent to ELDA.

MEMBERacademiccommercial
Licence: Non Commercial Use - ELRA END USER
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250.00 € submit
NON MEMBERacademiccommercial
Licence: Non Commercial Use - ELRA END USER
0.00 € submit
250.00 € submit
16/04/2003 Downloadable
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