AURORA Project database - Subset of SpeechDat-Car - Spanish database - Evaluation Package

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Base de données du projet AURORA - sous-ensemble de la base de données SpeechDat-Car de l'espagnol - Package d'évaluation

372-183-247-420-3

ID:

ELRA-AURORA-CD0003-02

The Aurora project was originally set up to establish a world wide 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 : Distributed Speech Recognition - Front-End Feature Extraction Algorithm & Compression Algorithm
- ETSI DES/STQ WI008 : Distributed Speech Recognition - Advanced Feature Extraction Algorithm.

This database is a subset of the SpeechDat-Car database in Spanish language which has been collected as part of the European Union funded SpeechDat-Car project. It contains isolated and connected Spanish digits spoken in the following noise and driving conditions inside a car :

1. Quiet environment. Stop motor running.
2. Low noise. Town traffic + low speed rough road.
3. High noise : High speed good road.

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DESCRIPTION DISPONIBLE EN FRANCAIS PROCHAINEMENT.

The Aurora project was originally set up to establish a world wide 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 : Distributed Speech Recognition - Front-End Feature Extraction Algorithm & Compression Algorithm
- ETSI DES/STQ WI008 : Distributed Speech Recognition - Advanced Feature Extraction Algorithm.

This database is a subset of the SpeechDat-Car database in Spanish language which has been collected as part of the European Union funded SpeechDat-Car project. It contains isolated and connected Spanish digits spoken in the following noise and driving conditions inside a car :

1. Quiet environment. Stop motor running.
2. Low noise. Town traffic + low speed rough road.
3. High noise : High speed good road.

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25/04/2001 Downloadable
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