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

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

ID:

ELRA-AURORA-CD0003_04

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

1. High speed good road
2. Low speed rough road
3. Stopped with motor running
4. Town traffic

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

1. High speed good road
2. Low speed rough road
3. Stopped with motor running
4. Town traffic

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