LINGUIST List 12.1216

Wed May 2 2001

FYI: ELRA News, Comp Ling Fall School

Editor for this issue: Lydia Grebenyova <lydialinguistlist.org>

Directory

1. Magali Duclaux, European Lang Resources Association (ELRA) News
2. Miriam Butt, Computational Linguistics Fall School at Konstanz

ELRA
European Language Resources Association
ELRA News

We are happy to announce new resources available via ELRA in the framework 
of the Aurora project.

 *** AURORA PROJECT DATABASE ***

[ELRA is releasing 5 databases made within the ETSI STQ-AURORA DSR working 
group.]

AURORA PROJECT DATABASE 2.0

The Aurora project is releasing a revised version of the Noisy TI digits 
database to follow on the work of ETSI. This CD set is a replacement for 
the previous set (version 1.0 consisted of 2 CDs while version 2.0 now 
consists of 4 CDs) .
This database is intended for the evaluation of algorithms for front-end 
feature extraction algorithms in background noise but may also be used more 
widely by speech researchers to evaluate and compare the performance of
noise robust speech recognition algorithms.

Compared to version 1.0 the changes are as follows:

1) The files are restored to the energy level of the original speech
in the TI digits database.
2) One of the noise types added to the speech has been changed
(the babble one)
3) There is an additional test sets where the noises are mismatched
to those used in the training set.
4) There is a convolutional distortion test.
5) There is a clean training set
The CD ROM will be used for the next round of ETSI Aurora standards
evaluation.

AURORA PROJECT DATABASE 3.0- SUBSET OF SPEECHDAT-CAR FINNISH DATABASE

This database is a subset of the SpeechDat-Car database in Finnish language 
which has been collected as part of the European Union funded SpeechDat-Car 
project. It contains isolated and connected Finnish digits spoken in the 
following driving conditions inside a car:
1. 0 km/hr with the car engine on
2. 40-60 km/hr with the car windows closed
3. 40-60 km/hr with the car windows open
4. 100-120km/hr with no music in the background
5. 100-120km/hr with music in the background
The database also contains the software needed to run simulations
using the Entropic's HTK, which has been adopted as the "standard"
HMM recogniser for the Aurora standard evaluation.

AURORA PROJECT DATABASE 3.0- SUBSET OF SPEECHDAT-CAR DANISH DATABASE

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

AURORA PROJECT DATABASE 3.0- SUBSET OF SPEECHDAT-CAR GERMAN DATABASE

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

5. High speed good road
6. Low speed rough road
7. Stopped with motor running
8. Town traffic

AURORA PROJECT DATABASE 3.0- SUBSET OF SPEECHDAT-CAR SPANISHDATABASE

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.
=====================================
For further information, please contact:
ELRA/ELDA Tel +33 01 43 13 33 33
55-57 rue Brillat-Savarin Fax +33 01 43 13 33 30
F-75013 Paris, France E-mail mapellielda.fr
or visit the online catalogue on our Web site:
http://www.icp.grenet.fr/ELRA/home.html
or http://www.elda.fr
=====================================

REMINDER: 

The early registration deadline for the Computational Linguistics Fall
School at the University of Konstanz is 

			 JUNE 1, 2001


The Fall School wil be held September 10-21, 2001. 

Detailed information and registration forms can be found at: 

 http://ling.uni-konstanz.de/pages/conferences/dgfs-cl00/

The registration rates go up after June 1. 

 
Courses 

 Stefan M�ller (DFKI, Saarbruecken), Jonas Kuhn (IMS Stuttgart)
 Grammar Development in constraint-based formalisms: HPSG und LFG

 Henning Reetz (Konstanz)
 From the Speechsignal to the Word

 Tibor Kiss (Bochum)
 PERL for Linguists

 Sabine Schulte im Walde, Heike Zinsmeister (IMS Stuttgart)
 Statistical Grammar Development and Corpuslinguistic Information
 Extraction 


Invited Talks: 

 Mary Dalrymple (Xerox PARC) 
 Louisa Sadler (Essex)