OLAC Record
oai:catalogue.elra.info:ELRA-S0156

Metadata
Title:ANITA (Audio eNhancement In Telecom Applications)
Abstract:ANITA (Audio eNhancement In secured Telecommunication Applications) consists of 41 recordings (17 males and 24 females) stored on 13 CDs. It consists of voice recordings in 4 languages (English, French, German and Spanish), noise recordings (sirens, engines, roadworks, crowds, trains, etc.), and real condition recordings (voices and mixed noises), in English. Each language consists of 60 phonetically rich sentences (normal and stress and in panic conditions), letters and numerals (normal and stress and in panic conditions) and a 10 minute text (normal conditions).
Access Rights:Rights available for: Research Use, Commercial Use
Date Available (W3CDTF):2004-02-05
Date Issued (W3CDTF):2004-09-14
Date Modified (W3CDTF):2007-02-22
Description:Desktop/Microphone
ANITA (Audio eNhancement In secured Telecommunication Applications) is a European project launched on the initiative of EADS TELECOM with the objective of reducing audio acoustics noise in secured communications in adverse environments (sirens, alarms, engines, water pumps, stress situations, etc.). ANITA is a RANITA (Audio eNhancement In secured Telecommunication Applications) is a European project launched on the initiative of EADS TELECOM with the objective of reducing audio acoustics noise in secured communications in adverse environments (sirens, alarms, engines, water pumps, stress situations, etc.). ANITA is a R&T project promoted within the 5th RTD framework program of the European Commission, Information Society Technology priority (IST). In Europe, the secured digital telecommunications are based on two digital standards: TETRA (Trans European Trunk Radio) and TETRAPOL. ANITA addresses these two standards. This acoustic database consists of 41 recordings (17 males and 24 females) stored on 13 CDs: 1. Voice recordings in 4 languages (English, French, German and Spanish) 2. Noise recordings (sirens, engines, roadworks, crowds, trains, etc.) 3. Real condition recordings (voices and mixed noises), in English Voice recordings took place in 2 types of conditions: normal conditions and stress and in panic conditions. Recording scenarios are public place (closed and open), moving vehicle, vehicle standing still and closed laboratory, through omnidirectional microphone B&K 4190 for voice, microphone Audio Technica ATM10A for noise and a linear uniformly-spaced 8-element array. Each language consists of: In normal conditions: - 60 phonetically rich sentences - letters and numerals - 10 minute text (Spanish text: extract of Rinconete y Cortadillo from Miguel de Cervantes Saavedra, French text: extract of Eug?nie Grandet from Balzac, German text: extract of Die Lieben des Jungen Werther from Goethe, English text: extract of The woman in white) In conditions of stress and panic: - same 60 phonetically rich sentences - same letters and numerals One part of recordings was produced by EADS TELECOM and the other part by Friedrich-Alexander Universit?t Erlangen, N?rnberg. ELDA provided the 60 phonetically rich sentences. For more information on the project: http://fp5-anita.org
Identifier:ELRA-S0156
http://catalog.elra.info/product_info.php?products_id=12
Language:English
French
Spanish, Castilian
German
Language (ISO639):eng
fra
spa
deu
Medium:DVD
Publisher:ELRA (European Language Resources Association)
Type (DCMI):Sound
Type (OLAC):primary_text

OLAC Info

Archive:  ELRA Catalogue of Language Resources
Description:  http://www.language-archives.org/archive/catalogue.elra.info
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:catalogue.elra.info:ELRA-S0156
DateStamp:  2004-02-05
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: n.a. 2004. ELRA (European Language Resources Association).
Terms: area_Europe country_DE country_ES country_FR country_GB dcmi_Sound iso639_deu iso639_eng iso639_fra iso639_spa olac_primary_text


http://www.language-archives.org/item.php/oai:catalogue.elra.info:ELRA-S0156
Up-to-date as of: Wed Mar 29 3:47:31 EDT 2017