SPEECHDAT-CAR. A large speech database for automotive environments

Asuncion Moreno; Børge Lindberg; Christoph Draxler; Gael Richard; Khalid Choukri; Stephan Euler; Jeffrey Allen

SPEECHDAT-CAR. A large speech database for automotive environments

Asuncion Moreno, Børge Lindberg, Christoph Draxler, Gael Richard, Khalid Choukri, Stephan Euler, Jeffrey Allen

Research output: Contribution to conference › Paper › peer-review

Abstract

The aims of the SpeechDat-Car project are to develop a set of speech databases to support training and testing of multilingual speech recognition applications in the car environment. As a result, a total often (10) equivalent and similar resources will be created. The 10 languages are Danish, British English, Finnish, Flemish/Dutch, French, German, Greek, Italian, Spanish and American English. For each language 600 sessions will be recorded (from at least 300 speakers) in seven characteristic environments (low speed, high speed with audio equipment on, etc.). This paper gives an overview of the project with a focus on the production phases (recording platforms, speaker recruitment, annotation and distribution).

Original language	English
Publication status	Published - 1 Jan 2000
Externally published	Yes
Event	2nd International Conference on Language Resources and Evaluation, LREC 2000 - Athens, Greece Duration: 31 May 2000 → 2 Jun 2000

Conference

Conference	2nd International Conference on Language Resources and Evaluation, LREC 2000
Country/Territory	Greece
City	Athens
Period	31/05/00 → 2/06/00

Cite this

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abstract = "The aims of the SpeechDat-Car project are to develop a set of speech databases to support training and testing of multilingual speech recognition applications in the car environment. As a result, a total often (10) equivalent and similar resources will be created. The 10 languages are Danish, British English, Finnish, Flemish/Dutch, French, German, Greek, Italian, Spanish and American English. For each language 600 sessions will be recorded (from at least 300 speakers) in seven characteristic environments (low speed, high speed with audio equipment on, etc.). This paper gives an overview of the project with a focus on the production phases (recording platforms, speaker recruitment, annotation and distribution).",

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T1 - SPEECHDAT-CAR. A large speech database for automotive environments

AU - Moreno, Asuncion

AU - Lindberg, Børge

AU - Draxler, Christoph

AU - Richard, Gael

AU - Choukri, Khalid

AU - Euler, Stephan

AU - Allen, Jeffrey

PY - 2000/1/1

Y1 - 2000/1/1

N2 - The aims of the SpeechDat-Car project are to develop a set of speech databases to support training and testing of multilingual speech recognition applications in the car environment. As a result, a total often (10) equivalent and similar resources will be created. The 10 languages are Danish, British English, Finnish, Flemish/Dutch, French, German, Greek, Italian, Spanish and American English. For each language 600 sessions will be recorded (from at least 300 speakers) in seven characteristic environments (low speed, high speed with audio equipment on, etc.). This paper gives an overview of the project with a focus on the production phases (recording platforms, speaker recruitment, annotation and distribution).

AB - The aims of the SpeechDat-Car project are to develop a set of speech databases to support training and testing of multilingual speech recognition applications in the car environment. As a result, a total often (10) equivalent and similar resources will be created. The 10 languages are Danish, British English, Finnish, Flemish/Dutch, French, German, Greek, Italian, Spanish and American English. For each language 600 sessions will be recorded (from at least 300 speakers) in seven characteristic environments (low speed, high speed with audio equipment on, etc.). This paper gives an overview of the project with a focus on the production phases (recording platforms, speaker recruitment, annotation and distribution).

M3 - Paper

AN - SCOPUS:85009223874

T2 - 2nd International Conference on Language Resources and Evaluation, LREC 2000

Y2 - 31 May 2000 through 2 June 2000

ER -

SPEECHDAT-CAR. A large speech database for automotive environments

Abstract

Conference

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