2003 NIST Language Recognition Evaluation
|Item Name:||2003 NIST Language Recognition Evaluation|
|Author(s):||Alvin Martin, Mark Pryzbocki|
|LDC Catalog No.:||LDC2006S31|
|Release Date:||June 15, 2006|
|Data Source(s):||telephone conversations|
|Language(s):||Vietnamese, Tamil, Spanish, Iranian Persian, Korean, Japanese, Hindi, French, English, German, Mandarin Chinese, Egyptian Arabic|
|Language ID(s):||vie, tam, spa, pes, kor, jpn, hin, fra, eng, deu, cmn, arz|
LDC User Agreement for Non-Members
|Online Documentation:||LDC2006S31 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Martin, Alvin, and Mark Pryzbocki. 2003 NIST Language Recognition Evaluation LDC2006S31. Web Download. Philadelphia: Linguistic Data Consortium, 2006.|
The goal of the NIST Language Recognition Evaluation (LRE) is to establish the baseline of current performance capability for language recognition of conversational telephone speech and to lay the groundwork for further research efforts in the field. The series had its first evaluation in 1996. 2003 NIST Language Recognition Evaluation (LRE-03) was part of this ongoing series of evaluations of language recognition technology.
Further information regarding this evaluation may be found in the NIST 2003 evaluation plan.
The task evaluated was the detection of a given target language. Given a test segment of speech, a target language was assigned as a test hypothesis, and the task was to determine whether this test hypothesis was true or false. This release contains both the 1996 and 2003 NIST Language Recognition Evaluations.
Each speech file is one side of a "four wire" telephone conversation represented as 8-bit, 8kHz mulaw data. There are 11,830 speech files in sphere(.sph) format for a total of around forty six hours of speech. The speech data was compiled from the LDC's CALLFRIEND, CALLHOME, and Switchboard-2 corpora. Each file contains one test segment. The test segments are divided into three-second, ten-second, and thirty-second tests, each in its own directory.
For an example of the data in this corpus, please listen to this audio sample.
A typo was fixed in the index.html file. There are 11,830 sphere files, not 11,839. The updated index file is available in the online docs folder.