1998 Speaker Recognition Benchmark
|Item Name:||1998 Speaker Recognition Benchmark|
|Author(s):||Mark Przybocki, Alvin Martin|
|LDC Catalog No.:||LDC98S76|
|Sample Type:||1-channel ulaw|
|Data Source(s):||transcribed speech|
LDC User Agreement for Non-Members
|Online Documentation:||LDC98S76 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Przybocki, Mark, and Alvin Martin. 1998 Speaker Recognition Benchmark LDC98S76. Web Download. Philadelphia: Linguistic Data Consortium, 1998.|
1998 Speaker Recognition Benchmark was developed by the Linguistic Data Consortium (LDC) and the National Institute of Standards and Technology (NIST). It contains approximately 110 hours of English conversational telephone speech collected by LDC and used in the NIST-sponsored 1998 Speaker Recognition Evaluation.
The 1998 speaker recognition evaluation is part of an ongoing series of yearly benchmark tests conducted by NIST. These tests are intended to provide a stable reference point for measuring and comparing the performance of diverse methods for text-independent speaker recognition over the telephone and should be of interest to all researchers working in this area of speech technology development. The test sets and evaluation protocols have been designed to be simple, to focus on core technology issues, to be fully supported and to be accessible.
In 1996 and 1997 handset variation was featured as a prominent technical challenge to be addressed. While handset variation remains a formidable challenge, the 1998 evaluation directs greatest attention toward speaker recognition performance for the case in which both training and test data are from the same source. The speech data were recorded by the LDC between January and March 1997. Most of the speakers recruited for this collection were college students from the Great Lakes (Northern Midwest) region of the U.S.
The data was drawn from Switchboard-2 Phase II (LDC99S79) and is divided into test and training sets. The test set comprises 16,992 files totalling 65.25 hours, and the training set comprises 2,500 files totalling 44.5 hours.
For an example of the data in this corpus, please listen to this audio sample (SPH).
None at this time.