1997 Speaker Recognition Benchmark
|Item Name:||1997 Speaker Recognition Benchmark|
|Author(s):||Mark Przybocki, Alvin Martin|
|LDC Catalog No.:||LDC99S80|
|Sample Type:||1-channel ulaw|
|Data Source(s):||transcribed speech|
LDC User Agreement for Non-Members
|Online Documentation:||LDC99S80 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Przybocki, Mark, and Alvin Martin. 1997 Speaker Recognition Benchmark LDC99S80. Web Download. Philadelphia: Linguistic Data Consortium, 1999.|
The 1997 speaker recognition evaluation was part of an ongoing series of yearly evaluations conducted by NIST. These evaluations provide an important contribution to the direction of research efforts and the calibration of technical capabilities. They are intended to be of interest to all researchers working on the general problem of text independent speaker recognition. To this end the evaluation was designed to be simple, to focus on core technology issues, to be fully supported, and to be accessible.
Technical Objectives of the 1997 speaker recognition evaluation were:
1. Exploring promising new ideas in speaker recognition 2. Developing advanced technology incorporating these ideas 3. Measuring the performance of this technology
The evaluation data was drawn from the Switchboard-2 Phase 1 corpus. Both training and test segments were constructed by concatenating consecutive turns for the desired speaker, similar to what was done in 1996. Each segment is stored as a continuous speech signal in a separate SPHERE file. The speech data is stored in 8-bit mulaw format.