The NIST 1999 Speaker Recognition Evaluation—An Overview

✍ Scribed by Alvin Martin; Mark Przybocki

• Book ID: 102569470
• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 436 KB
• Volume: 10
• Category: Article
• ISSN: 1051-2004
• DOI: 10.1006/dspr.1999.0355

✦ Synopsis

This article summarizes the 1999 NIST Speaker Recognition Evaluation. It discusses the overall research objectives, the three task definitions, the development and evaluation data sets, the specified performance measures and their manner of presentation, the overall quality of the results. More than a dozen sites from the United States, Europe, and Asia participated in this evaluation. There were three primary tasks for which automatic systems could be designed: one-speaker detection, two-speaker detection, and speaker tracking. All three tasks were performed in the context of mulaw encoded conversational telephone speech. The one-speaker detection task used single channel data, while the other two tasks used summed two-channel data. About 500 target speakers were specified, with 2 min of training speech data provided for each. Both multiple and single speaker test segments were selected from about 2000 conversations that were not used for training material. The duration of the multiple speaker test data was nominally 1 min, while the duration of the single speaker test segments varied from near zero up to 60 s. For each task, systems had to make independent decisions for selected combinations of a test segment and a hypothesized target speaker. The data sets for each task were designed to be large enough to provide statistically meaningful results on test subsets of interest. Results were analyzed with respect to various conditions including duration, pitch differences, and handset types.