| Item Name: | 2005 NIST Speaker Recognition Evaluation Training Data |
| Authors: | NIST Multimodal Information Group |
| LDC Catalog No.: | LDC2011S01 |
| ISBN: | 1-58563-580-4 |
| Release Date: | May 24, 2011 |
| Data Type: | speech |
| Sample Rate: | 8000 Hz |
| Sampling Format: | ulaw |
| Data Source(s): | telephone speech |
| Project(s): | NIST SRE |
| Application(s): | speech recognition |
| Language(s): | Arabic, English, Mandarin Chinese, Russian, Spanish |
| Language ID(s): | ara, cmn, eng, rus, spa |
| Distribution: | 6 DVD |
| Member fee: | $0 for 2011 members |
| Non-member Fee: | US $2000.00 |
| Reduced-License Fee: | US $1200.00 |
| Extra-Copy Fee: | US $1200.00 |
| Non-member License: | yes |
| Online documentation: | yes |
| Licensing Instructions: | Subscription Members, Standard Members, Non-Members |
| Citation: | NIST Multimodal Information Group 2011 2005 NIST Speaker Recognition Evaluation Training Data Linguistic Data Consortium, Philadelphia |
Introduction2005 NIST Speaker Recognition Evaluation Training Data, Linguistic Data Consortium (LDC) catalog number LDC2011S01 and isbn 1-58563-579-0, was developed at LDC and NIST (National Institute of Standards and Technology). It consists of 392 hours of conversational telephone speech in English, Arabic, Mandarin Chinese, Russian and Spanish and associated English transcripts used as training data in the NIST-sponsored 2005 Speaker Recognition Evaluation (SRE). The ongoing series of SRE yearly evaluations conducted by NIST are intended to be of interest to researchers working on the general problem of text independent speaker recognition. To that end the evaluations are designed to be simple, to focus on core technology issues, to be fully supported and to be accessible to those wishing to participate. The task of the 2005 SRE evaluation was speaker detection, that is, to determine whether a specified speaker is speaking during a given segment of conversational speech. The task was divided into 20 distinct and separate tests involving one of five training conditions and one of four test conditions. Further information about the task conditions is contained in the The NIST Year 2005 Speaker Recognition Evaluation Plan. DataThe speech data consists of conversational telephone speech with multi-channel data collected simultaneously from a number of auxiliary microphones. The files are organized into two segments: 10 second two-channel excerpts (continuous segments from single conversations that are estimated to contain approximately 10 seconds of actual speech in the channel of interest) and 5 minute two-channel conversations. The speech files are stored as 8-bit u-law speech signals in separate SPHERE files. In addition to the standard header fields, the SPHERE header for each file contains some auxiliary information that includes the language of the conversation and whether the data was recorded over a telephone line. English language word transcripts in .cmt format were produced using an automatic speech recognition system (ASR)with error rates in the range of 15-30%. SamplesFor an example of the data contained in this corpus, review this audio sample. Content CopyrightPortions © 2004-2005, 2011 Trustees of the University of Pennsylvania | |
About LDC | Members | Catalog | Projects | Papers | LDC Online | Search / Help | Contact Us | UPenn | Home | Obtaining Data | Creating Data | Using Data | Providing Data
Contact: ldc@ldc.upenn.edu
(c) 1992-2010 Linguistic Data Consortium,
University of Pennsylvania. All Rights
Reserved.