2019 NIST Speaker Recognition Evaluation Test Set -- Audio-Visual

Item Name: 2019 NIST Speaker Recognition Evaluation Test Set -- Audio-Visual
Author(s): Omid Sadjadi, Craig Greenberg, Xuansong Li, Stephanie Strassel
LDC Catalog No.: LDC2023V01
ISLRN: 470-750-139-731-6
DOI: https://doi.org/10.35111/pqkt-6r56
Release Date: February 15, 2023
Member Year(s): 2023
DCMI Type(s): MovingImage, Text
Sample Type: mp4
Sample Rate: 44100
Data Source(s): web collection
Project(s): NIST SRE, VAST
Application(s): speaker identification
Language(s): English
Language ID(s): eng
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2023V01 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Sadjadi, Omid, et al. 2019 NIST Speaker Recognition Evaluation Test Set -- Audio-Visual LDC2023V01. Web Download. Philadelphia: Linguistic Data Consortium, 2023.
Related Works: View


2019 NIST Speaker Recognition Evaluation Test Set -- Audio-Visual was developed by the Linguistic Data Consortium (LDC) and NIST (National Institute of Standards and Technology). It contains approximately 64 hours of English audio-visual data for development and test, answer keys, enrollment, trial files and documentation from the NIST-sponsored 2019 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 this 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 2019 evaluation task was speaker detection, that is, to determine whether a specified target speaker was speaking during a segment of speech. The evaluation was conducted in two parts: (1) a leaderboard-style challenge based on conversational telephone speech from LDC's Call My Net 2 corpus; and (2) a separate evaluation using audio-visual data collected by LDC for the VAST (Video Annotation for Speech Technology) project. Further information about the 2019 evaluation is contained in the evaluation plan included in this release.


The VAST collection focused on amateur video recordings from various online media hosting services. The recordings vary in duration from 17.5 seconds to 13 minutes.

Videos are encoded/compressed as mp4 files. Audio tracks are in aac format with a sample rate of 44.1 KHz; most have two audio channels (stereo), but some are monophonic (one channel).


Please view these samples:

Video (mp4)

Bounding Box (tsv)

Diarization (tsv)


None at this time.


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