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Data · dataset · 2026

2021 NIST Speaker Recognition Evaluation Development and Test Set

Listed in UC Berkeley Library Dataverse

2021 NIST Speaker Recognition Evaluation Test Set was developed by the Linguistic Data Consortium (LDC) and NIST (National Institute of Standards and Technology).

Description

It contains approximately 447 hours of Cantonese, Mandarin, and English conversational telephone speech (CTS), audio from video (AfV), and image data for development and test, along with answer keys, enrollment, trial files and documentation from the NIST-sponsored 2021 Speaker Recognition Evaluation (SRE).

The ongoing series of SRE 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.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Social Sciences
From keywords
Social Science
Inferred from text
Audio 75% · Image 75% · Text 75% · Video 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
UC Berkeley Library Dataversedoi:10.60503/D3/HTUIOX5 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:audioenrichment · datasets lib berkeley edukeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:imageenrichment · datasets lib berkeley edukeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:textenrichment · datasets lib berkeley edukeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:videoenrichment · datasets lib berkeley edukeyword-concept-rules@1.0.0title+description (75%)
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