Data · dataset · 2025
2019 NIST Speaker Recognition Evaluation Test Set -- CTS Challenge
Listed in UC Berkeley Library Dataverse
2019 NIST Speaker Recognition Evaluation Test Set -- CTS Challenge was developed by the Linguistic Data Consortium (LDC) and NIST (National Institute of Standards and Technology).
Description
It contains approximately 635 hours of Tunisian Arabic telephone recordings for development and test, answer keys, enrollment, trial files and documentation from the CTS Challenge portion of 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.
Read the rest (1 more)
The evaluation was conducted in two parts: (1) a leaderboard-style challenge based on conversational telephone speech from LDC's Call My Net 2 (CMN2) corpus; and (2) a separate evaluation using audio-visual material collected by LDC for the VAST (Video Annotation for Speech Technology) project. Further information about the evaluation is contained in the evaluation plan included in this release.
Links
Where it is published
- Dataverse dataset page datasets.lib.berkeley.edu/dataset.xhtml?persistentId=doi%3A10.60503%2FD3%2FILFG9M ↗
landing page · from datasets lib berkeley edu
- DOI doi.org/10.60503/d3/ilfg9m ↗
DOI / persistent id · from datasets lib berkeley edu
Catalogue records · 1
- Dataverse API datasets.lib.berkeley.edu/api/datasets/:persistentId/?persistentId=doi%3A10.60503%2FD3%2… ↗
metadata API · from datasets lib berkeley edu
Topics
- Stated by source
- Social Sciences
- From keywords
- Social Science
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UC Berkeley Library Dataverse | doi:10.60503/D3/ILFG9M | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:social-sciences | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /subjects |
| concepts[modality].local:modality:audio | enrichment · datasets lib berkeley edu | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:text | enrichment · datasets lib berkeley edu | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · datasets lib berkeley edu | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | |
| description | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /description |
| publication_date | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | |
| title | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | /name |
| updated_date | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 | |
| version_label | source · datasets lib berkeley edu | connector:datasets_lib_berkeley_edu@1.0.0 |