oai:www.ldc.upenn.edu:LDC2025S11
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OLAC Record oai:www.ldc.upenn.edu:LDC2025S11 |
| Metadata | ||
| Title: | 2021 NIST Speaker Recognition Evaluation Development and Test Set | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Sadjadi, Omid, et al. 2021 NIST Speaker Recognition Evaluation Development and Test Set LDC2025S11. Web Download. Philadelphia: Linguistic Data Consortium, 2025 | |
| Contributor: | Sadjadi, Omid | |
| Greenberg, Craig | ||
| Walker, Kevin | ||
| Jones, Karen | ||
| Caruso, Christopher | ||
| Strassel, Stephanie | ||
| Date (W3CDTF): | 2025 | |
| Date Issued (W3CDTF): | 2025-12-15 | |
| Description: | *Introduction* 2021 NIST Speaker Recognition Evaluation Test Set was developed by the Linguistic Data Consortium (LDC) and NIST (National Institute of Standards and Technology). 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. The SRE task is speaker detection, that is, to determine whether a specified target speaker was speaking during a segment of speech. SRE21 focused on telephone speech and audio from video and included close-up images of participants. The evaluation also featured cross-lingual trials, that is, enrollment and test segments spoken in different languages. Further information about the evaluation is contained in the SRE21 evaluation plan included in this release. *Data* The data was drawn from the WeCanTalk corpus collected by LDC in which speakers called friends or relatives who agreed to record their telephone conversations lasting between 8-10 minutes. Subjects contributed multiple conversational telephone speech recordings and audio recordings in which they were talking, plus a single selfie image. Recordings were manually audited to verify speaker, language, and quality. The corpus contains approximately 355 hours of CTS audio, 53 hours of AfV segments, 39 hours of video clips and 202 selfie images. The CTS data is presented as sphere files in 8kHz A-law format, AfV segments are presented as 16 kHz FLAC-compressed MS-WAV files, videos are presented in mp4 format. and images are presented in JPG format. In addition to the development and evaluation data, this corpus also contains answer keys, enrollment, trial files and documentation. *Samples* Please view these samples: * Mandarin Audio (flac) * Cantonese Audio (flac) * English Audio (flac) *Updates* No updates at this time. | |
| Extent: | Corpus size: 46000000 KB | |
| Format: | Sampling Rate: 8000 | |
| Sampling Format: alaw | ||
| Identifier: | LDC2025S11 | |
| https://catalog.ldc.upenn.edu/LDC2025S11 | ||
| ISLRN: 222-339-765-002-6 | ||
| DOI: 10.35111/d8rq-7s56 | ||
| Language: | Mandarin Chinese | |
| English | ||
| Yue Chinese | ||
| Language (ISO639): | cmn | |
| eng | ||
| yue | ||
| License: | LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf | |
| Medium: | Distribution: Web Download | |
| Publisher: | Linguistic Data Consortium | |
| Publisher (URI): | https://www.ldc.upenn.edu | |
| Relation (URI): | https://catalog.ldc.upenn.edu/docs/LDC2025S11 | |
| Rights Holder: | Portions © 2025 Trustees of the University of Pennsylvania | |
| Subject: | English language | |
| Yue Chinese language | ||
| Mandarin Chinese language | ||
| Subject (ISO639): | eng | |
| yue | ||
| cmn | ||
| Type (DCMI): | Image | |
| MovingImage | ||
| Sound | ||
| StillImage | ||
| Text | ||
| Type (OLAC): | primary_text | |
OLAC Info |
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| Archive: | The LDC Corpus Catalog | |
| Description: | http://www.language-archives.org/archive/www.ldc.upenn.edu | |
| GetRecord: | OAI-PMH request for OLAC format | |
| GetRecord: | Pre-generated XML file | |
OAI Info |
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| OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2025S11 | |
| DateStamp: | 2026-01-01 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Sadjadi, Omid; Greenberg, Craig; Walker, Kevin; Jones, Karen; Caruso, Christopher; Strassel, Stephanie. 2025. Linguistic Data Consortium. | |
| Terms: | area_Asia area_Europe country_CN country_GB dcmi_Image dcmi_MovingImage dcmi_Sound dcmi_StillImage dcmi_Text iso639_cmn iso639_eng iso639_yue olac_primary_text | |
Inferred Metadata | ||
| Country: | ChinaUnited Kingdom | |
| Area: | AsiaEurope | |