oai:www.ldc.upenn.edu:LDC2025S09
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OLAC Record oai:www.ldc.upenn.edu:LDC2025S09 |
| Metadata | ||
| Title: | BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Audio | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Graff, David, Song Chen, and Stephanie Strassel. BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Audio LDC2025S09. Web Download. Philadelphia: Linguistic Data Consortium, 2025 | |
| Contributor: | Graff, David | |
| Chen, Song | ||
| Strassel, Stephanie | ||
| Date (W3CDTF): | 2025 | |
| Date Issued (W3CDTF): | 2025-10-15 | |
| Description: | *Introduction* BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Audio was developed by the Linguistic Data Consortium (LDC) and consists of approximately 116 hours of speech from 274 unscripted telephone conversations between native speakers of the Arabic dialect spoken in Egypt. The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. LDC supported the BOLT program by collecting informal data sources -- discussion forums, conversational telephone speech, text messaging and chat -- in Chinese, Egyptian Arabic and English. The material in this release represents the unannotated Egyptian Arabic source conversational telephone speech. The telephone data was subseqently transcribed, translated, and annotated for various tasks in the BOLT program including word alignment, treebanking, and co-reference. CALLFRIEND and CALLHOME were collections of multilingual telephone speech conducted by LDC in support of language identification and speech identification technology development. *Data* Many of the recordings in this corpus (92 calls, approximately 33%) are publicly released for the first time. The remainder (182 recordings, approximately 66%) were previously published in various CALLFRIEND, CALLHOME and HUB5 Arabic datasets. All calls originated in North America and were placed to locations overseas. Most participants called family members or close friends. Participants spoke on topics of their choice. Conversations lasted up to 30 minutes. Completed calls passed through a human auditing process to verify that the target language was spoken by the participants, to check the quality of the recordings, and to record information about dialect, noise and distortion. The data is divided into training, development, and evaluation partitions as follows: Partition Audio Files Total Hours train 203 89.16 dev 16 5.58 eval 55 21.58 total 274 116.32 Audio files are presented in FLAC-compressed MS-WAV/RIFF format; they are two-channel, 16-bit sample data (converted from original mu-law samples) at 8000 samples/second. The audio is contained in two interleaved channels per file representing the two independently recorded sides of the telephone conversation. *Samples* Please listen to this speech sample (.flac) *Acknowledgement* This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-11-C-0145. The content does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred. *Updates* No updates at this time. | |
| Extent: | Corpus size: 4673345 KB | |
| Format: | Sampling Rate: 8000 | |
| Sampling Format: 16-bit | ||
| Identifier: | LDC2025S09 | |
| https://catalog.ldc.upenn.edu/LDC2025S09 | ||
| ISLRN: 475-316-977-261-3 | ||
| DOI: 10.35111/6ah6-a104 | ||
| Language: | Egyptian Arabic | |
| Language (ISO639): | arz | |
| 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/LDC2025S09 | |
| Rights Holder: | Portions © 1996, 1997, 1999, 2002, 2014, 2019, 2025 Trustees of the University of Pennsylvania | |
| Subject: | Egyptian Arabic language | |
| English language | ||
| Subject (ISO639): | arz | |
| eng | ||
| Type (DCMI): | Sound | |
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:LDC2025S09 | |
| DateStamp: | 2025-10-15 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Graff, David; Chen, Song; Strassel, Stephanie. 2025. Linguistic Data Consortium. | |
| Terms: | area_Africa area_Europe country_EG country_GB dcmi_Sound iso639_arz iso639_eng | |
Inferred Metadata | ||
| Country: | EgyptUnited Kingdom | |
| Area: | AfricaEurope | |