OLAC Record oai:www.ldc.upenn.edu:LDC2006S34 |
Metadata | ||
Title: | Russian through Switched Telephone Network (RuSTeN) | |
Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
Bibliographic Citation: | Raev, Anrey, et al. Russian through Switched Telephone Network (RuSTeN) LDC2006S34. Web Download. Philadelphia: Linguistic Data Consortium, 2006 | |
Contributor: | Raev, Anrey | |
Koval, Serguei | ||
Smirnova, Natalia | ||
Khitrova, Daria | ||
Stepanov, Vitaly | ||
Date (W3CDTF): | 2006 | |
Date Issued (W3CDTF): | 2006-07-21 | |
Description: | *Introduction* Russian through Switched Telephone Network (RuSTeN) was developed by the Speech Technology Center (STC) and consists of approximately 56 hours of Russian telephone speech. This corpus was developed as part of the Automatic Voice Identification System in Telephone Channel project. The purpose of the project was to develop software for automatic identification of speakers based on voice samples acquired through telephone channels. System training was performed with the RuSTeN corpus. *Data* The RuSTeN database was recorded between March 2001 and February 2003 by Speech Technology Center (STC) using the "forget-me-not" professional telephone recording and archiving software package developed by STC. Each of the speakers made at least five calls from different locations and/or telephone sets. Most of the calls were made from home or an office environment with uncontrolled noise level. Additionally, one call per speaker was made from a public telephone (with either street or metro station noise in the background). The recordings are spontaneous (sometimes guided by the near-end speaker) conversations between the caller and the speech database collector on various subjects (the weather, the caller's biography, hobbies, etc.) and include approximately 150 seconds of the far-end and at least five seconds of the near-end speaker. Besides, each time the caller was asked to utter the usual digits set (0-9) and the words "yes" and "no." The time interval between two successive sessions is at least two days. The database contains 125 speakers (far-end), 58 male and 67 female. Further demographic information can be found in the associated documentation. Each far-end speaker is represented by at least five speech files. The sound files were recorded in wav format with sample frequency 11,025 Hz, one-channel, 16-bit linear. The speech filenames contain the following information: FFF (far-end speaker number) and SS (session number). *Samples* For an example of the data in this corpus, please listen to this sample (WAV). *Updates* None at this time. | |
Extent: | Corpus size: 4404019 KB | |
Format: | Sampling Rate: 11025 | |
Sampling Format: 1-channel pcm | ||
Identifier: | LDC2006S34 | |
https://catalog.ldc.upenn.edu/LDC2006S34 | ||
ISBN: 1-58563-388-7 | ||
ISLRN: 301-264-944-856-8 | ||
DOI: 10.35111/bw5g-8741 | ||
Language: | Russian | |
Language (ISO639): | rus | |
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/LDC2006S34 | |
Rights Holder: | Portions © 2001 Speech Technology Center Limited, © 2006 Trustees of the University of Pennsylvania | |
Type (DCMI): | Sound | |
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:LDC2006S34 | |
DateStamp: | 2021-05-10 | |
GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
Citation: | Raev, Anrey; Koval, Serguei; Smirnova, Natalia; Khitrova, Daria; Stepanov, Vitaly. 2006. Linguistic Data Consortium. | |
Terms: | area_Europe country_RU dcmi_Sound iso639_rus olac_primary_text |