OLAC Record oai:www.ldc.upenn.edu:LDC2017S04 |
Metadata | ||
Title: | Noisy TIMIT Speech | |
Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
Bibliographic Citation: | Abdulaziz, Azhar, and Veton Kepuska. Noisy TIMIT Speech LDC2017S04. Web Download. Philadelphia: Linguistic Data Consortium, 2017 | |
Contributor: | Abdulaziz, Azhar | |
Kepuska, Veton | ||
Date (W3CDTF): | 2017 | |
Date Issued (W3CDTF): | 2017-03-17 | |
Description: | *Introduction* Noisy TIMIT Speech was developed by the Florida Institute of Technology and contains approximately 322 hours of speech from the TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1) modified with different additive noise levels. Only the audio has been modified; the original arrangement of the TIMIT corpus is still as described by the TIMIT documentation. *Data* The additive noise are white, pink, blue, red, violet and babble noise with noise levels varying in 5 dB (decibel) steps and ranges from 5 to 50 dB. The color of noise refers to the power spectrum of a noise signal. Sound waves have two characteristics: frequency, which describes how fast the waveform vibrates per second; and amplitude, the size of the waveform. Colored noises are named in an analogy to the colors of light. For instance, white noise contains all audible frequencies just as white light contains all frequencies in the visible range. Non-white colored noises have more energy concentrated at the high or low end of the sound spectrum. White, pink and blue noise are officially defined in the federal telecommunications standard. The white, pink, blue, red and violet noise types added to the TIMIT data in this release were generated artificially using MATLAB. For the babble noise, a random segment of recorded babble speech was selected and scaled relative to the power of the original TIMIT audio signal. All audio files are presented as single channel 16kHz 16-flac. *Samples* Please listen to the following samples: * 5db Babble * 15db Blue * 25db Pink * 35db Red * 45db Violet * 50db White *Updates* None at this time. *Related Works incorporating TIMIT* TIMIT was designed to provide speech data for acoustic-phonetic studies and for the development and evaluation of automatic speech recognition systems. Since its release in 1993, several corpora have been developed using the TIMIT database: NTIMIT (LDC93S2): transmitting TIMIT recordings through a telephone handset and over various channels in the NYNEX telephone network CTIMIT (LDC96S30): passing TIMIT files through cellular telephone circuits FFMTIMIT (LDC96S32): re-recording TIMIT files with a free-field microphone HTIMIT (LDC98S67): re-recording a subset of TIMIT files throgh different telephone handsets STC-TIMIT (LDC2008S03): passing TIMIT files through an actual telephone channel in a single call WTIMIT 1.0 (LDC2010S02): wideband mobile telephony TIMIT version | |
Extent: | Corpus size: 21108664 KB | |
Format: | Sampling Rate: 16000 | |
Sampling Format: flac | ||
Identifier: | LDC2017S04 | |
https://catalog.ldc.upenn.edu/LDC2017S04 | ||
ISBN: 1-58563-793-9 | ||
ISLRN: 107-834-092-668-3 | ||
DOI: 10.35111/m440-jj35 | ||
Language: | English | |
Language (ISO639): | eng | |
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/LDC2017S04 | |
Rights Holder: | Portions © 2017 Florida Institute of Technology, © 1993, 2017 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:LDC2017S04 | |
DateStamp: | 2020-11-30 | |
GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
Citation: | Abdulaziz, Azhar; Kepuska, Veton. 2017. Linguistic Data Consortium. | |
Terms: | area_Europe country_GB dcmi_Sound iso639_eng olac_primary_text |