OLAC Record

Title:RATS Speech Activity Detection
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Walker, Kevin, et al. RATS Speech Activity Detection LDC2015S02. Web Download. Philadelphia: Linguistic Data Consortium, 2015
Contributor:Walker, Kevin
Ma, Xiaoyi
Graff, David
Strassel, Stephanie
Sessa, Stephanie
Jones, Karen
Date (W3CDTF):2015
Date Issued (W3CDTF):2015-02-16
Description:*Introduction* RATS Speech Activity Detection was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 350 hours of Levantine Arabic, English, Farsi, Pashto, and Urdu conversational telephone speech with automatic and manual annotation of speech segments. The audio was retransmitted over eight channels, making 3,000 hours of total audio. The corpus was created to provide training, development and initial test sets for the Speech Activity Detection (SAD) task in the DARPA RATS (Robust Automatic Transcription of Speech) program. The goal of the RATS program was to develop human language technology systems capable of performing speech detection, language identification, speaker identification and keyword spotting on the severely degraded audio signals that are typical of various radio communication channels, especially those employing various types of handheld portable transceiver systems. To support that goal, LDC assembled a system for the transmission, reception and digital capture of audio data that allowed a single source audio signal to be distributed and recorded over eight distinct transceiver configurations simultaneously. Those configurations included three frequencies -- high, very high and ultra high -- variously combined with amplitude modulation, frequency hopping spread spectrum, narrow-band frequency modulation, single-side-band or wide-band frequency modulation. Annotations on the clear source audio signal, e.g., time boundaries for the duration of speech activity, were projected onto the corresponding eight channels recorded from the radio receivers. *Data* The source audio consists of conversational telephone speech recordings collected by LDC: (1) data collected for the RATS program from Levantine Arabic, Farsi, Pashto and Urdu speakers; and (2) material from the Fisher English (LDC2004S13, LDC2005S13), and Fisher Levantine Arabic telephone studies (LDC2007S02), as well as from CALLFRIEND Farsi (LDC2014S01). Annotation was performed in three steps. LDC's automatic speech activity detector was run against the audio data to produce a speech segmentation for each file. Manual first pass annotation was then performed as a quick correction of the automatic speech activity detection output. Finally, in a manual second pass annotation step, annotators reviewed first pass output and made adjustments to segments as needed. All audio files are presented as single-channel, 16-bit PCM, 16000 samples per second; lossless FLAC compression is used on all files; when uncompressed, the files have typical "MS-WAV" (RIFF) file headers. *Samples* Please view this audio sample and annotation sample. *Updates* None at this time. *Acknowledgment* This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. D10PC20016. The content does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.
Extent:Corpus size: 157134216 KB
Format:Sampling Rate: 16000
Sampling Format: pcm
ISBN: 1-58563-706-8
ISLRN: 648-931-730-249-1
DOI: 10.35111/x1mr-fq11
Language:South Levantine Arabic
North Levantine Arabic
Language (ISO639):ajp
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/LDC2015S02
Rights Holder:Portions © 2015 Trustees of the University of Pennsylvania
Type (DCMI):Sound
Type (OLAC):primary_text


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Citation: Walker, Kevin; Ma, Xiaoyi; Graff, David; Strassel, Stephanie; Sessa, Stephanie; Jones, Karen. 2015. Linguistic Data Consortium.
Terms: area_Asia area_Europe country_GB country_JO country_PK country_SY dcmi_Sound dcmi_Text iso639_ajp iso639_apc iso639_eng iso639_fas iso639_pus iso639_urd olac_primary_text

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