OLAC Record oai:www.ldc.upenn.edu:LDC2005S13

Metadata
Title:		Fisher English Training Part 2, Speech
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Cieri, Christopher, et al. Fisher English Training Part 2, Speech LDC2005S13. Web Download. Philadelphia: Linguistic Data Consortium, 2005
Contributor:		Cieri, Christopher
		Graff, David
		Kimball, Owen
		Miller, Dave
		Walker, Kevin
Date (W3CDTF):		2005
Date Issued (W3CDTF):		2005-04-15
Description:		*Introduction* Fisher English Training Part 2, Speech was developed by the Linguistic Data Consortium (LDC) and contains 975 hours of English conversational telephone speech (CTS). It contains 5,849 audio files, each one containing a full conversation of up to 10 minutes. The corresponding transcripts for these speech files are available in Fisher English Training Part 2, Transcripts (LDC2005T19), which includes additional information regarding the speakers involved, and types of telephones used. These two corpora represent the second half of a CTS collection that was created at LDC during 2003. The first half of the collection, released in 2004, comprises Fisher English Training Speech Part 1 Speech (LDC2004S13) and Fisher English Training Speech Part 1 Transcripts (LDC2004T19). Taken as a whole, the two parts contain 11,699 recorded telephone conversations totalling approximately 1,960 hours. The Fisher telephone conversation collection protocol was created at LDC to address a critical need of developers trying to build robust automatic speech recognition (ASR) systems. Previous collection protocols, such as CALLFRIEND and Switchboard-II and the resulting corpora, have been adapted for ASR research but were in fact developed for language and speaker identification respectively. Although the CALLHOME protocol and corpora were developed to support ASR technology, they feature small numbers of speakers making telephone calls of relatively long duration with narrow vocabulary across the collection. CALLHOME conversations are challengingly natural and intimate. The Fisher protocol uses a large number of participants, and each one converses with another participant, whom they typically do not know, for a short period of time to discuss the assigned topics. This maximizes inter-speaker variation and vocabulary breadth while also increasing formality. Previous protocols such as CALLHOME, CALLFRIEND, and Switchboard relied on participant activity to drive the collection. Fisher is unique in being platform-driven rather than participant-driven. Participants who wish to initiate a call may do so, however, the collection platform initiates the majority of calls. Participants need only answer their phones at the times they specified when registering for the study. To encourage a broad range of vocabulary, Fisher participants are asked to speak on an assigned topic randomly selected from a list, which changes every 24 hours and is assigned to all subjects paired on that day. Some topics are inherited or refined from previous Switchboard studies while others were developed specifically for the Fisher protocol. *Data* The individual audio files are presented in NIST SPHERE format, and contain two-channel mu-law sample data with both call sides. Shorten compression has been applied to all files. For the entire collection, here is the gender breakdown for the participants: 6,813 females, 5,104 males. The telephone calls were recorded digitally from a T-1 trunk line that terminates at a host computer at the LDC (the "robot-operator"). The T-1 telephone circuit dedicated to Fisher English collection was configured so that some lines would service people who dialed in to the system while other lines would be used for dialing out to people according to their hours of availability, as provided in the enrollment process. Whenever any two active lines (dial-in or dial-out) reached a point where the callees were ready to proceed with a conversation, the robot operator bridged the two lines, announced the topic of the day to both parties, and began recording by copying the digital mu-law sample data from each line directly to disk files. Data collection and transcription were sponsored by DARPA and the U.S. Department of Defense, as part of the EARS project for research and development in automatic speech recognition. *Samples* For an example of the data in this corpus, please listen to this sample (WAV). *Updates* None at this time.
Extent:		Corpus size: 29643984 KB
Format:		Sampling Rate: 8000
		Sampling Format: 2-channel ulaw
Identifier:		LDC2005S13
		https://catalog.ldc.upenn.edu/LDC2005S13
		ISBN: 1-58563-335-6
		ISLRN: 050-970-085-362-2
		DOI: 10.35111/dz78-gx84
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/LDC2005S13
Rights Holder:		© 2003-2005 Trustees of the University of Pennsylvania
Type (DCMI):		Sound
Type (OLAC):		primary_text
OLAC Info
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
OaiIdentifier:		oai:www.ldc.upenn.edu:LDC2005S13
DateStamp:		2022-01-20
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Cieri, Christopher; Graff, David; Kimball, Owen; Miller, Dave; Walker, Kevin. 2005. Linguistic Data Consortium.
Terms:		area_Europe country_GB dcmi_Sound iso639_eng olac_primary_text