OLAC Record oai:www.ldc.upenn.edu:LDC2025S04

Metadata
Title:		BOLT CTS CALLFRIEND CALLHOME Mainland Mandarin Chinese Audio
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Tracey, Jennifer, et al. BOLT CTS CALLFRIEND CALLHOME Mainland Mandarin Chinese Audio LDC2025S04. Web Download. Philadelphia: Linguistic Data Consortium, 2025
Contributor:		Tracey, Jennifer
		Graff, David
		Chen, Song
		Strassel, Stephanie
Date (W3CDTF):		2025
Date Issued (W3CDTF):		2025-05-15
Description:		*Introduction* BOLT CTS CALLFRIEND CALLHOME Mainland Mandarin Chinese Audio was developed by the Linguistic Data Consortium (LDC) and consists of approximately 93 hours of speech from 236 unscripted telephone conversations between native speakers of the Mandarin Chinese dialect spoken in mainland China. 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 Chinese source conversational telephone speech. The telephone data was 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* The majority of the recordings in this corpus (141 calls, approximately 60%) are publicly released for the first time. The remainder (95 recordings, approximately 40%) were previously published in various CALLFRIEND, CALLHOME and HUB5 Mandarin 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 170 71.28 dev 18 4.12 eval 48 18.48 total 236 93.88 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* There are no updates at this time.
Extent:		Corpus size: 3700000 KB
Format:		Sampling Rate: 8000
		Sampling Format: 16-bit
Identifier:		LDC2025S04
		https://catalog.ldc.upenn.edu/LDC2025S04
		ISLRN: 319-237-059-416-8
		DOI: 10.35111/d6y0-25s04
Language:		Mandarin Chinese
Language (ISO639):		cmn
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
Rights Holder:		Portions © 1996, 1997, 1998, 2002, 2018, 2025 Trustees of the University of Pennsylvania
Type (DCMI):		Sound
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:LDC2025S04
DateStamp:		2025-05-15
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Tracey, Jennifer; Graff, David; Chen, Song; Strassel, Stephanie. 2025. Linguistic Data Consortium.
Terms:		area_Asia country_CN dcmi_Sound iso639_cmn