OLAC Record oai:www.ldc.upenn.edu:LDC2025S10

Metadata
Title:		AnnoDIFP CTS Audio and Transcripts
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. AnnoDIFP CTS Audio and Transcripts LDC2025S10. Web Download. Philadelphia: Linguistic Data Consortium, 2025
Contributor:		Cieri, Christopher
		Fiumara, James
		Walker, Kevin
		Ryant, Neville
		Liberman, Mark
Date (W3CDTF):		2025
Date Issued (W3CDTF):		2025-11-17
Description:		*Introduction* AnnoDIFP (Annotated Data for the Investigation of Facets of Personality) CTS (Conversational Telephone Speech) Audio and Transcripts was developed by the Linguistic Data Consortium (LDC), the Florida Institute of Technology and the University of New Haven to support algorithm development for predicting personality traits. It contains 242.52 hours of English audio and transcripts from 1,179 telephone calls involving 327 participants paired with scores from two self-reported personality assessments, HEXACO Personality Inventory (Revised) (HEXACO-PI-R) and Short Dark Triad (SD3). Survey and behavioral data were collected in three phases. Phase 1 consisted of online questionnaires. Selected participants were invited to participate in Phase 2a, collecting behavioral and linguistic data in a laboratory setting. In Phase 2b, participants engaged in a telephone speech collection. This release covers the activities in Phase 2b. The data collected in Phase 2a is contained in AnnoDIFP Session Audio and Transcripts (LDC2025S06). *Data* Telephone calls were collected using LDC's robot-operator platform. The operator called participants every 24 hours during their indicated availability and paired them with another participant to speak on a prompted topic for 10 minutes. Further details on collection methodology are contained in the documentation accompanying this release. There were a total of 327 participants in Phase 2b. This corpus contains audio and transcripts for 277 participants and transcripts only for 50 participants. Speech data is presented as 16 kHz, 16-bit mono-channel FLAC-compressed MS-WAV files. Transcripts were produced automatically using the Rev.ai speech-to-text service. Text data is UTF-8 encoded. *Samples* Please view these samples: * Audio (flac) * Transcript (tsv) *Updates* No updates at this time.
Extent:		Corpus size: 13000000 KB
Format:		Sampling Rate: 16000
		Sampling Format: 16-bit FLAC
Identifier:		LDC2025S10
		https://catalog.ldc.upenn.edu/LDC2025S10
		ISLRN: 374-951-679-757-4
		DOI: 10.35111/5m3m-m396
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/LDC2025S10
Rights Holder:		Portions © 2021, 2022, 2025 Trustees of the University of Pennsylvania
Subject:		English language
Subject (ISO639):		eng
Type (DCMI):		Sound
		Text
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:LDC2025S10
DateStamp:		2026-01-01
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Cieri, Christopher; Fiumara, James; Walker, Kevin; Ryant, Neville; Liberman, Mark. 2025. Linguistic Data Consortium.
Terms:		area_Europe country_GB dcmi_Sound dcmi_Text iso639_eng olac_primary_text
Inferred Metadata
Country:		United Kingdom
Area:		Europe