OLAC Record oai:www.ldc.upenn.edu:LDC2015S07

Metadata
Title:		CIEMPIESS
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Hernández Mena, Carlos Daniel, and Abel Herrera. CIEMPIESS LDC2015S07. Web Download. Philadelphia: Linguistic Data Consortium, 2015
Contributor:		Hernández Mena, Carlos Daniel
		Herrera, Abel
Date (W3CDTF):		2015
Date Issued (W3CDTF):		2015-06-15
Description:		*Introduction* CIEMPIESS (Corpus de Investigación en Español de México del Posgrado de Ingeniería Eléctrica y Servicio Social) was developed by the Speech Processing Laboratory of the Faculty of Engineering at the National Autonomous University of Mexico (UNAM) and consists of approximately 18 hours of Mexican Spanish radio speech, associated transcripts, pronouncing dictionaries and language models. The goal of this work was to create acoustic models for automatic speech recognition. For more information and documentation see the CIEMPIESS-UNAM Project website. LDC has released the following data sets in the CIEMPIESS series: * CHM150 (LDC2016S04) * CIEMPIESS Light (LDC2017S23) * CIEMPIESS Balance (LDC2018S11) * CIEMPIESS Experimentation (LDC2019S07) *Data* The speech recordings are from 43 one-hour FM radio programs broadcast by Radio IUS, a UNAM radio station. They are comprised of spontaneous conversations between a radio moderator and guests, principally about legal issues. Approximately 78% of the speakers were males, and 22% of the speakers were females. The audio was recorded in MP3 stereo format, using a 44.1 kHz sample rate and a bit-rate of 128 kbps or higher. Only "clean" utterances were selected from the raw data, meaning that the utterances were made by one only person with no background noises, whispers, music, foreign accents, white noise or static. The audio files were converted to 16 kHz, 16-bit PCM WAV format for this release. The recordings were transcibed using PRAAT, a tool designed for phonetics research. The transcripts are in Mexbet, a phonetic alphablet designed for Mexican Spanish based on Worldbet (Hieronymus, 1994). Plain text transcripts, textgrid format time labels and files useful for performing experiments with the SPHINX3 recognition software are also included. *Samples* Please view this audio sample and transcript sample. *Updates* None at this time.
Extent:		Corpus size: 2478760 KB
Format:		Sampling Rate: 16000
		Sampling Format: pcm
Identifier:		LDC2015S07
		https://catalog.ldc.upenn.edu/LDC2015S07
		ISBN: 1-58563-720-3
		ISLRN: 838-468-581-053-6
		DOI: 10.35111/32r7-8k96
Language:		Spanish
Language (ISO639):		spa
License:		LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:		Distribution: Web Download
Provenance:		Collected by the Speech Processing Laboratory of the Faculty of Enegineering (FI) at the National Autonomous University of Mexico (UNAM) in Mexico City, Mexico.
Publisher:		Linguistic Data Consortium
Publisher (URI):		https://www.ldc.upenn.edu
Relation (URI):		https://catalog.ldc.upenn.edu/docs/LDC2015S07
Rights Holder:		Portions © 2015 Carlos Daniel Hernández Mena, © 2014 Universidad Nacional Autónoma de México, © 2015 Trustees of the University of Pennsylvania
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:LDC2015S07
DateStamp:		2021-07-26
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Hernández Mena, Carlos Daniel; Herrera, Abel. 2015. Linguistic Data Consortium.
Terms:		area_Europe country_ES dcmi_Sound dcmi_Text iso639_spa olac_primary_text