OLAC Record oai:www.ldc.upenn.edu:LDC2019S07

Metadata
Title:		CIEMPIESS Experimentation
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. CIEMPIESS Experimentation LDC2019S07. Web Download. Philadelphia: Linguistic Data Consortium, 2019
Contributor:		Hernández Mena, Carlos Daniel
Date (W3CDTF):		2019
Date Issued (W3CDTF):		2019-05-15
Description:		*Introduction* CIEMPIESS (Corpus de Investigación en Español de México del Posgrado de Ingeniería Eléctrica y Servicio Social) Experimentation was developed by the social service program "Desarrollo de Tecnologías del Habla" of the "Facultad de Ingeniería" (FI) at the National Autonomous University of Mexico (UNAM) and consists of approximately 22 hours of Mexican Spanish broadcast and read speech with associated transcripts. 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. CIEMPIESS Experimentation is a set of three different data sets, specifically Complementary, Fem and Test. Complementary is a phonetically-balanced corpus of isolated Spanish words spoken in Central Mexico. Fem contains broadcast speech from 21 female speakers, collected to balance by gender the number of recordings from male speakers in other CIEMPIESS collections. Test consists of 10 hours of broadcast speech and transcripts and is intended for use as a standard test data set alongside other CIEMPIESS corpora. See the included documentation for more details on each corpus. LDC has released the following data sets in the CIEMPIESS series: * CIEMPIESS (LDC2015S07) * CHM150 (LDC2016S04) * CIEMPIESS Light (LDC2017S23) * CIEMPIESS Balance (LDC2018S11) *Data* The majority of the speech recordings in Fem and Test were collected from Radio-IUS, a UNAM radio station. Other recordings were taken from IUS Canal Multimedia and Centro Universitario de Estudios Jurídicos (CUEJ UNAM). Those two channels feature videos with speech around legal issues and topics related to UNAM. The Complementary recordings consist of read speech collected for that corpus. Complementary includes specifications for creating transcripts using the phonetic alphabet Mexbet and for converting Mexbet output to the International Phonetic Alphabet and X-SAMPA. An automatic phonetizer for Mexbet, written in Python 2.7, to create pronouncing dictionaries is provided as well. The audio files are presented as 16 kHz, 16-bit PCM flac format for this release. Transcripts are presented as UTF-8 encoded plain text. *Samples* Please view this audio sample and transcript sample. *Acknowledgements* The authors thank Alejandro V. Mena, Elena Vera and Angélica Gutiérrez for their support for the social service program "Desarrollo de Tecnologías del Habla", and they thank the social service students for their work. Thanks also to Susana Alejandra Jiménez Sandoval from the "Facultad de Filosofía y Letras de la UNAM" for recording the utterances in Complementary. Special thanks to Lic. Cesar Gabriel Alanis Merchand and Mtro. Ricardo Rojas Arevalo from the "Facultad de Derecho de la UNAM" for donating most of the recordings for the Test and Fem data sets. *Updates* None at this time.
Extent:		Corpus size: 1639888 KB
Format:		Sampling Rate: 16000
		Sampling Format: pcm
Identifier:		LDC2019S07
		https://catalog.ldc.upenn.edu/LDC2019S07
		ISBN: 1-58563-884-6
		ISLRN: 139-696-537-175-5
		DOI: 10.35111/xdx5-n815
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
Publisher:		Linguistic Data Consortium
Publisher (URI):		https://www.ldc.upenn.edu
Relation (URI):		https://catalog.ldc.upenn.edu/docs/LDC2019S07
Rights Holder:		Portions © 2019 Carlos Daniel Hernández Mena, © 2019 Universidad Nacional Autónoma de México, © 2019 Trustees of the University of Pennsylvania
Type (DCMI):		Software
		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:LDC2019S07
DateStamp:		2021-07-26
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Hernández Mena, Carlos Daniel. 2019. Linguistic Data Consortium.
Terms:		area_Europe country_ES dcmi_Software dcmi_Sound dcmi_Text iso639_spa olac_primary_text