oai:www.ldc.upenn.edu:LDC2018S11
| |
OLAC Record oai:www.ldc.upenn.edu:LDC2018S11 |
| Metadata | ||
| Title: | CIEMPIESS Balance | |
| 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 Balance LDC2018S11. Web Download. Philadelphia: Linguistic Data Consortium, 2018 | |
| Contributor: | Hernández Mena, Carlos Daniel | |
| Date (W3CDTF): | 2018 | |
| Date Issued (W3CDTF): | 2018-08-15 | |
| Description: | *Introduction* CIEMPIESS (Corpus de Investigación en Español de México del Posgrado de Ingeniería Eléctrica y Servicio Social) Balance was developed by the Development of Speech Technologies program at the School of Engineering at the National Autonomous University of Mexico (UNAM) and consists of approximately 18 hours of Mexican Spanish broadcast 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 Balance is a companion corpus to CIEMPIESS Light, released by LDC as LDC2017S23. It was developed so that the data sets together constitute a gender-balanced corpus. The gender breakdown in CIEMPIESS Light is approximately 75% male and 25% female. In CIEMPIESS Balance the gender breakdown is approximately 25% male and 75% female. LDC has released the following data sets in the CIEMPIESS series: * CIEMPIESS (LDC2015S07) * CHM150 (LDC2016S04) * CIEMPIESS Light (LDC2017S23) * CIEMPIESS Experimentation (LDC2019S07) *Data* The majority of the speech recordings 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). These two channels feature videos with speech around legal issues and topics related to UNAM. 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 speech sample and transcript sample. *Acknowledgements* The authors would like to thank to Alejandro V. Mena, Elena Vera and Angélica Gutiérrez for their support to the social service program: "Desarrollo de Tecnologías del Habla." They also thank the social service students for their hard work. *Updates* None at this time. | |
| Extent: | Corpus size: 1339280 KB | |
| Format: | Sampling Rate: 16000 | |
| Sampling Format: pcm | ||
| Identifier: | LDC2018S11 | |
| https://catalog.ldc.upenn.edu/LDC2018S11 | ||
| ISBN: 1-58563-854-4 | ||
| ISLRN: 304-456-056-609-5 | ||
| DOI: 10.35111/rfmw-n126 | ||
| 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/LDC2018S11 | |
| Rights Holder: | Portions © 2018 Carlos Daniel Hernández Mena, © 2018 Universidad Nacional Autónoma de México, © 2018 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:LDC2018S11 | |
| DateStamp: | 2021-07-26 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Hernández Mena, Carlos Daniel. 2018. Linguistic Data Consortium. | |
| Terms: | area_Europe country_ES dcmi_Sound dcmi_Text iso639_spa olac_primary_text | |