[Philadelphia, PA] : [Linguistic Data Consortium], [2018]
Physical Description
1 online resource
Local Notes
Access is available to the Yale community.
Notes
Applications: speech recognition.
Authors: Carlos Daniel Hernández Mena.
Data source: broadcast conversation.
LDC number: LDC2018S11.
In Spanish.
Title from resource home page (LDC website, viewed September 28, 2020).
Access and use
Access restricted by licensing agreement.
Summary
"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. 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. 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." --LDC online catalog.