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APPROACHES AND BEST PRACTICES: Data Collection of Audio Dialogues to Support the Training of Speech-to-Speech Translation Systems

Published

Author(s)

Brian A. Weiss, Craig I. Schlenoff, Ann M. Virts

Abstract

The purpose of this document is to describe the best practices that personnel from the National Institute of Standards and Technology (NIST) have developed and implemented to efficiently and effectively capture two-way, free-form speech-to-speech audio dialogues within recording studios. These dialogues, produced to support the development and evaluation of machine translation technologies, are conducted by English and foreign language speakers conversing with one another in their native languages through the mediation of an interpreter. NIST personnel have collected over 500 hours of bilingual audio data sets encompassing more than 1100 dialogues across three unique language pairs (English/Iraqi-Arabic, English/Dari, and English/Pashto) since it became involved in this work in 2007. This document will present the methods the NIST team has designed and employed allowing the successful capture of audio data. In addition to the data collection protocols including personnel training and workflow, data collection scenario generation and speaker recruitment protocols will be discussed.
Citation
NIST Interagency/Internal Report (NISTIR) - 7712
Report Number
7712

Keywords

Speech-to-speech translation systems, data collection

Citation

Weiss, B. , Schlenoff, C. and Virts, A. (2010), APPROACHES AND BEST PRACTICES: Data Collection of Audio Dialogues to Support the Training of Speech-to-Speech Translation Systems, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=905565 (Accessed April 12, 2024)
Created June 25, 2010, Updated February 19, 2017