Literacy by Way of Automatic Speech Recognition

Literacy by Way of Automatic Speech Recognition

Russell Gluck, John Fulcher
ISBN13: 9781599049410|ISBN10: 1599049414|EISBN13: 9781599049427
DOI: 10.4018/978-1-59904-941-0.ch121
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MLA

Gluck, Russell, and John Fulcher. "Literacy by Way of Automatic Speech Recognition." Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications, edited by Vijayan Sugumaran, IGI Global, 2008, pp. 2074-2118. https://doi.org/10.4018/978-1-59904-941-0.ch121

APA

Gluck, R. & Fulcher, J. (2008). Literacy by Way of Automatic Speech Recognition. In V. Sugumaran (Ed.), Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications (pp. 2074-2118). IGI Global. https://doi.org/10.4018/978-1-59904-941-0.ch121

Chicago

Gluck, Russell, and John Fulcher. "Literacy by Way of Automatic Speech Recognition." In Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications, edited by Vijayan Sugumaran, 2074-2118. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-941-0.ch121

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Abstract

The chapter commences with an overview of automatic speech recognition (ASR), which covers not only the de facto standard approach of hidden Markov models (HMMs), but also the tried-and-proven techniques of dynamic time warping and artificial neural networks (ANNs). The coverage then switches to Gluck’s (2004) draw-talk-write (DTW) process, developed over the past two decades to assist non-text literate people become gradually literate over time through telling and/or drawing their own stories. DTW has proved especially effective with “illiterate” people from strong oral, storytelling traditions. The chapter concludes by relating attempts to date in automating the DTW process using ANN-based pattern recognition techniques on an Apple Macintosh G4™ platform.

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