Accessible lectures: moving towards automatic speech recognition models based on human methods

Miltiades Papadopoulos; Elaine Pearson

doi:10.1145/1414471.1414534

Accessible lectures: moving towards automatic speech recognition models based on human methods

Miltiades Papadopoulos, Elaine Pearson

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Abstract

The traditional lecture remains the most common method of teaching and while it is the most convenient from a delivery point of view, it is the least flexible and accessible. This paper responds to the challenge of meeting the needs and access requirements of students with disabilities by urging further adaptations in the learning environment. The aim of this work is to explore the way speech recognition technology can be employed in the University classroom to make lectures more flexible and accessible. The concluding section explores the concept of an ASR model, based on principles derived from studies of human methods of recognition, in order to increase their performance and efficiency.
TYPE:

Original language	English
Pages	273
DOIs	https://doi.org/10.1145/1414471.1414534
Publication status	Published - 2008
Event	The 10th international ACM SIGACCESS conference - Halifax, Nova Scotia, Canada Duration: 13 Oct 2008 → 15 Oct 2008 Conference number: 10

Conference

Conference	The 10th international ACM SIGACCESS conference
Country/Territory	Canada
City	Nova Scotia
Period	13/10/08 → 15/10/08

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10.1145/1414471.1414534Licence: CC BY-NC-ND

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AB - The traditional lecture remains the most common method of teaching and while it is the most convenient from a delivery point of view, it is the least flexible and accessible. This paper responds to the challenge of meeting the needs and access requirements of students with disabilities by urging further adaptations in the learning environment. The aim of this work is to explore the way speech recognition technology can be employed in the University classroom to make lectures more flexible and accessible. The concluding section explores the concept of an ASR model, based on principles derived from studies of human methods of recognition, in order to increase their performance and efficiency.TYPE:

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Accessible lectures: moving towards automatic speech recognition models based on human methods

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