Captioning Multiple Speakers using Speech Recognition to Assist Disabled People
Captioning Multiple Speakers using Speech Recognition to Assist Disabled People
Meetings and seminars involving many people speaking can be some of the hardest situations for deaf people to be able to follow what is being said and also for people with physical, visual or cognitive disabilities to take notes or remember key points. People may also be absent during important interactions or they may arrive late or leave early. Real time captioning using phonetic keyboards can provide an accurate live as well as archived transcription of what has been said but is often not available because of the cost and shortage of highly skilled and trained stenographers. This paper describes the development of applications that use speech recognition to provide automatic real time text transcriptions in situations when there can be many people speaking.
1 Introduction
617-623
wald, mike
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Miesenberger, Klaus
102d492e-6d25-4f20-ba06-aa3a1cfa008f
Klaus, Joachim
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Zagler, Wolfgang
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Karshmer, Arthur
81dd0b1e-cd8f-4fc9-bedf-b6704cc517b0
July 2008
wald, mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Miesenberger, Klaus
102d492e-6d25-4f20-ba06-aa3a1cfa008f
Klaus, Joachim
929816f5-eb9a-45c7-b9c8-a39b3cff3c2d
Zagler, Wolfgang
6d65b53d-0a8f-4101-a178-51274aaa41ac
Karshmer, Arthur
81dd0b1e-cd8f-4fc9-bedf-b6704cc517b0
wald, mike
,
Miesenberger, Klaus, Klaus, Joachim, Zagler, Wolfgang and Karshmer, Arthur
(eds.)
(2008)
Captioning Multiple Speakers using Speech Recognition to Assist Disabled People.
Lecture Notes in Computer Science, .
Abstract
Meetings and seminars involving many people speaking can be some of the hardest situations for deaf people to be able to follow what is being said and also for people with physical, visual or cognitive disabilities to take notes or remember key points. People may also be absent during important interactions or they may arrive late or leave early. Real time captioning using phonetic keyboards can provide an accurate live as well as archived transcription of what has been said but is often not available because of the cost and shortage of highly skilled and trained stenographers. This paper describes the development of applications that use speech recognition to provide automatic real time text transcriptions in situations when there can be many people speaking.
1 Introduction
Text
icchp08multispeakercameraready.pdf
- Accepted Manuscript
More information
Published date: July 2008
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 266630
URI: http://eprints.soton.ac.uk/id/eprint/266630
ISSN: 0302-9743
PURE UUID: cb0b26c3-0dfb-4227-9ce8-a89cc4f5a126
Catalogue record
Date deposited: 08 Sep 2008 13:40
Last modified: 14 Mar 2024 08:32
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Contributors
Author:
mike wald
Editor:
Klaus Miesenberger
Editor:
Joachim Klaus
Editor:
Wolfgang Zagler
Editor:
Arthur Karshmer
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