Extraction of displayed objects corresponding to demonstrative words for use in remote transcription
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
E-Scribe: ubiquitous real-time speech transcription for the hearing-impaired
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
The design of human-powered access technology
The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part I
Cloud-Based assistive speech-transcription services
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
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Deaf or hard-of-hearing students who attend lessons at university acquire much less information than students with normal hearing. The captionist (transcriptionist) listens to the teacher and "re-speaks" (repeats exactly what is heard) what the teacher says. The clear and distinct speech that is repeated by the captionist is sent to the automatic speech recognition (ASR) software installed on a personal computer, which performs "speech-to-text conversion". However, it is not easy to "re-speak". The results of the research suggest that listening through headphones with superior sound-proofing features enables captionists to sustain re-speak ability compared with listening directly. These facts indicate that the recognition accuracy of existing ASR technologies could be maintained.