Subject:
RE: #10097 Transcription Software Recommendations
Date:
October 22, 2013 9:13:33 AM CDT
Hi Sharon,
One way to approach this might be to have someone listen to the audio recording and simultaneously repeat it in real-time using Dragon Dictate (or, on the PC side, Dragon Naturally Speaking). Dragon sells French and "Latin American Spanish" language packs that
help extend its usability in an LRC.
This might not be applicable to your particular situation, Sharon, but a couple ideas for LLTIers more generally: because Dragon works best when a user has established a profile for themselves and uses it regularly, the ideal situation (from a transcription
accuracy perspective) might be to have a student worker establish a Dragon profile and be on-call to do transcriptions when the requests come in. This might be something your campus' Student Disability Services office might already do, or might be willing
to partner on creating. You could also have a workstation with Dragon installed that multiple people can access; to the best of my knowledge, there is no limit to the number of user profiles Dragon allows. So, the person who needs the audio transcribed could
set up their own profile and do it themselves (or, hire a student/TA from their own budget). This does mean a little more work up-front for the person requesting the transcription, but given how accurate Dragon can be, it would potentially save them the time
it takes to proofread and verify a transcript after it's been done automatically, or by someone else.
Another option would be to use Amazon's Mechanical Turk service to crowdsource the transcription process. This would give you pretty easy access to workers who speak a variety of language, and although it does come with a fee, it's reasonable and the quality
from what I've heard is very good. This method was written up in the Chronicle in 2010:
http://chronicle.com/blogs/profhacker/the-reliability-efficiencyaffordability-of-amazons-mechanical-turk/22994
Hope that's helpful,
Ryan
--
Ryan Brazell
Instructional Technology Specialist
Division of Teaching and Learning Technologies
University of Mary Washington
[log in to unmask]
(p) 540-654-1370
(t) @ryanbrazell
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