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Subject:

Re: Voice Recognition Software for transcribing interviews

From:

Sai Deng <[log in to unmask]>

Reply-To:

Research Data Management discussion list <[log in to unmask]>

Date:

Thu, 26 Sep 2013 13:46:29 +0000

Content-Type:

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Hi Louise, 
Would you provide more details and resources? 
I only found this page in UK Data Archive: http://ukdataservice.ac.uk/manage-data/format/transcription.aspx 
We're interested in transcribing veteran interview audios and videos from the history department. We have many of those interviews lacking full text. The metadata is not encoded in TEI, but DC only. 
 
I'm new to voice transcription. If you and/or anybody else could provide some guidance to beginners, that would be great. 
Thanks! 
Sophie 
 
-----Original Message----- 
From: Research Data Management discussion list [mailto:[log in to unmask]] On Behalf Of Corti, Louise 
Sent: Thursday, September 26, 2013 7:54 AM 
To: [log in to unmask] 
Subject: Re: Voice Recognition Software for transcribing interviews 
 
Hi Andy, 
 
Yes, most use the Text Encoding Initiative (TEI) metadata capture. It suits transcriptions well and enables mark up of almost anything in speech or structure. Lots of resources on the TEI site. 
 
We also have TEI in production for interview transcripts and self-directed writing at the UK Data Archive, so happy to show you a template of an XML TEI document that we use if you'd like. 
 
Best wishes, 
Louise 
 
__________________________ 
Louise Corti 
Director, Collections Development and Producer Relations __________________________ T +44(0) 1206 872145 E [log in to unmask] W www.data-archive.ac.uk __________________________ UK Data Service UK Data Archive University of Essex Wivenhoe Park Colchester Essex CO4 3SQ 
 
__________________________ 
Legal Disclaimer: Any views expressed by the sender of this message are not necessarily those of the UK Data Service or the UK Data Archive. 
This email and any files with it are confidential and intended solely for the use of the individual(s) or entity to whom they are addressed. 
 
 
----Original Message----- 
From: Research Data Management discussion list [mailto:[log in to unmask]] On Behalf Of Andy Turner 
Sent: 25 September 2013 16:25 
To: [log in to unmask] 
Subject: Re: Voice Recognition Software for transcribing interviews 
Importance: High 
 
Haha :-) I dinna ken. 
 
Phil Woodland (copied in) looks to be an expert on transcription technology working on a current EPSRC project [1, 2]. 
 
I wonder if there is a recommended metadata standard for interview transcriptions. I would have thought that the categorised values of the accents involved would be part of this. I expect that the person transcribing the interview would generate much of this data.... For some interviews it is unwanted to get the interviewee to read out a standard text for automatic classification purposes. 
 
There are lots of transcriptions out there... I wonder how good all the metadata is... 
 
[1] http://www.languagesciences.cam.ac.uk/pdfs-from-launch-event/phil-woodland-pdfs 
[2] http://www.natural-speech-technology.org/  
 
Andy 
http://www.geog.leeds.ac.uk/people/a.turner/ 
  
 
-----Original Message----- 
From: Research Data Management discussion list [mailto:[log in to unmask]] On Behalf Of Valerie McCutcheon 
Sent: 25 September 2013 15:44 
To: [log in to unmask] 
Subject: Re: Voice Recognition Software for transcribing interviews 
 
That is why all us West of Scotland folk go shopping for pretty toes (potatoes) 
 
-----Original Message----- 
From: Research Data Management discussion list [mailto:[log in to unmask]] On Behalf Of McDonagh, Gregor 
Sent: 25 September 2013 15:32 
To: [log in to unmask] 
Subject: Re: Voice Recognition Software for transcribing interviews 
 
About ten years ago my wife was a disability advisor in universities so I played with Dragon.  Even if people are prepared to do the prep of feeding back their pronunciations this stage may frustrate.  A few words in Dragon simply wouldn't accept my pronunciation of the 'a' in "tab" and that was the end of it.  I admit I have had elocution lessons, but sharely [sic] a Coventry originating accent isn't that strong wrt to 'a'. 
 
Gregor McDonagh. 
 
-----Original Message----- 
From: Research Data Management discussion list [mailto:[log in to unmask]] On Behalf Of Tim Banks 
Sent: 24 September 2013 17:40 
To: [log in to unmask] 
Subject: Re: Voice Recognition Software for transcribing interviews 
 
In my experience, the reason 'why voice recognition software is not more commonly used' is simply down to the capability of the software currently available. As you say, voice recognition software (Dragon Naturally Speaking Pro being one of the more popular options) has to learn your voice and even then you have to speak very clearly and deliberately, ideally with short gaps between each word, in order for it to work with a high degree of accuracy (& let's face it, when transcribing interviews, accuracy is very important). Apple's Siri service uses some of the most advanced voice recognition technology currently available, running on hugely powerful server farms but still falls very short of being able to accurately transcribe a typical interview. 
 
Re-speaking an interview is the best compromise between speed and accuracy and I suspect this will be the case for the foreseeable future. 
 
Tim 
------------------------ 
Faculty IT Manager 
Faculties of PVAC & ESSL 
University of Leeds 
Leeds 
LS2 9JT 
 
 
-----Original Message----- 
From: Research Data Management discussion list [mailto:[log in to unmask]] On Behalf Of Howe, Veronica 
Sent: 24 September 2013 17:08 
To: [log in to unmask] 
Subject: Voice Recognition Software for transcribing interviews 
 
A great deal of research data consists of transcripts of interviews recorded using digital voice recorders and then transcribed, typically into MS Word, by someone listening to it in real time and typing what they hear.  Converting digital audio files into digital text files in this way seems quite labour intensive and therefore costly, which makes me wonder why voice recogniton software is not more commonly used. 
 
I gather that the main problem with voice recognition software is that it is designed to recognise a single voice, rather than the two or more voices in a typical interview situation. I understand that some researchers have overcome this by playing back the interview audio so the (recognised) interviewer can repeat what the interviewee said, which is presumably quicker than transcribing it, even allowing for correcting the inevitable inaccuracies. 
 
Given that the interview is such a common research methodology, I would be interested to know if anyone has any experience of using voice recognition software, or using products that can do this to sufficiently high standards. 
 
Veronica Howe 
Research Data Manager 
Archives and Information Management 
Library Services 
Kings College London 
Room 102 
26-29 Drury Lane 
London WC2B 5RL 
0207 848 1030 
 
Email: [log in to unmask] 
Web:  www.kcl.ac.uk/library/using/info-management/index.aspx 
 
Connect with us at twitter.com/kingslibraries 
 
This message (and any attachments) is for the recipient only. NERC is subject to the Freedom of Information Act 2000 and the contents of this email and any reply you make may be disclosed by NERC unless it is exempt from release under the Act. Any material supplied to NERC may be stored in an electronic records management system. 

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