[Linganth] Recommendations for tools transcribing and analyzing large amounts of data

[Nathan Straub 曹內森]

Hi Dominika,

I use Vook.ai (an AI-based subscription service) for rapid automatic
transcription of English. (It also does Spanish, French, Italian,
Portuguese, and German.) You would likely have to sort out overlaps and
speaker labels on you own after that.

For field recordings, I liked using SIL's Saymore software, because it
provided a place to store recordings and break up a recording into short
breath groups and listen again and again with slow speech and type up rough
transcriptions, and then I could port the vernacular and free translation
lines into FLEx.

Which languages are you working with?

Nathan

We are sent into this world for some end.  It is our duty to discover by
close study what this end is & when we once discover it to pursue it with
unconquerable perseverance.
JQA at age 12 to his brother Charles (June 1778)

On Thu, Apr 9, 2026, 12:02 Dominika Baran, Ph.D. <dominika.baran at duke.edu>
wrote:

> Dear Colleagues,
>
> I am looking for recommendations of your favorite tool(s), at the moment,
> for processing large amounts of recorded spoken & written conversational
> data (informal interviews, free conversations), for both transcription and
> coding & analysis.
>
> I have about 100 hours of digitally recorded conversations, including
> those among multiple speakers, with lots of simultaneous speech, two
> conversations going on at once, overlap, and code-switching (mostly
> bilingual, occasionally trilingual). I also have 13 years of written group
> chat conversations, which don’t need transcribing but it is over 300,000
> words. I am looking for suggestions for software, online or otherwise, for
> both transcription (which is tricky because of the multilingual and
> overlapping conversations) and, more importantly, organization, coding, and
> analysis. It has been a while since I have dealt with THIS much data and I
> am sure there is a lot out there that I don’t know about - all and any
> suggestions of what has worked for folks are very much appreciated!
>
> Best,
> Dominika
>
>
> Dominika M. Baran
>
> Associate Professor
>
> English Department
>
> Duke University
>
> Allen Building 303
>
> Durham, NC 27708
>
>
>
> Pronouns: she/her/hers
>
>
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