Naturally, humans tend to not always speak Otter.ai is that it transcribes almost everything that is being said. You might be able to tell from the 'field' excerpt above, one downside to To do this you double-click on the text to bring up a list of option icons (alternatively, you could export the transcript to a Microsoft Word document and highlight/annotate). You can also highlight, comment, and share excerpts from the transcript really easily within the application. It easy to skip to the word you are interested in. Throughout your transcript along the time bar at the bottom, which makes YouĬan also see that it has highlighted the position of the word ‘field’ Talking about a an interesting map from the 1600s, which depictsĬommon agricultural practices at the time. That this is clustered around 17 minutes in – the exhibition guide is Source: navigate to the mentions of ‘field’ in the transcript, we can see Is mentioned in the Talking Maps transcript. The key word and it will highlight all those words in the transcript Quickly find out more about this word, you can do this by clicking on Of the key words in this conversation about maps. In the previous example, you can see that ‘field’ was one “so”, “if”, “and”) have been removed for you (so theyĭon’t affect the frequency of the words you might be most interested in). To note that the transcript has been automatically cleaned so thatĬommon English words (e.g. Maps (country, area, land, ocean, world, Europe, people, etc.). Word cloud above, you can see that our conversation at the mapĮxhibition was (unsurprisingly!) about maps, and things that can be Words, with the size of the word proportional to its frequency.Ī sophisticated way to analyse text, however they do provide a quick,Įngaging way to see which words are most prevalent in your transcript.įor example, the photos at the beginning of this blog (parts 1 and 2)Īre word clouds created from the text in the post - including words I'veįrequently used like 'transcription', 'otter.ai' and 'example'. Otter can also generate a word cloud from these frequent You can click on any of these words to highlight it throughout the Words are ordered in terms of the frequency that they are mentioned, and It has finished processing the conversation after recording. It displays these as a list under the title once I'll discuss each of these below alongside some limits/considerations. I found the following features particularly useful: 1) the generation of automatic word frequencies and word clouds 2) ability to explore the transcript and highlight key words 3) ease of editing the transcript. you can also feed-in pre-recorded audio into the application, which then generates a transcript). Having a conversation automatically transcribed in real-time is a huge advantage (NB. I've used this recording as it gives a good indication of how Otter.ai can be used in a mobile and group setting, also demonstrating its ability to integrate photos to provide more information/context to the conversations. The voices of several people (we were in a big group) as we move around the exhibition, talking about different historic and contemporary maps. Recording was taken (with permission) during a guided tour with StewartĪckland from the Map Department at the Bodleian Library - it captures For the example in this post, I've used an excerpt from a recording taken on my smartphone at the Talking Maps exhibition at the Weston Library in Oxford (fascinating exhibition!). I've used Otter.ai for a while in my PhD research to record, transcribe, edit, and summarise qualitative interviews. You can also check out this third post which covers some ethical, privacy/security, and safe storage considerations for qualitative research. Introduction to using speech-to-text apps (see part 1 for background information and an overview of what's available in 2020). I highlight some key features, provide examples, and briefly discuss some key considerations. This blog post is an overview and tutorial for using automated transcription app ( Otter.ai) for qualitative research.
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