I have many interviews to transcribe and doing so manually would take a significant amount of time.
I also do not have money to pay for a transcription service.
Are there any free programs that will automatically transcribe an audio recording?
**EDIT**: To be clear and address some of the answers to this question, this question is not an attempt to get other researchers to find this information for me. Prior to posting this question, I looked around at previous questions on ResearchGate and recommendations on other websites. Most of the free software I've found either doesn't work very well (e.g., only records one person's voice, misunderstands a significant amount of audio) or required a level of software development experience that is beyond me.
Variations on this question have been asked here several times, so I suggest you use the search function (at the top of the page) to see those previous discussions.
I don't know about free software for this (check with your institution's IT department - Dalhousie wasn't entirely strapped for cash the last time I checked :-)), but the basic version of Dragon should cost less than $100 or so
(ask if this would be covered by your department's research funding).
If you are taking recordings from several research participants, then you need to be aware that Dragon requires to be "trained" to recognise words spoken in different accents and timbres rhythm etc. You can do it superficially by using one of the control texts supplied with the program, but there will still be a shed-load of editing to do. A practical solution is to train the program to your voice, then repeat verbatim the interviews (heard through headphones) via a microphone into the program on your computer. Still editing to do, but much less.
Then use NVivo to assist with data extraction.
Any help?
I'm a bit confused by your question. If you simply paste your question into any common search engine, you will see that there are many S2T options. Whatever form your source data, you will need to impose your own the conceptual classifications on the content. A machine translation program cannot do this for you because it has no "idea" about your research hypothesis, methodology, or rubrics.
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