![]() Over the course of a few months, I have collected several half hour to two hour long interviews via multiple recording set ups. ![]() But before I jump into the how, let me describe my particular use case. Since I have a small account and some credits to burn I figured why not kick the tires and see how Transcribe would perform on meandering oral history interviews. Why not get a transcription of the contents via one of the cloud offerings? Amazon offers a service called Transcribe that is available via the AWS suite of services. After collecting hours of stories, I realized that having a transcription would make things much easier to search and perhaps more useful to those interested in these particular histories. During the process I took notes with simple descriptions of what the speaker was describing or telling and a rough timestamp of when in the file the conversation took place. I have been working on collecting a family’s oral history for the past few months. ![]()
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