MMILL Team Processing

Processing for this project is coming along. At the time being we are doing a lot of audio recording to get stories into MP3 format, we have done well in organizing the resources we have, and we are moving towards going through all of the audio files and writing synopses for each. Individually speaking, we divided the oral stories by storytellers and are each handling our own group of storytellers, from their photos to their audio files. At the moment I am trying to create Google Docs for each storyteller to keep track of what is left to be done with their files and to write the synopsis for the story they tell. Our processing is very systematic so pretty much everything has maintained what we expected, although one thing we did not expect is the amount of time it takes to do each step of the process. For example, listening to an hour-long story to transfer the audio file and then write a synopsis as to what they talked about. We are utilizing DH concepts like file formatting and data visualization through transcript.

I think our efforts will positively contribute to the overall project as our processing will offer more organization and easier consumption for the site visitor. We also plan on formatting the storytellers' photos in such a way that offers consistency and fluidity for a visitor. Additionally, many audio files of these stories were inaccessible from the web as they existed only on cassettes, so formatting these audio files into MP3 will aid in preserving them and making them much more accessible and consumable to a wider audience.

Comments

  1. Hi Jordan! I absolutely agree that our efforts that we are putting into our project is going to contribute greatly to the overall website once the database is fully curated. I also wholeheartedly agree that the work we are doing for this project takes far longer than we had initially anticipated, as the oral histories are extremely long.

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  2. Definitely more accessible. And hearing the cassette interviews, it's clear they are deteriorating. I know we weren't expecting these to be so lengthy (Rachel didn't even know that), but this is foundational and valuable work for their database. Maybe consider putting the transcript into Voyant to see the most frequent words.... ;)

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