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Dear Adam and John:
Because of the original analyses, No Agenda is often the first and sometimes only place to produce new and important bits of information.
When No Agenda listeners try to tell somebody else something, ie, propagate the formula, we sometimes need to provide a citation. People don’t automatically believe what we tell them. The material on No Agenda is not often a part of the media echo chamber, so the public don’t hear the same thing a million times, and therefore they don’t automatically believe the information we offer to them.
Adam has made the argument that this is purely a current events show, and therefore old shows have little value. This is wrong. Some listeners want continued access to the old archive recordings for citations.
Bibliographies and citations are also why it would be additionally helpful to have textual transcripts of No Agenda. It is hard to search for keywords in pure audio files. I’m thinking robotic speech to text would suffice to develop a workable if imperfect keyword and timestamp matching mechanism for searching the audio archives efficiently.
The show archives are excellent sources for all sources and links to the materiel.
The ONLY thing left would be to run the shows through Naturally Speaking and make a passably accurate transcript of the show.
I used to record my podcasts and provide full searchable transcripts on my web site, on my wiki, in the lyrics tag on the MP3 (.m4a) media to that my shows are still getting downloads years after I stopped doing them.
It was a lot of work. I don’t blame Adam or John for not wanting to do it.
I am thinking of manually transcribing the show, but its alot of work.
A friend of mine would like to get the information from the show in written form – he does not like listening and prefers reading.
I think there is an opportunity here to potentially expand the readership by providing a full written transcription of the show – complete with good markup, links etc and have the transcription crowd checked only by listeners – ala wiki-style.
That way over time the transcriptions become more and more accurate.
Dragon Naturally Speaking is what I was going to use, but that fails when you have multiple speakers on the audio file as Dragon only has one speaker profile loaded at one time. It cant handle voices changing all the time – unfortunately this will have to be a manual task.
Maybe if we had enough transcribers – we could crowdsource the work load – dividing it up into smaller pieces and having all transcriptions checked wiki-pedia style.
Eg. a 3 hour audio sample could be broken up into 90 – 10 minute pieces of transcription – and these could then be self-assigned by transcribers and then uploaded to a website that would join it all up.
– Just an idea – anyone willing to assist me?