Audio to Text Fidelity
Audio to Text Fidelity
Vanipedia has launched
Śrīla Prabhupāda's Audio to Text Fidelity Project to proofread all the transcriptions of lectures, morning walks and conversations of
Śrīla Prabhupāda. 
Completion Date: November 18th, 2020
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Total Files Read - 3,790/3,804 (99%)
We want to preserve the integrity of Srila Prabhupada's spoken words. We want to complete this undertaking as a very important service to Srila Prabhupada and for the present and future generations of devotees to hear Srila Prabhupada 108% As He Is.
We welcome all devotees who love hearing Srila Prabhupada to join us in this mission. There are a total of 2,435 hours of audio in 3,804 files to be attentively listened to.
What We Are Achieving
Our Goals:
  • A very transparent presentation of Śrīla Prabhupāda's audio teachings in text form.
  • The texts ready for translating in multi-languages.
  • The texts ready for printing in hard copy.
Accomplished so far:     
  • Starting in 1988 and going up to 1993, the Bhaktivedanta Archives printed in hard copy the first edition of all of Śrīla Prabhupāda's lectures & conversations totaling 37 softbound books and 25 hardbound books. These books are now out of print and since they were printed more audio has been found, thus with the extra audio and a better fidelity check we can all be transcendentally happy to see them once again (in the not too distant future) back in print.
What You Can Do
You Will Experience:
  • Direct association with Śrīla Prabhupāda as you proofread his words.
  • A personal service, made by you, for the pleasure of Śrīla Prabhupāda.
  • The joy of serving with your Vaniseva family members in a dynamic project.
Help us edit the following:
  • Spelling - The standard here is American spelling.
  • Extra/Missing words - Sometimes even several sentences are missing.
  • Punctuation - There are a few common punctuation mistakes.
Qualifications:
  • Experience in hearing Srila Prabhupada or a strong desire to do so.
  • Good command of Prabhupada’s accent.
Technologies used:

VaniSeva Teams

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