[BlindMath] Audiobook in Probability and Topology

[Ralf Elberskirch@GMX]

Hello Bhavya!

You could try to scan PDF resource or paper resource with inftyreader.
>From the *.imlx Format chattyinfty (also as demo) can create a daisy audio
book.
See https://www.sciacess.net/en/InftyReader/
(The link is entered manually.)

Check also books at RFB&D.

Kind regards
Ralf


-----Ursprüngliche Nachricht-----
Von: BlindMath [mailto:blindmath-bounces at nfbnet.org] Im Auftrag von Bhavya
shah via BlindMath
Gesendet: Mittwoch, 16. Juni 2021 22:50
An: Blind Math list for those interested in mathematics
Cc: Bhavya shah
Betreff: [BlindMath] Audiobook in Probability and Topology

Dear all,

I am a blind freshman at Stanford interested in mathematics. So far, I
have taken coursework in multi-variable calculus, linear algebra,
abstract algebra, and combinatorics, and will be taking a class
starting next week in probability and topology. I do not use Braille
or tactile graphics, so I am a very oral and mental learner in
general. I have never used audiobooks in the past, but I think I might
benefit from them, whether as a supplement to my classwork or just to
self-study some topic that catches my fancy. In that regard, I would
truly appreciate any thoughts on the following:
* What are some good resources to find recorded audio of college Math
textbooks? Naturally, the reader must have been thorough and clear in
verbalizing dense math equations. I am aware of Learning Ally, though
am yet to try it.
* I will receive the book (Grimmett & Welsh's Probability: An
Introduction) in an accessible electronic format (with Math ML and
all). But is is this or another equivalent book (which must cover
"probability (random variables, independence and correlation,
concentration bounds, the central limit theorem) and topology (metric
spaces, point-set topology, continuous maps, compactness, Brouwer's
fixed point and the Borsuk-Ulam theorem)") available as an audiobook?

I am not a fan of reading Math ML with my screen reader, so am trying
to experiment with different modalities of consuming mathematical
content. All recommendations and inputs would be greatly welcome!

Best Regards
Bhavya Shah

Stanford University | Class of 2024
E-mail Address: bhavya.shah125 at gmail.com
LinkedIn: https://www.linkedin.com/in/bhavyashah125/

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