technical papers on tech like Apt-X

Discussion in 'Audio Science' started by mkarikom, Apr 21, 2020.

  1. mkarikom

    mkarikom Rando

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    Can someone post some good reviews or conference papers on cutting edge approaches to this?

    Obviously the licensed implementations (like Apt-X) are not public, but presumably most of this tech involves some kind of low dimensional representation of a discrete data structure.

    In particular, I'm interested in:
    1) reviews of current approaches addressing bandwidth-constraints. What metrics are used to measure fidelity? Is there a connection between 'musicality' and the actual error. Is fidelity affected more by differences in timing or frequency. Are certain types of music more challenging? How do specific implementations (LDAC, Apt-X, etc) benchmark with respect to these kinds of metrics?

    2) applied papers that address the connections between hearing science and the choice of representation e.g. DFT vs a dynamic topic model (go ahead and laugh, audio isn't my field, lol). Will there be a time when someone like Tyll Herstens can listen to a (properly amped) bluetooth headset and not be able to tell that its wireless?

    3) theoretical papers on how far we could push the envelope in terms of fidelity
     
    Last edited: Apr 21, 2020
  2. purr1n

    purr1n Finding his inner redneck

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    Tyll is retired.

    Do you mean that will there be a time where someone here on SBAF can listen to a (properly amped) bluetooth headset and not be able to tell that its wireless?

    Or do you mean when someone like Ralf Arnott can listen to a (properly amped) bluetooth headset and not be able to tell that its wireless?
     
    Last edited: Apr 21, 2020
  3. Vtory

    Vtory Illogical Spock

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    You came to a wrong place. I don't think asking such questions here is a good idea. "Audio science" here is more likely associated with practical benefits (roughly speaking, aims for less irrational spending).

    Here are better alternatives:

    1. Go to Quora or StackExchange.
    2. Look for signal processing or engineering communities/forums. There may be some nice forums named "super best signal engineers". Who knows.
    3. Google your interest keywords/questions at Google Scholar.
     
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  4. mkarikom

    mkarikom Rando

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    Thanks for pointing this out (yes, I watched his farewell / stepvan conversion vid back in 2018). Uhh, sorry to Ralf Arnott (I'm sure you write beautifully) if the omission of your name was presumptuous.
     
    Last edited: Apr 21, 2020
  5. mkarikom

    mkarikom Rando

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    Super Best Signal Engineers could be amazing, haha
     
  6. Wilson

    Wilson Socially Anxious Volleyball

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    I think the inclusion of his name would have been presumptuous.
     
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  7. mkarikom

    mkarikom Rando

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    I found "super best signal engineers" and it is phenomenal!
     

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