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Opus 1.5 released: Opus gets a machine learning upgrade

opus-codec.org

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Re: Opus 1.5 released: Opus gets a machine learning upgrade

#25

Post by a_wild_dandan »

CharlesW wrote: post #5
travisporter wrote: post #2

Very cool. seems like they addressed the problem of hallucination. would be interesting to see an example of it hallucinating without redundancy and corrected with redundancy

Isn't packet loss concealment (PLC) a form of hallucination? Not saying it's bad, just that it's still Making Shit Up™ in a statistically-credible way.

To borrow from Joscha Bach: if you like the output, it's called creativity. If you don't, it's called a hallucination.

Re: Opus 1.5 released: Opus gets a machine learning upgrade

#26

Post by behnamoh »

mattnewton wrote: post #18
behnamoh wrote: post #12

Isn't it a strange coincidence that this shows up on HN while Claude Opus is also announced today and is on HN front page? I mean, what are the odds of seeing the word "Opus" twice in a day on one internet page?

Not that strange when you consider what “opus” means- product of work, with the connotation of being large and artistically important. It’s Latin, so it’s friendly phonemes to speakers of Romance languages and very scientific-and-important-sounding to English speaking ears. Basically the most generic name you can give your fine “work” in the western world.

Thanks for the definition. I like the word! I just haven't come across it in a long time, and seeing it twice on HN frontpage is bizarre!

Re: Opus 1.5 released: Opus gets a machine learning upgrade

#27

Post by luplex »

I wonder: did they address common ML ethics questions? Specifically: Are the ML algorithms better/worse on male than on female speech? How about different languages or dialects? Are they specifically tuned for speech at all, or do they also work well for music or birdsong?

That said, the examples are impressive and I can't wait for this level of understandability to become standard in my calls.

Re: Opus 1.5 released: Opus gets a machine learning upgrade

#28

Post by pgeorgi »

dogma1138 wrote: post #11
out_of_protocol wrote: post #3

Why the hell opus still not in Bluetooth? Well i know - sweet sweet license fees (aKKtually, there IS opus codec, supported by pixel phones - google made it for VR/AR stuff. No one uses it, there are about ~1 headphone with opus support )

Opus isn’t patent free, and what’s worse it’s not particularly clear who owns what. The biggest patent pool is currently OpusPool but it’s not the only one. https://www.opuspool.com/

No codec (or any other technical development, really - edit: except for 20+ years old stuff, and only if you don't add any, even "obvious" improvements) is known patent free, or clear on "who owns what."

Folks set up pools all the time, but somehow they never offer indemnification for completeness of the pool - because they can't.

See https://en.kangxin.com/html/2/218/219/220/11565.html for a few examples how the patent pool extortion scheme already went wrong in the past.

Re: Opus 1.5 released: Opus gets a machine learning upgrade

#29

Post by CharlesW »

a_wild_dandan wrote: post #25
CharlesW wrote: post #5

Earlier quoted context omitted.

Isn't packet loss concealment (PLC) a form of hallucination? Not saying it's bad, just that it's still Making Shit Up™ in a statistically-credible way.

To borrow from Joscha Bach: if you like the output, it's called creativity. If you don't, it's called a hallucination.

I love that, what's it from? (My Google-fu failed.) Unexpected responses are often a joy when using AI in a creative context. https://www.cell.com/trends/neurosciences/abstract/S0166-223...

Re: Opus 1.5 released: Opus gets a machine learning upgrade

#30

Post by sergiotapia »

wilg wrote: post #16
mikae1 wrote: post #4

They’ll have my upvote just for writing ML instead AI. Seriously, this is very exciting developments for audio compression.

This is something you really shouldn’t spend any cycles worrying about.

I'd just like to interject for a moment. What you're referring to as AI, is in fact, Machine Learning, or as I've recently taken to calling it, Machine Learning plus Traditional AI methods.
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