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bluesman

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About bluesman

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    Crusty Old Curmudgeon

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  1. We’re actually not disagreeing at all. It takes the big data approach to build the model before we can apply it to individuals. But it’s eminently doable right now, and the data are readily accessible. An individual may only post a few times about a purchase - but he or she leaves a huge trail of searches, downloads, vendor inquiries etc that are equally important. They can all be tracked by IP address, screen name, etc. I’ve built successful predictive models for hospital readmissions, success of treatment for heart failure, when to stop medications, etc. I even built a model for
  2. You skipped a bit of my post - I clearly said it takes “enough good information”. Of course “a few” decisions and posts is an insufficient number. But this can be done - and it is, every day, by thousands of data scientists with access to sufficient information to build statistically sound models. Access to an individual’s social media posts, web searches, etc is a treasure trove of objective and highly predictive data that are more accurate at diagnosing disease than a lot of traditionally used medical and demographic info (eg this typical example). It’s a very valuable population health t
  3. And there is a way. In fact, there are multiple ways using predictive analytics and a dataset that includes detailed info on a given audiophile's experiences with audio devices. For me, trying to predict satisfaction from traditional technical metrics is usually a fool's errand. I'm an old surgeon, so I always viewed behavioral science as weak when I was younger. Now I realize that our behavior contains more information about our interactions with the world than most object-related direct measurements. Many social scientists are not as rigorous about their data analyses and standards for
  4. ...and that's how progress is made. It's easier now, and before long it'll be the status quo. Check out the latest AI/VC efforts on line - they're really pretty cool, even though they're still add-ons. Once some genius figures out how to integrate them into SoCs, we'll be in fat city!
  5. That's a great question! One of these days, I'm going to start a conversation between Alexa and Siri to see where it goes.
  6. The new crop of VC/AI programs will almost certainly be able to control Roon. What's needed is the ability to send the same call to the processors in response to a voice command that's generated by clicking on a Roon icon. It's not as simple as that sounds, but it's doable today. I've been playing with this using Braina, but I've not yet succeeded. Siri is almost certainly capable of doing this now - there are many custom business applications out there resulting from licensed use of Siri technology. But I suspect that Apple's not about to support any platforms at their own expe
  7. I walked into the library a few days ago to discover my wife in the middle of a major effort to get Alexa to turn on the lights. Unfortunately, she forgot to say "Alexa" first 🤪 AI is the secret to fully functional voice control. It's not hard for an intelligent computer to figure out that you want the lights on in the room when it's dark outside and you've asked for the same lights at the same time of day from the same spot 16 days in a row. If your request is ambiguous, you can be presented with rational options, e.g. "Do you want all the lights on in this room or something el
  8. There used to be several digital audio interfaces that would work together to increase the I/O complement - most were PCI cards. The purpose of this was to enable multitrack recording back when affordable, high quality desktop recording was emerging for home and small studio use. Here's a LINK to an excellent discussion of this topic from Sound on Sound, but it's 15 years old because this is not done much any more. As they point out, M-Audio Delta devices supported use of 4 units together on Win, 3 on Mac, and 8 on Linux (using OSS drivers). There were also MOTU and ESI DAIs that
  9. Somebody’s misinformed. Samba is a group of programs that use a common file sharing protocol and allow a Linux box to be a domain controller. With Samba (and similar programs), you can access files on Win machines and networks from Linux machines & vice versa. Debian is an operating system on Linux kernels. The two are neither mutually exclusive nor determinants of compatibility between a computer and a DAC. Samba is one way for the Id to access files on a Windows network share. But this has nothing to do with driving the DAC - it’s how the file gets from the network to the
  10. No worries! Your posts are appropriate expressions of a valid point of view, and I appreciate your clarification. But we see many AS posts about minor distinctions in sound quality (many of whose very existence is in dispute among audiophiles) from people who strangely dismiss major sonic differences that they should be hearing, as demonstrated by those two guitar videos I posted. I'd almost go so far as to say that anyone who can't hear any difference between them (a Maton concert body flat top and a 17" d'Aquisto archtop) might want to reconsider calling himself or herself an audiophile.
  11. Wow - I'm sorry you took umbrage at my post. To be honest, I didn't (and still can't) imagine that it brought so negative a response. To me (and, I bet, to most audiophiles), a recording that masks or alters gross differences in SQ to the point at which they become inaudible is screwed up by any definition. The differences I'm describing are not so subtle that it takes any knowledge of guitars to hear them, and it doesn't matter whether or not you know which is which. What matters is that you can hear the differences I'm discussing - they are big and should be clearly audible ove
  12. I respectfully disagree with this. Accurate capture and playback of acoustic guitars (and human voices) is one of the more difficult tasks for a recording engineer. Presenting a lifelike acoustic guitar sound and image (ie not too big and not too small) is not that difficult. But an accurate recording sounds like the guitar that was recorded, rather than a generic instrument. A Gibson J200 sounds quite different from a Martin O-16NY, and a big archtop with a carved spruce top (eg an 18” Gibson Super 400 or an original Epiphone Emperor) sounds quite different from a 16” laminated
  13. Hi and welcome! I wonder if you're not overlooking a few basics. I love your video, and I don't think there are any major audio problems. The sibilance in your voice may be a bit pronounced, but given the devices on which most people listen to videos, it probably enhances SQ from average computer speakers and inexpensive powered systems (which inures to your favor compared to those mixed for the best audio equipment). Your background music is a bit down in volume and lacks some weight. I can't tell from your description if you're concerned about the relative levels and frequenc
  14. I’m amazed at how well and accurately Alexa hears me even with loud music or TV playing - and I don’t have to shout. So with a bit more refinement in hardware and AI, I expect excellent responsiveness to be the norm. I have no problem playing a track selected by title, artist, version, edition etc with voice control of JRiver. If I forget that I have multiple versions of the same tune by the same artist, the vox ex machina recites them and asks which I want to hear. I also still prefer the buttons on our Comcast remote. But my wife loves the voice control and uses it 100
  15. I agree completely with what's already been posted. Your equipment choices are excellent. But if I understand you correctly, you also asked if you're making a mistake with 2 channels. I strongly suggest that you use your budget for a really good 2 channel system and get used to fine sound in stereo before considering MC. Multichannel audio is really fine and really fun, but I would not compromise SQ to get more channels. With the latest crop of MC "integrators" (e.g. the MiniDSP UDIO8) and DACs (e.g. the ESI Gigaport), you can easily add more channels of equal quality when you're ready.
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