Highly recommend Astell and Kern + Ultimate Ears IEM
At home, end to end digital Meridian system
First few bars of Keith Jarrett’s Koln concert
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Qobuz has it in 24-bit 96 kHz - stereo, that’s all I can get out of my tech. I will give it another try. Thanks also for this jazz recommendation. A true great in this genre I have a lot of catching up to do and this concert has the best reviews.
The Cologne Concert (Live at the Opera, Cologne, 1975) Keith Jarrett
You can’t stay with the first few bars…the next hour is booked for this concert.
Of course, the evaluation should not be neglected, that goes by the way quite well and is just as pleasing as the music recommendation.
Do you have Audio analysis turned off? (in Library settings)
I generally feel that identification is much faster if the competition on drive IOPS os relieved as much as possible. (Meaning that the resulting speed is not necessarily on Roon infrastructure)
Thanks for this information and yes i have (modular without audio analysis is the fastes way).
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It’s time for the daily update. Roon picks up more speed on identify. Today there are over 130000 music tracks and the computer is not shut down yet.
Yesterday I marked 36872 albums as Identified by Inspetor at 14:40, today it is over 50000, but there is still a long way to go and it can’t be done in a week.
In the meantime I enjoyed Norman Spector’s music recommendation and learned once again that I am not part of the group of audiophile ears. That doesn’t change the joy that music gives me. But maybe it’s just because I’m not yet running the exceptional Ultimate Ears IEM on an Astell and Kern.
The further journey is uncertain, but musically!
Assuming 5 mins per track it is 25.2 years of listening without sleep. With 2.5 mins per track it is 12.6 years without sleep. Very interesting 
A life’s work is transferred to Roon!
It could be well that I will hear of it only very few again because I look for only connecting points for the next 30 years with the help of Roon and his unique connecting lines.
Foobar tells me that I could listen to 497 and 588 weeks so a good 20 years of uninterrupted music. This mathematically exact calculation is gray theory, because I will not listen to 7 hours of “Wonderland by Night”, then another 5 hours of “Ducky” and then another 5 hours of “Dreaming The Blues” by Bert Kaempfert. As much as I appreciate his music. It works differently. Everything I have is just a trip destination for further discovery. Even if Norman Spector hadn’t given me his great recommendation. I collect so that after decades I can still find an important connecting point.
This sampler would have led me with Roon, Tidal and Qobuz certainly to the Cologne concert of 1975! whether in one or 30 years now remains unclear. Surely I will want to hear this again in CD quality.
Another great feature of Roon would be here at work. With companions like Art Blakey, Charles Loyed (Quartet), Miles Davis, Chick Corea, Charlie Haden, Dewey Redman and Paul Motian…or further references to best-selling LPs in jazz, his broad lineup into related genres, he was so brilliant and versatile and yet after two strokes he can now no longer continue where his passion resided.
Enjoy what you do until your last breath.
2 CDs by TIDAL
2 CDs by Qobuz
Surely I will want to hear this again in lossless quality by Qobuz
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Looks like we’ll get one anyway. Only 1 billion tracks to go…
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I wonder how many of these files are corrupted 
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Uwe, you should start a blog somewhere, if you’ve not already.
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@Jim_F there are people who are happy when something is shared or even want more observations in their own blog. These are certainly those who have also collected much more.
I assure that, like you, I have also thought, what is the use of this collection, since there are so many good? Music services out there. But they are not good if you start there empty handed. They need data, even a lot of data. It’s the collecting, buying and listening habits that add value to AI through further linkages in the cloud. Here, and at no other point, Spotify has so far outpaced the competition. 4000000 listeners worldwide (the most active!) provide EchoNest, Nieland & Co. with the right acquisitions. Simply the research knowledge to it. Songradio, Artistradio and much more is billionfold linked, checked and selected. A long way for Roon.
Roon tries it differently and I find that interesting. It may be that here in the jazz or classical area are simply the better listeners with other sonic experiences. Certainly we can find specialists for metal and other styles in the genre of rock. Even those who like electronic or krautrock are here, but we are an album-based HiRes niche. There are other artificial elements needed to raise the overall potential.
The best starting point is data. And blogs are evaluated as well. Without words, without listening habits, without libraries, it just doesn’t work. If there are already a lot of data points, AI becomes powerful and you are glassy. With Spotify, I’ve reached a point where I really get 50 suggestions for every song that suits me. That can also be scary for some. Others find it boring. Roon Radio still offers me strange suggestions, lots of repeats…just isn’t ready and grown up yet, but it can’t be done in a few days, weeks or months.
Why shouldn’t I report daily what’s going well for me and where it’s still stuck?
@BCBC I appreciate the humor and am willing to self-reflect. The billion can only be handled by AI. Feeding Roon a few million and then getting more millions selected for the next decades is a great temptation. Whether this will work we will observe. Still we are feeding the engine to make it run smoother.
@MarcMarc you can check that quickly with Roon. Whether you can really trust these results, prove cross-checks with Dolphin (Linux file manager that can do much more than Windows users imagine) or Foobar2000. This was once an MP2 from the 80s. More about the development here: MP3 – Wikipedia or here:MPEG-1 Audio Layer 2 – Wikipedia
My conversion to MP3 doesn’t always seem to take well to Roon, but that changes from OS to OS. Who only listens to lossless thinks I have only data garbage on my harddisk, but it is the raw material for artificial intelligence and helps to get the better recommendations at the music services today. Who does not like that, uses traditional methods and listens certainly much less. But less can also be more. Viewpoints determine behavior patterns.
@mikeb there will always be different points of view and those differences are good! What we call passion, dedication, love is for others crazy, obsessed, useless, waste of time…
If the Roon team is smart, use this great base to grow. If you want to get even smarter, they filter it from different points of view and make it a recommendation system the world hasn’t seen yet.
With my language skills (Deepl) plus small base German, English and Spanish I will not become a blogger. I am only interested in exchanging experiences. Say something, ask and find many answers. The passion to write is smaller than the passion for the music and its uses.
You’re reading it…
A round thing, again over 100000 titles run through the metadata analysis. Now exactly 61000 albums are treated in the second step.
A good test of your ears and your system is whether you heard anything unusual in the first couple of minutes
@Norman_Spector ??? The audience, his foot movements, a door opens Clearing throat, stomping, short singing (verbal seconds interludes) ???
beautiful Piano
laughter in the audience
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Were you there must have been rousing.
It’s surprising, at 160 Kbit/s (OGG) Spotify even hear it more clearly than Qobuz. I must have really sick ears or just turned up even louder?
Beyerdynamic DT 770 Pro was the studio standard for years and now in the budget segment.
06/04 06:20:11 Info: Starting RoonServer v1.8 (build 952) stable on linuxx64
As expected, Roon did not reach the speed of the previous days during the Whitsun weekend. 14 hours have passed and it’s time to draw a daily and interim balance.
There are still more than 1.5 million music titles to work through and Roon has managed 71131 of them today. In relation to the entire collection, between 2 and 3% are processed daily, so that the second work step requires 30 to 50 work days. It is thus clearly more time-intensive than the pure reading of the external hard disks without metadata optimization.
Now 67773 albums are noted with the metadata optimization. Both drives contain visible processing.
20% of my albums are described as identified by Roon.
25% of the artists now have a biography
8% of the music tracks have lyrics
The percentage of available artist images will probably remain much smaller. Have a look:
…but the Beatles are there of course
Wow what a gigantic collection! All the work and love that went into that.
Really interesting thread.
The ultimate local library test for Roon.
A lifetime of collecting music, it just shows how the world has changed. Years and years of collecting, later in the dawn of the digital age ripping etc - and these days all you need is a subscription to an „all you can hear“ music service.
Years ago, who would have thought this would become a reality?!?
All I can say is - enjoy!
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