I started learning guitar using tabs. It's good for easily picking up a song, but I found it painful to learn new songs. Everything I played I simply memorized and learning a new song was always a start from scratch.
I mostly play classical guitar and now force myself to get better at sight reading standard music notation. I find it extremely hard but very rewarding because I'm now able to simply pick up a sheet of music and with a couple of tries figure out the basics of a piece. It opens up a whole library of beautiful pieces.
Same, I finally managed to stick with learning standard notation this year after several false starts and I’m kicking myself I didn’t start earlier. There were a few tough moments where it seemed like I’d never get (learning about key signatures, moving past 1st position) but now I’m starting to get comfortable playing up to the 7th position. It’s so nice being able to just buy a big book of Sor or Giuliani or Carcassi studies or even some Bach transcriptions and play them straight out of the book instead of needing to listen to a performance first and then look at the tab.
I'm working on becoming a better piano player and forcing myself to read sheet music. To your point, it's incredibly difficult. To the point that I'm 50/50 about whether I'll ever get good enough for it to matter. I'm learning songs, but in nearly every case I'm mostly memorizing the song. It's really frustrating.
I've been advised to use a keyboard to record my playing without being able to hear it and playing straight from the sheet music. I haven't tried it yet though.
Was playing around a bit and for its size it's very impressive. Just has issues pronounciating numbers. I tried to let it generate "Startup finished in 135 ms."
I didn't expect it to pronounciate 'ms' correctly, but the number sounded just like noise. Eventually I got an acceptable result for the string "Startup finished in one hundred and thirty five seconds.
yeah we're fixing this at the model level too. but in the meantime, there is a way to add text preprocessing for you, and if you have a special use-cased, claude code should be able to one-shot custom preprocessing. its the way that most existing tts models (including sota cloud ones) deal w numbers and units, they just convert it into string.
thanks a lot for trying it and giving feedback. custom preprocessing will fix this for 95% of use-cases. and as i mentioned, this will be fixed at the model level in the next release.
The above SECDED check-bit encoding can be implemented in a similar way, but since it uses only three-bit patterns, mapping syndromes to correction masks can be done with three-input AND gates.
It sounded quite good indeed for the normal English stuff, but I guess predictably was quite bad at the domain-specific words. It misspoke "SECDED", had wrong emphasis on "syndromes", and pronounced "AND gates" like "and gates".
Could you give some example of what kind of preprocessing would help in this case? I tried some local LLMs, but they didn't do a good job (maybe my prompts sucked).
I'm not sure if you're misspelling it deliberately or not, but the word you're looking for is "pronounce" and it's verb form "pronouncing", as in "It just has issues pronouncing numbers" and "I didn't expect it to pronounce 'ms' correctly."
- d2 is a standalone executable compiler, I once tried mermaid-cli (mmdc) but couldn't get it to work properly plus anything I need to install with npm scares the hell out of me
- ASCII rendering: I love rendering to ASCII which I can copy-paste around.
But I do use mermaid a lot embedded in other programs (e.g Obisidian). The selection of different diagram types is amazing.
I've been fully on DDG for years but becoming slowly skeptical & looking for alternatives.
1. They're leaning heavily into "responsible AI", much like Mozilla
2. Might be just me but I feel like their algorithm became significantly worse recently. Over the years they've gone from being worse than Google in the early days to steadily improving & overtaking Google on quality (I made heavy use of !g until I started slowly realising it was no longer giving me better results). But now I feel like they've reversed & regressed again.
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