Don’t know.
Seems like an active day for everypony, though. I’ve barely even started on this piece I picked out.
I’ll have to stay up late to get it done.
Don’t know.
Seems like an active day for everypony, though. I’ve barely even started on this piece I picked out.
I’ll have to stay up late to get it done.
Oh…
Uh…
…
I… Can’t really think of one.
We’ve argued before, but that’s not really sad.
Most of the time it’s just Bon-Bon cheering me up!

Not that I place a terribly large importance on intercourse, like I’d withhold engaging out of principle, but I’m not about to…
We’ll go with engage again.
Engage in such an activity at the drop of a hat either.
In short, I neither want to hear that, nor do I reciprocate the emotion.
I only answer directly to Princess Celestia. And only face-to-face.
Been going alright, but a little slow progress wise on this piece I’m working on. I keep getting distracted!
Parental advisory for language, but meta powers says I can’t not post this. It’s supposedly sort of a big deal.
How many of you ponies are there?
A lot.
A LOT a lot.
A lot lot lot.
A number greater than a few, but less than too many.
After a short search, I found this.
DX music is in .mod format, which works like a modified MIDI file -like a MIDI file with the appropriate soundbank attached-. This proprietary soundbanks (for lack of a better term) are put together by the composer, sometimes even on a song by song basis. And the sounds that comprise them are not necessarily setup to reflect the actual pitch the sample is sounding. So if you open a DX music file on a tracker program and you sit down with a piece of manuscript paper you might be able to actually transcribe the track, but an automatic conversion would be subject to error in the given example.
Also, sometimes there are effects written as notes into the tracks (ie: the beginning of “Synapse” or the “UNATCO HQ” tracks where the melody is written with a delay in mind to form a counter-melody with the original phrase. If you look at the track in the tracker program a simple algorithm wouldn´t be able to identify this. You´d have to implement phrase recognition features and my guess is that is much more troublesome and un-educational than a DIY approach.
So, pretty much not going to happen. But it was a nice thought.