#Freac ogg quality settings 64 Bit
#Freac ogg quality settings 32 bit
#Freac ogg quality settings archive
#Freac ogg quality settings zip
#Freac ogg quality settings windows

Consider it the Zip utility of audio compression. Lossless encoding is compressed in a manner that if you decompress it, it will be exactly the same as the original. I have a Laura Cantrell CD coming in a few days. The lossless mantra: 'Rip Once, Rip Right'Īn OT aside: I just bought Wilco: Yankee Hotel Foxtrot today, thought I'd check out the Alt Country craze. You can convert a lossless file into a lossy file without any quality degradation in comparison with compressing into lossy straight from the CD.

#Freac ogg quality settings archive

quite a bit bigger filesizes but really the only option if you want to archive your music for the ages.

It will sound good, but you can't recompress it without crappifying the sound quality (crappifying is a scientific term BTW - View image here: -)

It throws away the stuff that it thinks a human won't be able to hear anyways. Lossy compression such as MP3 or Ogg uses perceptual encoding that throws away audio information permanently to achieve file size reduction.

#Freac ogg quality settings windows

You can use the above Monkey's Audio Windows app to convert straight to Ogg as well.Īn explanation for you if you haven't been introduced to the world of lossless encoding. MP3, I think Ogg is known to be better at lower bitrates, so if you want good sound with small filesize, maybe go Ogg (does Ogg support streaming?) At higher bitrates the difference is probably negligible, but I'm no Ogg expert. If you have the hard drive space to store a lossless encode of your entire library, then I'd say this is the smartest way to do this because it guarantees less work for you in the future. So if you convert to LAME MP3, and then later decide you want to go OGG, it's just a matter of queueing it up and letting it go. The great thing is that the second step (converting to lossy) can be done over and over again with no work required on your part to get it done. So essentially this is a two step process, but the second step (converting to mp3) is largely automatic, and it only requires you to rip once. It will even copy over the APE tag information into the MP3 ID3 tags. You can specify command line parameters (Such as -alt-preset standard), and it will convert all your songs and drop them into the same directory or directories (assuming you keep separate folders for each artist and album) of the source APEs. It has a conversion function within that will take all the APE files and convert them into LAME MP3s (have to drop lame.exe into the Monkey's Audio codec directory). I will rip my entire collection into APE, and then when it is done queue the entire 'My Music' directory (and subdirectories) into the Monkey's Audio Windows app. What I plan to do is use EAC to rip into. I had my entire collection ripped with EAC+LAME using -r3mix, but I wanted to go one step further. That's exactly what I will start doing soon. A lot of extraneous work here that can be avoided by ripping into a lossless format. Note that depending on how your version of Picard is packaged, it can use your system-wide version of Python, a Python from a Snap or Flatpak runtime package, or bring it's own version of Python.Do you have some HD space? Realize that you've ripped all your music into mp3, and now you are considering re-ripping into ogg or CBR mp3. If you are using a version based on Python 3.6 or later now, this should not happen again. So if you used a Picard version based on Python 3.5 or earlier, this would explain the chapter tags order getting messed up when editing tags. The problem is that before Python 3.6, such dictionaries did not preserve the order of elements added to them. It uses Python's dictionary type to store tags. Regarding the chapter tag order, I had a quick look at MusicBrainz Picard's source code.

#Freac ogg quality settings 32 bit

They still use a 32 bit sample count field that will overflow for very long outputs (longer than ~12 ½ hours for Opus).

#Freac ogg quality settings 64 Bit

I thought I had changed all sample count fields to 64 bit a long time ago, but must have missed Opus and Speex. After taking a closer look now, of course they appear to be correct, just in the wrong order.Īs for the Negative or zero granulepos error, this appears to be caused by fre:ac indeed. I only had a quick look at the chapter offsets in your first post, yesterday. Seems it's not being saved in the expected order of chapter time followed by same chapter name i.e.Īlright, thank you for providing this additional info! Seems the metadata is fine, but the chapters are out of order?