If you want to get this spot on, the frame size in ms will need to be calculated (The typical MP3 (Layer III, version 1) has 1152 samples per frame and the sample rate is (commonly) 44100 hz.) and all valid audio frames will have to read and written 1 by 1 to the desired duration.Īlternatively mp3directcut (windows free) will read a cue file, and split the audio without reencoding, and works to the frame level, but I have never checked exactly how accurate this is. If the cue file was designed for CD rather than an MP3 file, which is usual, then each FF is 1/75 sec, so the calculation to get ms from FF is easy, but the problem with ffmpeg remains. The problem is standard cue file Index points are specified in MM:SS:FF format, where FF are frames.Īnd ffmpeg wants fractions of a second to make the cuts.Īlso If we want to avoid re-encoding, which is sensible, ffmpeg has to cut at frame boundaries, which it is cautious about, so adds a couple of frames to ensure nothing is excluded. However getting the cuts to the millisecond needs some more work! So Python 3 and new ffmpeg version: cue_file = 'file.cue' This easy mp3 splitter software can also detect a specified amount of silence and. WavePad is a free audio file splitter that is designed to split audio files into a set number or a set duration. Downloads and ready to use within minutes. Split based on length or silence detection. items())Ĭmd += ' "%.2d - %s - %s.mp3"' % ( track, track, track) Split large mp3, wav and other audio files to usable lengths. join( '-metadata %s="%s"' % ( k, v) for ( k, v) in metadata.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |