I've encountered an issue while attempting to convert an audio downloaded from a youtube video into a mono .wav format using ffmpeg. Despite using typical conversion commands (code below), the resulting audio is either silent or corrupted, indicating potential stereo channel cancellation.
I tried to load the audio into Python and calculate phase and cross-correlation, but this step uses a lot of memory, especially for a 6-hour-long audio.
I'm seeking a method, preferably using ffmpeg, to detect if stereo channels are canceling each other out due to phase misalignment. Additionally, I aim to automate the process of phase inversion before converting to mono to ensure the integrity of the resulting audio.
How can I automatically detect if stereo channels are canceling each other and subsequently invert the phase to ensure successful conversion to mono using ffmpeg? Any insights, solutions, or alternative approaches would be greatly appreciated.
yt-dlp.ffmpeg, resulting in silent or corrupted output.yt-dlp -f bestaudio https://www.youtube.com/watch?v=s3QB_rJzH08 -o input.webm
The resulting file is silent or corrupted
ffmpeg -i input.webm -ac 1 -ar 16000 -c:a pcm_s16le output.wav
The resulting file has audio
ffmpeg -i input.webm -af "aeval=val(0)|-val(1)" -ac 1 -ar 16000 -c:a pcm_s16le output.wav
FFmpeg has a phase difference detection filter.
ffmpeg -i input.webm -af "aphasemeter=video=0:phasing=1:angle=90:duration=1:tolerance=0.001,ametadata=print:file=aphase.log" -vn -f null -
The file aphase.log will contain a per-frame log of phase difference in the format
frame:17302 pts:19931904 pts_time:451.971
lavfi.aphasemeter.phase=0.224391
The phase value can range from -1 to +1. -1 indicates the channels are completely out of phase and 1 means channels are in phase.
If the channels are out of phase, ffmpeg will also print a summary reading in the console log.