My 2017 reply.

My thought on this project is based on the “My Neighbor Totoro” original english DUB - I’d love to hear the vocal talent from that release grafted onto the higher quality soundtrack backing the Japanese and Disney DUB. Of course, this only even theoretically works if the audio is in perfect sync.

Cool.

Usually when you combine audio or video, you use a regular mean average. Sometimes when you’re capturing video and want to remove artifacts, you use a median average that eliminates outliers. What you don’t see a lot is MODE averaging, where the most commonly occurring pixel or sample is used.

Okay.

I’m proposing a potential breakthrough in movies with dubbing at least, using a MODE average process to compare and combine audio tracks on a Per-Sample basis (or 1ms basis… just something very small).

No, mode is probably not going to work because probably not perfectly sync. YOu can try, but you will likely not get what you want.

If you wanted to do something roughly using average modes, it wouldn’t work in the time domain, you’d need to use FFT. And it would be eaxsiet to use 2 languages only, to do a ‘minimum of’ bins in the frequency domain, instead of mode. This tool does not exist yet. Lets’ take a look again at the motive:

I’d love to hear the vocal talent from that release grafted onto the higher quality soundtrack backing the Japanese and Disney DUB.

Okay. So if this is ur motive, you can do center channel removal of a stereo track, and then place it behind the mono EN dub.

Or, take the side channel of any stereo track, and then place it behind the mono EN dub.

Drawbacks of both methods: may be too much or too little content, and unstable imaging.

NB: I haven’t tried any of these things btw.