Here's another one for the #blind#hiveMind primarily, but feel free to chime in if you have a good idea.
For an upcoming video/stream, I am looking into video editing as a #screenReader user. I'd like to cover both #mac and #windows and am curious what solutions have worked well for people in the past.
Conditions are no mouse usage at all, app needs to be screenreader-compatible, ideally somewhat full-featured both for #audio and #video.
Be it #iMovie, #Clipchamp, #quicktime, #reaper, a dreaded #AI tool, tell me thy success stories, thy struggles and thy findings! 😊 #accessibility

A question for the #hivemind - I need a #printer for home, is the consensus still "Just get a Brother"?

Dear sound/audio folks and engineers,

I have a directory with 3.5GiB of audio files (chiefly opus & m4a) which are spoken word recordings.

Some of them are quite low, and some of them are quite dynamic such that it's a whisper at times and nearly a shout at other times.

I've processed a lot of them with #audacity's compressor filter or #ffmpeg (ffmpeg -i audio.m4a -filter:a "speechnorm=e=50:r=0.0001:l=1" audio-normalized.m4a), but there are some unprocessed files in the collection, which are a pain to individually find and fix.

Is there a way from the #CommandLine to detect the loudness and/or dynamic range of audio files so that I can automatically flag them for processing with ffmpeg?

Thanks!!

#audio #sound #SoundEngineering #AskFedi #HiveMind