Florian
@zersiax@cupoftea.social  路  activity timestamp 14 hours ago

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! 馃槉 #accessibility
CryptGoat
@cryptgoat@fedifreu.de  路  activity timestamp 3 weeks ago
#Bluetooth was a mistake: Millions of Bluetooth headphones can potentially be turned in eavesdropping devices. Best-seller #Sony and #Bose #headphones are affected by at least some of the disclosed flaws among many others. The true dimension of these flaws is yet unknown as the the vulnerable component is very widely in use under different names.

https://www.heise.de/en/news/Zero-day-Bluetooth-gap-turns-millions-of-headphones-into-listening-stations-10460704.html

Disclosure of the vulnerabilities: https://insinuator.net/2025/06/airoha-bluetooth-security-vulnerabilities/

No updates or official statements available yet. 鈽狅笍

#Security#Privacy#Audio#Airoha#ZeroDay
small circle 馃晩 in calmness
@smallcircles@social.coop  路  activity timestamp last month

Dodge the dodgy #AI infested corporate #streaming services and zoom out, as on the #fediverse we own the stream. Here are platforms that offer #streaming of #video or #audio in real time or near real time, with live chat and other #social capabilities.

On the fediverse our 馃挏 #lifestreams meet people and humanity and we engage our favorite fedi crowds. Fedi is where outreach matters.

#Librecast LIVE. @librecast is a research project aiming to bring #Multicast to the masses.

#Owncast. @owncast
R.L. Dane :Debian: :OpenBSD: 馃嵉
@rl_dane@polymaths.social  路  activity timestamp 3 months ago

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