Zane in deep concentration. More snare!
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Jordan McDonald-Carr ready to graduate!
Sorrynotsorry liebe Nachbarn, ich brauchte eine kleine Musiktherapie mit einem meiner mittelgroßen „Bestecke“ 
#audio #beschallung #pa #music #soundengineering
Another day, another office! Today is a burlesque show! #SoundEngineering #OfficeOfTheDay
Office for the evening! #SoundEngineering #OfficeForTheDay
Fortgeführter Thread
At the end of WWII, the Soviet Union shifted its censorship into high gear in order to minimize the corrupting influence of the West. The punishment for disseminating banned materials could be imprisonment in a gulag, or even death. But that didn’t stop the enterprising, innovative people of the former USSR. @TheConversationUS explains “bone music,” where recordings of Ella Fitzgerald and Elvis were etched into used X-ray film. “The music … suggested that a different sort of life is possible, beyond the strictures of Communist officials. How could a political system that prohibited beautiful music, many asked, possibly merit the allegiance of its citizens?”
The ConversationWhen Elvis and Ella were pressed onto X-rays – the subversive legacy of Soviet ‘bone music’The bizarre, homemade technology became a way to skirt censors in the Soviet Union – and even played an indirect role in its dissolution.
Rock On Baby! It's never too soon to start planning your career at Omega!
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Today I did a brief training session on my short scale Bass using only the 19-inch rack mount effect.
I configured the effect with the Leslie FX, a system with a rotating speaker rotating drum and many other parameters which you can also overdrive to get nice crunchy sounds.
#FX #Effect #chords
#Music #Audio #Bass #ShortScale #Behringer #Guitar #SoundEngineering #Joyo #Pedal
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I've had a very nice vocal session with my Joyo Vocal effect pedal.
I can harmonize easily with this pedal multiplying My Voice output to smooth chords
#Vocal #FX #Effect #chords
#Music #Audio #Bass #ShortScale #Behringer #Guitar #SoundEngineering #Joyo #Pedal
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The piano work by Oscar Peterson is just Divine
#MasterTape #OscarPeterson
#Music #Audio #Bass #ShortScale #Behringer #Guitar #SoundEngineering #Joyo #Pedal
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Now recording on MasterTape Oscar Peterson - Give me the Simple Live
#MasterTape #OscarPeterson
#Music #Audio #Bass #ShortScale #Behringer #Guitar #SoundEngineering #Joyo #Pedal
A student finishing his final project on the Neve VR60.
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Van Halen Bass man Anthony Precision Bass History 70 years Michaël Anthony
Band Snake 
Metal San Gabriel Valley Mammoth with Van Halen
Mammoth Bassist had lost Bass man. So Anthony Bass man from Snake was asked to come in since he played fantastic with them. For Anthony it was launching pad into good music, giving great high pitched backing vocals
#Music #Audio #Bass #Guitar #SoundEngineering #Joyo #Pedal #VanHalen #Fender #Mustang #Michaël #Anthony #Snake
www.youtube.com- YouTubeAuf YouTube findest du die angesagtesten Videos und Tracks. Außerdem kannst du eigene Inhalte hochladen und mit Freunden oder gleich der ganzen Welt teilen.
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Awesome pedal also good for Bass just put Bass pedal with tone correction after it.
Update: Thanks to @furicle for this suggestion. I think it's about perfect:
tmp $ AV_LOG_FORCE_NOCOLOR=true ffmpeg -hide_banner -i example.opus -filter:a volumedetect -f null /dev/null
Input #0, ogg, from 'example.opus':
Duration: 02:13:19.89, start: 0.007500, bitrate: 118 kb/s
Stream #0:0(eng): Audio: opus, 48000 Hz, stereo, fltp
Metadata:
encoder : Lavf58.45.100
[Parsed_volumedetect_0 @ 0x563ea07eeb00] n_samples: 0
Stream mapping:
Stream #0:0 -> #0:0 (opus (native) -> pcm_s16le (native))
Press [q] to stop, [?] for help
Output #0, null, to '/dev/null':
Metadata:
encoder : Lavf61.7.100
Stream #0:0(eng): Audio: pcm_s16le, 48000 Hz, stereo, s16, 1536 kb/s
Metadata:
encoder : Lavc61.19.101 pcm_s16le
[Parsed_volumedetect_0 @ 0x7f9920003c00] n_samples: 767987856
[Parsed_volumedetect_0 @ 0x7f9920003c00] mean_volume: -21.0 dB
[Parsed_volumedetect_0 @ 0x7f9920003c00] max_volume: -2.8 dB
[Parsed_volumedetect_0 @ 0x7f9920003c00] histogram_2db: 1
[Parsed_volumedetect_0 @ 0x7f9920003c00] histogram_3db: 70
[Parsed_volumedetect_0 @ 0x7f9920003c00] histogram_4db: 3872
[Parsed_volumedetect_0 @ 0x7f9920003c00] histogram_5db: 98331
[Parsed_volumedetect_0 @ 0x7f9920003c00] histogram_6db: 750534
[out#0/null @ 0x563ea084bf80] video:0KiB audio:1499976KiB subtitle:0KiB other streams:0KiB global headers:0KiB muxing overhead: unknown
size=N/A time=02:13:19.87 bitrate=N/A speed= 573x
Dear sound/audio folks and engineers,
[Update: just for clarity: I'm looking for a command line utility that will help me decide which of 70 audio recordings need amplification/compression/normalization. Something that can print out media stats like average loudness, or something like that]
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!!
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Good lessons on bass fundamentals from Scotts Bass Lessons great player
7 Bass Lines to take YOU from ZERO to HERO (Beginner friendly)
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I am making a very nice recording, this time in the K Desktop Environment, on one of my master tapes.
I'm recording Herbie Hancock I'll make another post separately about that. The manner in which the Bass player is handling the double bass is amazing!
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This is a very well explained video about a complex yet interesting device to use on your guitar or base amplifier which enables you to drop the need to connect a speaker cabinet.