big fan of spectral processors which are more than just radio shack graphic EQs. i was dismayed at a "comparison video" that was biased in favor of the verbos bark over the fraptools furmana which the OP didn't like the HFs for, but in both up and down frequency sweeps, he NEVER allowed the fraptools to do just bass while starting and stopping on the verbos' bass. had the video been unbiased, the fumana would have CRUSHED the bark in the 15Hz infrasonic and 65Hz bands it doesn't have and even its 90Hz band is a bit lower with a 122Hz band just on the other side of it making it better for bass boosting and adding resonant fatness the bark can't. maybe the fumana is more precise and even "clinical" sounding, but it's easy to add hair to any signal.
as the sonic possibilities adding harmonics to sounds to refine them along with vocoding, pseudo-stereo comb filtering, and envelope following and or triggering at specific frequencies etc. are all cool tools in my world, I decided to graph the bands of the 5 most well known units to help others looking into them with specs. I was liking the sputnik buchla clone for its compact dimensions, illuminated sliders & basic look until i noticed it only goes down to 100 when bass super important for dance beats and the serge unit has 29 and 61Hz bands covering both sub limits and 60Hz hum bands and then saw the fumana does infra and ultrasonic air bands.
here's lists of the bands each unit has
Fumana:
15 | 65 | 90 | 122 | 170 | 230 | 320 | 435 | 600 | 825 | 1.1k | 1.5k |3k | 4k | 5.5k | 22k
Serge:
29 | 61 | 115 | 218 | 411 | 777 | 1.5k | 2.8k | 5.2k | 11k
Buchla 296t, Sputnik:
100 | 150 | 250 | 350 | 500 | 630 | 800 | 1k | 1.3k | 1.5k | 2k | 2.6k | 3.5k | 5k | 8k | 10k
Verbos Bark:
100 | 300 | 510 | 770 | 1.08k | 1.48k | 2k | 2.7k | 3.7k | 5.3k | 7.7k | 10.5k
here's a graph with each unit's center frequencies, stacked when units share a common one. I didn't offset the bark's 1.48 just below the other units' 1.5 as I was just trimming each color's bands until I got to that and would have had to make 4 new segments to be precise. it's a bit too small of a difference to even be visible anyways. the colors in the graph are the same as the text
![Image]()
hope this helps the community. despite a love for filters, I'm thinking my thinking is more west coast than east despite my origins
as the sonic possibilities adding harmonics to sounds to refine them along with vocoding, pseudo-stereo comb filtering, and envelope following and or triggering at specific frequencies etc. are all cool tools in my world, I decided to graph the bands of the 5 most well known units to help others looking into them with specs. I was liking the sputnik buchla clone for its compact dimensions, illuminated sliders & basic look until i noticed it only goes down to 100 when bass super important for dance beats and the serge unit has 29 and 61Hz bands covering both sub limits and 60Hz hum bands and then saw the fumana does infra and ultrasonic air bands.
here's lists of the bands each unit has
Fumana:
15 | 65 | 90 | 122 | 170 | 230 | 320 | 435 | 600 | 825 | 1.1k | 1.5k |3k | 4k | 5.5k | 22k
Serge:
29 | 61 | 115 | 218 | 411 | 777 | 1.5k | 2.8k | 5.2k | 11k
Buchla 296t, Sputnik:
100 | 150 | 250 | 350 | 500 | 630 | 800 | 1k | 1.3k | 1.5k | 2k | 2.6k | 3.5k | 5k | 8k | 10k
Verbos Bark:
100 | 300 | 510 | 770 | 1.08k | 1.48k | 2k | 2.7k | 3.7k | 5.3k | 7.7k | 10.5k
here's a graph with each unit's center frequencies, stacked when units share a common one. I didn't offset the bark's 1.48 just below the other units' 1.5 as I was just trimming each color's bands until I got to that and would have had to make 4 new segments to be precise. it's a bit too small of a difference to even be visible anyways. the colors in the graph are the same as the text
![Image](http://i.ibb.co/f4tTmQs/spectral-processor-bands-comparison-graph.jpg)
hope this helps the community. despite a love for filters, I'm thinking my thinking is more west coast than east despite my origins
Statistics: Posted by bubblefunk — Fri Apr 12, 2024 2:54 pm — Replies 2 — Views 64