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Simple Bandstop & Bandpass Python Implementation (+ Filter Sweep Effect!) [AudioFX #012]
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Hi, my name is Jan Wilczek. I am an audio programmer and a researcher. Welcome to WolfSound!
WolfSound enables everybody to learn about audio programming!
ABOUT THE VIDEO
In this video, I implement an allpass-based bandstop (notch) filter and a bandpass filter in Python. These structures have real-time center frequency and bandwidth control. Using these filters, I generate the filter sweep effect. I also show how to implement a simple fade-in and a fade-out.
In case of any doubt in understanding, please, refer to the article above or ask a question in the comments 🙂
Video edited by Vadzim Vezhnavets.
Background music composed and produced by Jan Wilczek.
ABOUT ME
FOLLOW WOLFSOUND ONLINE
TIME CODES
00:00 Introduction & Demo
01:19 Importing libraries
01:28 main() function
06:08 bandstop_bandpass() function
13:01 Fade-in and fade-out implementation
14:48 Final demonstration
15:40 Summary
#python #dsp
Hi, my name is Jan Wilczek. I am an audio programmer and a researcher. Welcome to WolfSound!
WolfSound enables everybody to learn about audio programming!
ABOUT THE VIDEO
In this video, I implement an allpass-based bandstop (notch) filter and a bandpass filter in Python. These structures have real-time center frequency and bandwidth control. Using these filters, I generate the filter sweep effect. I also show how to implement a simple fade-in and a fade-out.
In case of any doubt in understanding, please, refer to the article above or ask a question in the comments 🙂
Video edited by Vadzim Vezhnavets.
Background music composed and produced by Jan Wilczek.
ABOUT ME
FOLLOW WOLFSOUND ONLINE
TIME CODES
00:00 Introduction & Demo
01:19 Importing libraries
01:28 main() function
06:08 bandstop_bandpass() function
13:01 Fade-in and fade-out implementation
14:48 Final demonstration
15:40 Summary
#python #dsp
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