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Signal Processing Course

Signal Processing Course
4 to 360h flexible workload
certificate valid in your country

What will I learn?

Gain essential skills in signal processing to confidently inspect, clean, and enhance speech audio. Master digital audio fundamentals, waveform and spectrogram analysis, and metrics like SNR. Apply practical techniques including filtering, spectral subtraction, compression, and de-essing with MATLAB or Python, while creating reproducible reports and structured listening tests.

Elevify advantages

Develop skills

  • Master audio inspection to quickly identify noise, hum, and artifacts in professional waveforms.
  • Design practical filters like HPF, notch, and spectral denoisers using MATLAB or Python.
  • Build efficient speech cleanup workflows combining HPF, notch, noise reduction, compression, and EQ.
  • Control dynamics and EQ with gates, compressors, and de-essers for pristine speech clarity.
  • Create reproducible reports logging settings, plots, and results for dependable signal analysis.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students are saying

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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