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Signal Processing Course

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

What will I learn?

Gain essential skills to confidently inspect, clean, and optimise speech audio. Master digital audio fundamentals, waveform and spectrogram analysis, and vital metrics such as SNR. Apply practical techniques including filtering, spectral subtraction, compression, and de-essing with MATLAB or Python, while producing clear, reproducible reports and structured listening tests.

Elevify advantages

Develop skills

  • Master audio inspection: swiftly identify noise, hum, and artefacts in professional waveforms.
  • Design practical filters: create HPF, notch, and spectral denoisers using MATLAB or Python.
  • Build speech cleanup workflows: assemble efficient HPF-notch-NR-compression-EQ chains rapidly.
  • Control dynamics and EQ: apply gates, compressors, and de-essers for pristine speech clarity.
  • Produce reproducible reports: record 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 say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change 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 way videos are presented and transcribed, 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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