Signal Processing Course
This course equips you with essential audio signal processing skills for electronics applications. Learn to clean speech audio, eliminate hum and noise, design filters and compressors, and document outcomes clearly using MATLAB or Python. Develop reliable, reproducible processing workflows suitable for labs, products, and demonstrations.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain practical skills to confidently inspect, clean, and optimise speech audio. Master digital audio basics, waveform and spectrogram analysis, and metrics like SNR. Apply real-world 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 chains: develop efficient HPF-notch-NR-compression-EQ workflows.
- Control dynamics and EQ: apply gates, compressors, and de-essers for pristine speech.
- 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.What our students say
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