Audio Signal Processing Courses and Certifications

Valerio Velardo - The Sound of AI

Audio Signal Processing for Machine Learning

Master audio signal processing fundamentals and extract features from raw audio data using Python to build powerful AI applications with hands-on implementation techniques.

• YouTube
• 10 hours 24 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

Automatic Song Remixes With Audio Signal Processing and Simple Machine Learning

Explore Python-based Infinite Remixer for automatic song remixes using beat tracking and Nearest Neighbours search. Learn system design, usage, experiments, and potential improvements for innovative music creation.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Stanford;  Universitat Pompeu Fabra

Audio Signal Processing for Music Applications

294 ratings at Coursera

Explore audio signal processing for music, covering spectral techniques, Fourier transforms, sinusoidal models, and sound transformations. Learn to analyze, synthesize, and describe audio signals using Python.

• Coursera
• 2 days 1 hour 11 minutes
• On-Demand
• Paid Course

Real-Time Audio Signal Processing in Faust

Explore audio signal processing with Faust, implementing synthesizers and effects from scratch. Learn to create professional-grade applications for various platforms and embed DSP engines in larger projects.

• Kadenze
• 60 hours
• On-Demand
• Free Online Course

Valerio Velardo - The Sound of AI

Intensity, Loudness, and Timbre

1 review

Explore sound power, intensity, loudness, and timbre, covering key concepts like amplitude envelope, harmonic content, and modulation. Gain insights into audio signal processing for machine learning.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

Extracting Mel Spectrograms with Pytorch and Torchaudio

Master Mel Spectrogram extraction using PyTorch and torchaudio. Learn key audio transformations, resampling techniques, and practical implementation for audio processing tasks.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

Mel-Frequency Cepstral Coefficients Explained Easily

Explore Mel-Frequency Cepstral Coefficients (MFCCs) in audio processing, covering their history, computation, visualization, and applications in speech and music analysis.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

How to Extract Root-Mean Square Energy and Zero-Crossing Rate from Audio

Explore audio feature extraction using Python: learn to calculate Root-Mean Square Energy and Zero-Crossing Rate, and analyze their variations across music genres and audio sources.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

Extracting the Amplitude Envelope Feature From Scratch in Python

Aprenda a extrair a envoltória de amplitude em Python usando Librosa, implementando-a do zero e analisando diferenças entre gêneros musicais através de processamento e visualização de áudio.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

How to Extract Audio Features

Explore acoustic feature extraction from audio signals, covering time and frequency domains, spectral leakage, windowing, frames, and hop length for enhanced audio processing understanding.

• YouTube
• 22 minutes
• On-Demand
• Free Video

ADC - Audio Developer Conference

Point to Point Modeling: An Automatic Circuit Solving Library

Explore an automatic circuit solving library for simulating analog audio circuits. Learn to implement and analyze component-level circuits for real-time plugins and mobile apps.

• YouTube
• 44 minutes
• On-Demand
• Free Video

ADC - Audio Developer Conference

Recent Trends in Virtual Analog Modeling Based on Nonlinear Wave Digital Filters

Explore recent advancements in virtual analog modeling using nonlinear Wave Digital Filters. Gain insights into emulating complex audio circuits with multiple nonlinearities for improved stability, accuracy, and efficiency.

• YouTube
• 46 minutes
• On-Demand
• Free Video

ADC - Audio Developer Conference

A Comparison of Virtual Analog Modelling Techniques - Part 2

Explore virtual analog modeling techniques, from traditional methods to neural networks and grey-box approaches, using the Boss DS-1 guitar pedal as an example. Compare generalization and problem-solving across different circuit types.

• YouTube
• 45 minutes
• On-Demand
• Free Video

ADC - Audio Developer Conference

Digital Modelling of the Roland RE-201 - ADC23

Explore digital modelling of the Roland RE-201, analyzing subsystems and challenges in achieving perceptual accuracy in software simulations. Compare various modelling methods for this iconic device.

• YouTube
• 32 minutes
• On-Demand
• Free Video

ADC - Audio Developer Conference

Real-Time, Low Latency and High Temporal Resolution Spectrograms

Explore Resonate algorithm for real-time spectral analysis with low latency and minimal computational cost, featuring Swift, C++, and Python implementations.

• YouTube
• 41 minutes
• On-Demand
• Free Video