Valerio Velardo - The Sound of AI Courses

Autoencoders Explained Easily

Intuitive explanation of autoencoders, covering key concepts like representation learning and latent space, with applications in data generation, denoising, and anomaly detection.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

How to Select a Research Topic for Your Paper

Learn effective strategies for selecting engaging AI audio research topics, from brainstorming concepts to developing research questions and approaches, ensuring your paper aligns with conference themes and personal interests.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Sound Generation with Deep Learning - Approaches and Challenges

Explore deep learning approaches for sound generation, including raw audio and spectrogram methods. Learn about challenges, architectures, and inputs used in creating AI-generated audio.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Covid-19 and Cough - This AI Predicts if You Have the Infection - Paper Explained

Análisis detallado de un sistema de IA que diagnostica COVID-19 mediante grabaciones de tos, explicando su funcionamiento, arquitectura y precisión.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Announcing OpenSource Research - A Community-Driven Research Project

Participate in OpenSource Research, a collaborative AI music project aiming to advance the field through community-driven research and potential conference publication.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

How to Read AI Research Papers Like a Rockstar

Learn a 4-step strategy to effectively read and comprehend AI audio research papers, enhancing your skills as an AI engineer and fostering critical thinking in the field.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• Free Video

Mel Spectrograms Explained Easily

Comprehensive exploration of Mel spectrograms, their creation, differences from standard spectrograms, and applications in AI audio, including discussions on Mel scale and filter banks.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Short-Time Fourier Transform Explained Easily

Explore the Short-Time Fourier Transform's theory and applications in AI audio processing, including spectrogram extraction for deep learning models, explained visually and intuitively.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

How to Extract the Fourier Transform with Python

Extract and visualize Fourier Transform from audio using Python and Numpy. Compare magnitude spectra of the same note on different instruments, with practical code examples provided.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Discrete Fourier Transform Explained Easily

Explore the Discrete Fourier Transform's adaptation for digital signals, its visual interpretation, and practical hacks for time and frequency domains in audio signal processing.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Defining the Fourier Transform with Complex Numbers

Explore complex numbers in Fourier transform, including coefficients, visual interpretation, and inverse transform. Gain insights into elegant mathematical representations for audio signal processing.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Complex Numbers for Audio Signal Processing

Explore complex numbers visually for audio signal processing, covering Cartesian and polar representations, Euler's formula, and their application in Fourier transforms.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Demystifying the Fourier Transform - The Intuition

Gain intuitive understanding of the Fourier Transform for audio signal processing through visual explanations, avoiding complex math while focusing on practical applications in frequency domain analysis.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• Free Video