Valerio Velardo - The Sound of AI Courses

Batch Preprocess Audio Datasets in 1 Command

Learn how the praudio Python library batch-processes entire audio datasets through configurable transforms and preprocessors in a single command.

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

Pre-Processing Audio with Different Durations

Learn to standardize variable-length audio by cutting waveforms and applying right-side zero padding in a PyTorch dataset.

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

Extracting Mel Spectrograms with Pytorch and Torchaudio

Extract Mel spectrograms from audio with Torchaudio, including resampling signals and mixing them down to mono in a PyTorch dataset.

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

Implementing and Training a Neural Network with PyTorch

Build and train a feed-forward neural network in PyTorch, using MNIST digit classification to explore datasets, data loaders, and training loops.

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

The Art of Asking Effective Questions - Tips and Strategies

Strategies for asking thoughtful, well-contextualized questions that improve workplace communication and increase the likelihood of receiving useful answers.

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

Automatic Song Remixes With Audio Signal Processing and Simple Machine Learning

Learn how Infinite Remixer uses beat tracking, chromograms, MFCCs, and nearest-neighbor search to create automatic song remixes.

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

Generating Sound Digits with a Variational Autoencoder

Use a trained variational autoencoder to generate sound-digit spectrograms and convert them into audio.

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

Preprocessing Audio Datasets for Machine Learning

Build a Python audio preprocessing pipeline that batches files, extracts log spectrograms, pads data, and normalizes features for AI applications.

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

How to Implement a Variational Autoencoder in Python and Keras

Implement a Variational Autoencoder in Python and Keras, from modifying the encoder bottleneck and loss to training and visualising its latent space.

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

How Is AI Revolutionising Music?

Explore how generative music tools are changing listening, music creation, and soundtrack production for media.

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

Great AI Music Projects for Your Portfolio

Seven AI music project ideas—from genre classification and recommendation to accompaniment and noise cancellation—for building an AI engineering portfolio.

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

From Autoencoders to Variational Autoencoders - Improving the Encoder

Learn how multivariate normal distributions transform vanilla autoencoders into variational autoencoders with smoother latent spaces for generative tasks.

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

Generation with AutoEncoders - Results and Limitations

Generate handwritten-digit images with an autoencoder, visualize its latent representation, and examine why variational autoencoders improve generative results.

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

Building and Training an Autoencoder in Keras - TensorFlow - Python

Build and train an autoencoder in Python with Keras and TensorFlow using encoder-decoder architecture and the MNIST dataset.

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

How to Implement Autoencoders in Python and Keras - The Encoder

Implement an autoencoder’s encoder in Python and Keras, adding convolutional layers and a bottleneck with TensorFlow.

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