Valerio Velardo - The Sound of AI Courses

Preprocessing Song Dataset for Melody Generation - Part 1

Learn to preprocess song datasets using music21 in Python. Transpose songs to Cmaj/Amin, filter by note values, and manipulate symbolic music for melody generation projects.

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

Music Theory Concepts for Melody Generation

Explore essential music theory concepts for encoding melodies and training neural networks in AI-driven music generation, focusing on key elements like pitch notation, time signatures, and scales.

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

Deploying the Speech Recognition System on Amazon AWS

Learn to deploy a speech recognition system on Amazon AWS EC2, covering Docker setup, instance creation, code transfer, and firewall configuration for cloud-based implementation.

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

Deploying the Speech Recognition System on Docker with NGINX

Learn to deploy a speech recognition system using Docker and NGINX, covering containerization, orchestration, and configuration for efficient application deployment.

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

Preparing the Speech Dataset

Learn to preprocess voice data by extracting MFCCs and saving them in JSON format, essential for speech recognition and audio analysis projects.

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

How to Become an AI Music Expert

Explore academic and self-taught paths to master AI music, including key institutions, conferences, and journals. Learn essential skills and gain insights into the field's latest developments.

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

Long Short Term Memory Networks Explained Easily

Comprehensive explanation of LSTM networks, comparing them to simple RNNs and exploring their architecture and mathematical foundations for improved sequence learning.

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

Recurrent Neural Networks Explained Easily

Explore Recurrent Neural Networks: architecture, time series, and Back Propagation Through Time. Learn about simple RNN units and their applications in sequence processing tasks.

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

How to Implement a CNN for Music Genre Classification

Implement a CNN for music genre classification using TensorFlow. Learn cross-validation, inference, and practical application with code examples and step-by-step guidance.

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

Convolutional Neural Networks Explained Easily

Explore CNNs, their components, and application to audio data. Learn about convolutions, pooling, and architectural decisions for effective deep learning in sound processing.

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

Solving Overfitting in Neural Networks

Learn techniques to identify and prevent overfitting in neural networks, including early stopping, audio data augmentation, dropout, and L1/L2 regularization, with practical implementation in a music genre classifier.

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

Implementing a Neural Network for Music Genre Classification

Implement a music genre classifier using TensorFlow and MFCC features. Learn key deep learning concepts like binary/multiclass classification, ReLUs, batching, and overfitting while building the neural network.

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

Music Genre Classification - Preparing the Dataset

Learn to preprocess audio data for music genre classification, including extracting MFCCs and labels from the Marsyas dataset and saving in a JSON format for easy retrieval during classifier training.

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

Understanding Audio Data for Deep Learning

Explore fundamental audio processing concepts for deep learning, including waveforms, pitch, Fourier transform, and MFCCs, essential for AI applications in sound analysis.

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

How to Implement a Simple Neural Network With TensorFlow 2

Learn to implement a simple neural network using TensorFlow 2 and Keras for arithmetic sum, covering model building, training, testing, evaluation, and prediction.

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