Valerio Velardo - The Sound of AI Courses

How to Conduct Literature Review Effectively

7 ratings

Learn effective literature review techniques, from selecting relevant papers to organizing references. Gain insights on note-taking, resource selection, and summarizing findings for successful research.

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

Limitations and Future Vision of Generative Music AI

1 rating

Explore limitations of generative music AI, including deep learning challenges, music representation issues, and research procedures. Discover potential solutions and future directions in this field.

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

Custom Audio PyTorch Dataset with Torchaudio

1 rating

Learn to create a custom audio dataset using PyTorch and torchaudio, focusing on the UrbanSound8K dataset. Explore basic I/O functions in torchaudio and implement essential dataset class methods.

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

Intensity, Loudness, and Timbre

1 rating

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
• Self-Paced
• Free Video

Music Theory Concepts for Melody Generation

1 rating

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
• Self-Paced
• Free Video

AI, Machine Learning and Deep Learning

1 rating

Explore AI, machine learning, and deep learning concepts, including supervised, unsupervised, and reinforcement learning paradigms. Learn when to use traditional ML or deep neural networks for audio applications.

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

Transformers Explained - Part 1: Generative Music AI

Comprehensive exploration of transformer architectures in AI, covering intuition, theory, and mathematical formalization, with focus on their application in music and audio processing.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Transformers for Generative Music AI - Part 2: Decoder and Music Generation

Explore transformer architecture for music AI, focusing on decoder components, masked attention, and practical tips for generating music. Dive into future research and neuro-symbolic integration for robust music generation.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Melody Generation with Markov Chains - Generative Music AI

Implement a Markov chain in Python to generate melodies, exploring the MarkovChainMelodyGenerator class, training process, and generation methods for AI-driven music creation.

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

Drum Generation with Cellular Automata - Lecture 14

Implement a Python-based cellular automaton for generating unique drum patterns, exploring rules for syncopation, accenting, and mutation in algorithmic music composition.

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

Generative Music AI: Use Cases and Business Opportunities - Lecture 4

Explore generative music AI systems, their classification, and real-world applications. Discover business opportunities in text-to-music, voice cloning, accompaniment, and sound synthesis.

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

Ethical Implications of Generative Music AI - Lecture 5

Explore ethical challenges of generative music AI: copyright issues, musician displacement, energy use. Learn golden rules, legal implications, and potential future regulations in this thought-provoking discussion.

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

Symbolic vs Audio Generation in Generative Music AI

Explore symbolic and audio representations in generative music AI, comparing their advantages and applications. Gain insights into music representation techniques for AI-driven composition.

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

Generative Techniques for Music AI

Explore diverse techniques for AI music generation, from symbolic AI to deep learning, covering optimization algorithms, complex systems, and statistical methods. Gain insights into key approaches and their applications.

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

5 Open Source Generative Music AI Models You Can't Miss

Explore five cutting-edge open-source AI models for music generation, covering both symbolic and audio domains, to enhance your AI music systems development.

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