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

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

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

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

Text-to-Speech and Voice Cloning Course - Course Overview

Master AI-powered text-to-speech and voice cloning technologies, from neural vocoders to emotional speech synthesis, designed for ML engineers and developers.

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

Text-to-Speech and Voice Cloning Course - Demystifying TTS and Voice Cloning

Uncover how AI generates speech through TTS and voice cloning, exploring zero-shot techniques, speaker embeddings, quality tradeoffs, and ethical considerations in 40 minutes.

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

Text-to-Speech and Voice Cloning Course - How Machines Process Text

Explore how TTS systems transform raw text into speech-ready phonemes, covering normalization, grapheme-to-phoneme conversion, and solving ambiguity challenges in AI speech synthesis.

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

3rd Generative AI Music Workshop - Presentations

Discover innovative AI music technologies developed by workshop participants at University Pompeu Fabra, featuring 9 unique generative music projects and their creators' presentations.

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

Text-to-Speech and Voice Cloning Course - How Humans Speak

Explore the biology and physics of human speech production, from phonemes to vocal folds, to understand why creating realistic AI text-to-speech systems is so challenging.

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

Generative Music AI Course

Master AI-powered music creation through generative techniques, from Markov chains to transformers, targeting both technologists and musicians seeking creative applications.

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

Uncle Bob SOLID Principles for ML Engineers

Master SOLID principles to write cleaner, more maintainable machine learning code with practical examples and real-world applications for ML engineers.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

PyTorch for Audio and Music Processing

Master PyTorch and torchaudio for deep learning in audio and music processing, including neural networks, mel spectrograms, CNNs, and GPU-accelerated sound classification.

• YouTube
• 2 hours 55 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• Free Video