Valerio Velardo - The Sound of AI Courses

How to Conduct Literature Review Effectively

2 reviews

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
• On-Demand
• Free Video

Custom Audio PyTorch Dataset with Torchaudio

1 review

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
• On-Demand
• Free Video

Intensity, Loudness, and Timbre

1 review

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
• On-Demand
• Free Video

AI, Machine Learning and Deep Learning

1 review

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
• On-Demand
• Free Video

MusicLM Generates Music From Text - Paper Breakdown

Detailed breakdown of Google's MusicLM, exploring its architecture, training, and capabilities in generating music from text prompts. Insights on its impact and limitations in AI-driven music creation.

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

Build a Spotify-Like Music Recommender System in Python

Create a Spotify-like music recommender system using Python, collaborative filtering, and Alternating Least Squares. Learn about music recommendation types, Spotify's architecture, and implement artist suggestions with the 'implicit' library.

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

OpenSource Research Project - Post-Mortem Analysis

Insights into a pioneering community-driven research project: organization, phases, and lessons learned from collaborative paper publishing in AI and sound generation.

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

How to Deploy ML Models in Production with BentoML

Learn to deploy Machine Learning models in production using BentoML, covering installation, model saving, service creation, bento building, and Docker containerization. Includes hands-on examples and practical deployment steps.

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

The Most Inspiring Music Tech Projects You've Seen in a While

Explore innovative AI music projects from The Sound of AI Hackathon, covering diverse areas like music recommendation, audio generation, DJ-ing, and denoising.

• YouTube
• 2 hours 9 minutes
• On-Demand
• Free Video

Neural Synthesis & Generative Music - CJ Carr's Keynote Talk at the 1st TSOAI Hackathon

CJ Carr explores neural audio synthesis, sharing experiences with Dadabots and insights on generating music using neural networks. He discusses open-source models and various applications of AI in music creation.

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

Audio Processing in Keras with Kapre

Learn to process audio in Keras using Kapre, exploring its advantages, features, and implementation. Discover how to embed audio transformations within deep learning models for optimized GPU-based calculations and easier deployment.

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

This AI Can Solve Tasks - Paper Analysis of Gato by DeepMind

Explore DeepMind's Gato, a revolutionary AI agent capable of 600+ tasks. Discover its potential for general intelligence, performance analysis, and the ethical implications of advancing towards AGI.

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

How Does Recursive Music Sound?

Explore recursion in Python through creative applications like generating music, fractals, and sentences. Learn implementation techniques and understand recursive concepts with practical examples.

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

How to Implement Audio Data Augmentation in Python

Implement audio data augmentation techniques in Python, including noise addition, time stretching, pitch scaling, polarity inversion, and random gain, with practical code examples.

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

Batch Preprocess Audio Datasets in 1 Command

Explore praudio, a Python library for efficient audio dataset preprocessing. Learn its design, implementation, and usage for streamlining complex audio processing tasks in AI projects.

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