Valerio Velardo - The Sound of AIHiring audio AI talent or finding a job in the space can be a nightmare. The Sound of AI Recruitment is the only recruitment service focused on hiring audio / music / speech AI talent. Learn more in the video.
Hiring Audio AI Talent? Watch this!Valerio Velardo - The Sound of AI2022-12-08 | Hiring audio AI talent or finding a job in the space can be a nightmare. The Sound of AI Recruitment is the only recruitment service focused on hiring audio / music / speech AI talent. Learn more in the video.
======================================AI Music Concert: 3rd Generative AI Music WorkshopValerio Velardo - The Sound of AI2025-09-09 | Watch the concert of the 3rd Generative AI Music Workshop, organized by The Sound of AI in collaboration with the Music Technology Group. Participants perform using the AI music technologies they developed during the workshop. The workshop was held at University Pompeu Fabra in Barcelona in December 2024.
Content: 0:00 Intro 2:03 Binary Star 12:04 Balkon 16:25 WavePlay 20:12 The Hive 25:44 ChordChemists 29:23 asdf (Working Title) 32:57 Synaesthesia 45:03 LocomIA ChoIAAfter a Year Away: Heres What HappenedValerio Velardo - The Sound of AI2025-08-28 | After more than a year of silence, I’m finally back. In this video, I share what’s been happening in my personal and professional life, why I stopped publishing, and what you can expect from me and this channel going forward. I’ll also tell you about some exciting new projects I’ve been working on, like my book AI Music Revolution, my startup Transparent Audio, and my new Substack on tech & society.
Content: 0:00 Intro 1:02 Personal update 1:58 Workshop on Generative AI Music 3:45 Adjunct Professor of Gen AI Music at MTG 5:21 Writing AI Music Revolution 10:13 Substack on tech & society 10:50 Consultant out, advisor in 14:03 New startup: Transparent Audio 16:16 What next?5 Open Source Generative Music Models You Cant MissValerio Velardo - The Sound of AI2024-05-07 | I introduce 5 open source generative music AI models. They are both in the symbolic and audio space. You can use them to streamline the development of your AI music systems.
Content 0:00 Intro 1:08 MusicGen 6:36 MuseCoco 11:40 Museformer 16:37 RAVE 19:19 MusicAgentI Created An A.I. To ROAST Pop SongsValerio Velardo - The Sound of AI2024-02-27 | I implemented an AI music critic. It turned out to be more funny than I expected.
Content 0:00 Intro 0:50 Why building an AI critic 1:26 How humans judge music 2:58 How AI understands music 3:38 Designing the AI critic 3:51 Essentia 4:26 Implementation 7:48 Running musiccritic 9:08 AI critiques 22 by Taylor Swift 11:50 Differences between human and AI critic 12:56 How to improve the AI critic3 Steps To SUCCEED At Any AI ProjectValerio Velardo - The Sound of AI2024-02-21 | 80% of AI projects fail. Learn how to maximise your success using a proven AI project lifecycle, that emphasizes customer discovery, strategic planning, and iterative development.
Content 0:00 Intro 0:38 Challenges with AI projects 1:05 My mantra 1:28 Customer discovery 3:24 Planning 4:48 Iterative development 5:41 Proof of Concept 6:12 Minimum viable product 6:44 The AI Leader's Blueprint 8:18 Full product 8:58 AI lifecycle in a nutshellOpenAI Sora: Full BreakdownValerio Velardo - The Sound of AI2024-02-19 | OpenAI released Sora, a state-of-the-art text-to-video deep learning model. In this video, I provide a complete breakdown of Sora. You can learn what Sora can do, how it works, its limitations, its emergent properties, its impact, and the safety threats it brings.
Content 0:00 Intro 1:12 10K-foot overview 2:21 Use cases 4:17 How it works 11:10 The AI Leader's Blueprint 12:23 Emerging properties 17:24 Is Sora a world model? 21:49 Limitations 23:59 Impact 28:02 Safety 29:30 Ethical problemsMy new course. Its awesome!Valerio Velardo - The Sound of AI2024-01-11 | "The AI Leader's Blueprint" is a 3-day crash course on Zoom that helps you become an AI leader.
Content 0:00 The AI Leader's Blueprint 0:43 What it takes to be an AI leader 2:17 Course focus 3:06 Who's the course for? 3:35 Teaching style 4:23 Course schedule 4:45 Course website 5:37 What you'll learn 8:45 Why should you attend this course? 10:25 Student's feedback 11:33 What you'll get22. Text-To-Music Generation with Mustango - Generative Music AIValerio Velardo - The Sound of AI2023-12-09 | Learn about text-to-music generation with Mustango.
Content 0:00 Intro 1:00 MusicBench dataset 6:10 Architecture 9:34 Sample generated music 13:48 Generating music with a prompt 17:44 A word from Valerio21. Piano Generation with Compose and Embellish - Generative Music AIValerio Velardo - The Sound of AI2023-12-08 | Learn about Composer & Embellish, a transformer model that generates expressive piano performances. We show the architecture of the model from a bird's eye-view first. Then, we teach you how you can create music with the pre-trained model in a notebook.
Content 0:00 Intro 0:49 How the system work 3:44 Generating music with the model 11:31 Listening to a generated piece 12:56 Donwloading the genererated files 13:40 Visualising the generated score 15:28 Outro20. Audio generation with RAVE - Generative Music AIValerio Velardo - The Sound of AI2023-12-07 | Learn how to perform audio synthesis with the RAVE model (Realtime Audio Variational Autoencoder). We cover the architecture of this variational autoencoder. We also provide a practical session in a Jupyter notebook, where you can quickly generate sounds with RAVE.
Content 0:00 Intro 1:58 Iran's presentation 2:50 Overview 3:18 How RAVE works 5:40 Generating sounds with rave 14:28 Outro19. Melody generation with transformers - Generative Music AIValerio Velardo - The Sound of AI2023-12-06 | Learn how to implement a transformer architecture in TensorFlow to generate melodies end to end. You’ll learn about melody encoding, dataset preprocessing, model building, training, and inference.
Content 0:00 Intro 0:48 What we'll build 7:13 Code overview 7:29 Melody dataset 9:03 MelodyPreprocessor 19:57 Transformer 28:12 Encoder 36:34 EncoderLayer 40:28 Decoder 43:25 DecoderLayer 48:30 MelodyGenerator 54:54 Train script 1:06:19 Runing the train script 1:08:48 Experimenting with the code 1:11:25 What's up next?18. Transformers Explained Easily: Part 2 - Generative Music AIValerio Velardo - The Sound of AI2023-12-04 | Learn about the intuition, theory, and mathematics of the transformer. I focus on the decoder component. I dive deep into masked multi-head attention and all the other sublayers. Learn how to use transformers for music generation. I share tips and tricks from the trenches. I focus on the importance of music representation and music data for generation. I also offer insights into future research in neuro-symbolic integration that can help transformers become more robust for music generation.
Content 0:00 Intro 1:37 Decoder intuition 5:24 Decoder input 6:51 Decoder block 7:21 Training / inference discrepancy 13:10 Masked multi-head attention 20:04 Add & norm 20:25 Multi-head attention 32:40 Feedforward 33:30 Decoder block 35:09 Linear & softmax 38:11 Decoder step-by-step 42:14 Training a transformer 44:05 Music generation with transformers 47:45 Valerio's music generation transformer routine 51:51 Music data is key 53:15 Pros and cons 57:04 Most promising research 1:00:32 Key takeaways 1:02:58 What's up next?17. Transformers Explained Easily: Part 1 - Generative Music AIValerio Velardo - The Sound of AI2023-12-01 | Learn the intuition, theory, and mathematical formalization of transformer architectures, Transformers are widely used in Deep Learning. They now dominate Natural Language Processing, computer vision, and are extensively used in audio and music processing.
Content 0:00 Intro 0:24 Harmonization task 0:55 What we'll build 3:28 Get the code 3:57 Main function: First pass 6:31 Example generation 7:45 MelodyData 10:25 GeneticMelodyHarmonizer 12:57 Generate 17:33 Initialise population 19:56 Select parents 22:59 Create new population 26:22 Crossover 27:45 Mutate 29:24 FitnessEvaluator 32.54 Evaluate 36:35 Chord melody congruence 38:18 Chord variety 39:46 Harmonic flow 42:44 Functional harmony 44:49 Main function: Second pass 47:28 Exploring the code further... 49:04 What's up next?15. Genetic Algorithms - Generative Music AI CourseValerio Velardo - The Sound of AI2023-11-28 | Learn about Genetic Algorithms, and how they are used for music generation.
Content 0:00 Intro 0:41 What are genetic algorithms? 1:08 Natural selection 2:22 Core idea 4:10 Applications 5:03 Key elements 6:58 Genetic operators 7:16 Selection 9:11 Crossover 11:36 Mutation 12:44 Genetic algorithms step by step 14:35 What are genetic algorithms good for? 15:25 Genetic algorithms for music generation 16:49 Use cases for music generation 17:01 Examples of music encoding 19:30 Music fitness function 22:32 Interactive genetic algorithms 24:42 Pros and cons 26:15 Key takeaways 27:35 What's up next?14. Drum Generation with Cellular Automata - Generative Music AI CourseValerio Velardo - The Sound of AI2023-11-24 | Learn how to implement a cellular automaton that generates drum patterns in Python.
Content 0:00 Intro 0:23 What we'll build 1:44 Main function 3:21 Example generation running the script 3:46 DrunInstruments and DrumStates enums 5:18 CellularAutomatonDrumGenerator class 8:48 Step method 10:30 Applying transition rules 12:05 Syncopation resolution rule 15:41 Filling gaps rule 17:29 Accenting rule 18:46 Mutation rule 20:42 DrumPatternMusic21Converter class 21:58 Main function - 2nd pass 22:59 What's up next?13. Cellular Automata - Generative Music AI CourseValerio Velardo - The Sound of AI2023-11-23 | Learn how to use Cellular Automata to generate music, melodies, chords, and more.
0:00 Intro 0:47 Intuition 4:08 Formalisation 6:33 Conway's Game of Life 9:11 Music generation with CA 11:17 Drum generation 12:44 Melody generation 13:37 Expressive chord generation 15:36 Music strategies for CA 16:34 Strengths and limitations 17:51 Key takeaways 19:01 What's next?12. Melody Generation with Markov Chains - Generative Music AIValerio Velardo - The Sound of AI2023-11-22 | We implement a Markov chain to generate melodies in Python.
Content 0:00 Intro 1:35 Running the script + melody example 2:48 Main function 3:52 MarkovChainMelodyGenerator 6:50 Train method 17:27 Generate method 25:24 Revisiting the main function 28:00 Possible code expansions 30:09 What next?11. Markov Chains - Generative Music AI CourseValerio Velardo - The Sound of AI2023-11-20 | Learn how Markov chains work and how you can leverage them to generate music. Learn its use cases in generative music (e.g., melody, rhythm, form, dynamics generation). Learn the strengths and limitations of Markov chains for generative music.
Content 0:00 Intro 0:46 Intuition 7:11 Formalisation 11:11 Modelling music with Markov chains 22:40 Pros and cons 24:50 Key takeaways 26:19 What's next?10. Chord Generation with Generative Grammars - Generative Music AIValerio Velardo - The Sound of AI2023-11-15 | We implement an L-System that generates chord progressions in Python.
Content 0:00 Intro 0:32 L-System design 2:13 Music21 2:54 Code repository 3:28 Main function 5:32 Running the script 7:01 LSystem class 8:26 Alphabet property 8:50 Iterate method 10:49 Private methods 14:34 Converting output to music21 chords 16:41 Create and show music21 score 18:40 What next?9. Generative Grammars for Music Generation - Generative Music AI CourseValerio Velardo - The Sound of AI2023-11-14 | Learn about generative grammars and Lindenmayer Systems. See how you can leverage these algorithms to generate music. Learn how to design effective generative grammars for music generation.
Website of the Generative Music AI Workshop in Barcelona: https://www.upf.edu/web/mtg/generative-music-ai-workshop
Content 0:00 Intro to Part 2 (Technical dive) 1:12 Lecture overview 1:51 Intuition 3:06 Formalising a generative grammar 4:36 Example language grammar 8:31 Probabilistic grammars 11:22 Generative grammars for music generation 13:28 Music grammar expansion 16:10 Guidelines 19:27 Gen Music AI workshop 20:24 L-Systems 24:26 Key takeaways 26:20 What's up next?8. Limitations and Future Vision - Generative Music AIValerio Velardo - The Sound of AI2023-11-10 | Learn about the limitations of state-of-the-art generative music systems, and procedural issues we're facing in generative music research. You'll also learn about possible solutions.
Website of the Generative Music AI Workshop in Barcelona: https://www.upf.edu/web/mtg/generative-music-ai-workshop
Content 0:00 Intro 0:41 Text-to-music limitations 3:32 The curse of DL 4:53 Deep learning limitations 9:48 Solving the curse of DL 11:26 Music representation limitations 13:20 Music representation: Way forward 14:12 User interfaces 15:39 Problems with research procedure 17:56 Research proedure: Way forward 20:09 Engineer / domain knowledge divide 21:33 Key takeaways 24:05 What's up next? 24:37 Workshop info7. Generative Techniques - Generative Music AIValerio Velardo - The Sound of AI2023-11-09 | Learn about the techniques to generate music. From symbolic AI, to Deep Learning, passing through, optimisation algorithms, complex systems, and statistical methods.
Content 0:00 Intro 0:50 Generative music taxonomy 2:03 Symbolic AI 6:03 CHORAL 8:10 Optimazation techniques 11:30 GenJam 13:52 Complex systems 16:35 CAMUS 20:34 Statistical methods 22:10 Continuator 25:11 Deep learning 30:50 DeepBach 32:47 No silver bullet 33:34 Additional resources 34:37 Key takeaways 35:25 What's up next?6. Symbolic Vs Audio Generation - Generative Music AIValerio Velardo - The Sound of AI2023-11-08 | Learn about 2 types of music representations for generative music: symbolic, and audio. Learn their pros and cons, when it makes sense to use one or the other.
Content 0:00 Intro 1:07 Music representation 8:19 Symbolic representation 16:24 Symbolic generation 18:40 Pros and cons of symbolic 22:54 Join The Sound of AI community! 23:14 Audio representation 26:47 Audio-based generation 28:50 Pros and cons of audio generation 31:41 Key takeaways5. Ethical Implications - Generative Music AIValerio Velardo - The Sound of AI2023-11-07 | Generative music poses serious ethical questions about copyright, replacing musicians, and energy consumption. Learn the golden rules of generative music, and explore the legislation that's popping up to regulate generative AI.
Content 0:00 Intro 0:48 Copyright infringement 4:27 Replacing musicians 5:43 Energy consumption 6:22 Golden rules 9:16 Join The Sound of AI Community! 10:01 Generative music and legal 15:46 The EU AI Act 18:22 How's copyright going to evolve? 20:58 Key takeaways 22:33 What's up next?4. Use Cases - Generative Music AIValerio Velardo - The Sound of AI2023-11-06 | Learn how to classify generative music systems. Review different generative music use cases and business opportunities.
Content 0:00 Intro 0:34 How to classify gen mus systems 5:19 Ex. 1: Melodrive 7:24 Ex. 2: Aiva 9:12 Text-to-music generation 11:04 Singing voice cloning 15:35 Automatic accompaniment 17:54 Sound synthesis 21:37 Business opportunities 24:12 Key takeaways 26:00 What's up next?3. History of Generative Music - Generative Music AIValerio Velardo - The Sound of AI2023-11-03 | Learn about the fascinating history of generative music, from Mozart's dice game, to the latest deep learning architectures published by Google (MusicLM) and Meta (MusicGen).
I've broken down this journey into 5 distinct eras:
1. Pre-computer era (1700 - 1956) 2. Academic era (1957 - 2009) 3. First startup wave (2010 - 2016) 4. Big tech experiments (2017 - 2022) 5. Music AI hype (2023 - ?)
Content 0:00 Intro 0:42 5 generative music eras 1:43 Pre-computer era 5:40 Academic era 11:40 First startup wave era 13:41 Big tech experiments era 17:24 Music AI hype era 24:30 What's up next?2. Whats Generative Music? - Generative Music AIValerio Velardo - The Sound of AI2023-11-02 | Learn about the definition of Generative Music, the difference between creative and intelligent task, the disciplines that make up Generative Music, and some of the current challenges we face with creative music AI.
Content 0:00 Welcome to Part 1: Foundations 1:32 Lecutre overview 2:13 Intelligent vs creative tasks 9:47 Defining generative music 13:20 Join the discussion on The Sound of AI Community 13:54 One field, many names 16:48 Disciplines that contribute to Gen Music 22:18 GM challenges 25:28 Key takeaways 26:27 What's up next?1. Course Overview - Generative Music AIValerio Velardo - The Sound of AI2023-11-01 | In the first video of the Generative Music AI series, I tell you what to expect from the course.
Here are 5 key points you can’t miss from the video:
1. The course targets both technologists and musicians.
2. If you follow the course, you’ll acquire the necessary AI skills to be creative with music.
3.The Sound of AI teamed up with the Music Technology Group to deliver the course.
4. The course consists of two phases: firstly, a series of video lectures, followed by an in-person workshop in Barcelona (December 11 - 15).
5. Registration for the workshop opens November 13.
Will you be joining us for the workshop in Barcelona?
Content 0:00 Intro 0:54 Who's this course for? 1:12 Pre-requisites 1:56 Course structure 2:36 Video lecture series 5:31 Workshop 9:30 Instructors 10:18 Teaching style 11:21 Learning goals for technologists 12:18 Learning goals for musicians 13:13 Software tools 13:42 The Sound of AI Slack Community 14:40 GitHub repo for learning material 14:58 Course timeline 15:18 Course pace 15:33 OutroDemo Day - The Sound of AI Accelerator v1Valerio Velardo - The Sound of AI2023-07-03 | Demo Day session where the 10 startup music / audio AI companies formed during The Sound of AI Accelerator v1 pitch their ideas to investors.
The session was held on Zoom on June 30 2023.
The Sound of AI Accelerator is a 12-week startup accelerator programme focused on music, audio, and voice AI. It’s the only accelerator run by audio AI leaders, with the goal to help build the next batch of audio AI companies.
The v1 iteration of the accelerator ran from Aprill 11 to July 2 2023.
Content: 0:00 Intro presentation 14:47 MusicMind 19:57 SonicSentry 25:50 AI Sound Engineer 31:39 DataMxr 37:24 SoundsWise 42:41 Starchild 48:49 HotShot 54:03 Evolving Voices 59:10 Echolair 1:04:46 Nootone 1:09:50 ConclusionGPT-4: The Good, the Bad and the Ugly [Paper Breakdown]Valerio Velardo - The Sound of AI2023-04-04 | GPT-4 is the most competent general-purpose AI trained to date. It can reason, it shows an advanced understanding of the world, and it has common sense. We know OpenAI used a transformer architecture to build GPT-4, but what else do we know about the model? What are the shortcomings and threats of this technology? Why is OpenAI research procedure problematic?
Content 0:00 Intro 1:30 What we know about GPT4 3:35 Capabilities 9:21 Earth, chicken nuggets, and intelligence 12:28 Intelligence = language + multimodality? 13:29 Limitations and safety concerns 16:26 Procedural no-gos 19:24 The Sound of AI Slack CommunityI Launch My Biggest Project.Valerio Velardo - The Sound of AI2023-02-07 | I launch The Sound of AI Accelerator. It's the first startup accelerator dedicated to music / audio / voice AI companies. It’s run by audio AI leaders, with the goal to help build the next batch of audio AI companies. Learn what it's all about and how to apply.
0:00 Intro 0:07 Context 1:07 What's The Sound of AI Accelerator? 2:02 Team + mentors 2:35 Partners 2:56 What do you get? 4:52 How much will it cost you? 5:40 What do we expect from you? 6:03 The programme 7:31 Where does it take place? 7:59 How to apply 9:00 Who can apply? 9:46 How to get further infoMusicLM Generates Music From Text [Paper Breakdown]Valerio Velardo - The Sound of AI2023-01-31 | MusicLM has taken the Music AI community by storm. The model published by Google is a step ahead towards text-based music generation in the audio realm. By leveraging a clever combination of deep learning base models, MusicLM generates convincing short music clips with good audio fidelity.
Content: 0:00 Intro 0:45 Text-to-music 2:15 MusicLM demo 3:31 Riffusion and Mubert AI 4:37 MusicLM architecture 6:08 Components overview 7:40 SoundStream 8:20 w2v-BERT 8:51 MuLan 10:51 Training 16:18 Inference 19:52 Experiments 21:52 Limitations 24:40 Thoughts on research procedureWhy My Audio AI Project Failed?Valerio Velardo - The Sound of AI2023-01-23 | Learn why hiring generalist data scientists to work on music AI projects is the biggest mistake your company can make when working on a music AI project.
Follow Valerio on Twitter: twitter.com/musikalkemistI Interview ChatGPTValerio Velardo - The Sound of AI2023-01-09 | Who better than a machine can talk about machine creativty? I interview ChatGPT about the impact of AI on music and creativity. I also show the system I've built to talk directly with ChatGPT and its components (speech recognition, speech synthesis, and audio playback).
Content: 0:00 Intro 0:56 The Prophet system 2:24 Interview with ChatGPT 8:56 Reflections 11:39 OutroIs Your Company Ready to Adopt AI?Valerio Velardo - The Sound of AI2022-12-16 | It's not easy to know when to start using machine learning. If you don't get the timing right, your business could waste a lot of money. In this video, I share a number of signs to check when deciding if you should invest in a machine learning solution to get a competitive advantage.
0:00 Intro 0:52 Is AI necessary for my use case? 1:29 Can ML solve my problem? 2:01 Will the benefits of adopting ML outweigh the costs? 2:46 Do we have the necessary data? 3:25 Do we have the right talent to build an ML solution? 3:49 Help hiring (music) AI talent 4:18 Final advice7 Strategies to Help Junior AI Engineers Become an Unstoppable ForceValerio Velardo - The Sound of AI2022-12-13 | Junior ML engineers can be an invaluable asset to any company. With the right support and guidance, they can grow and develop their skills quickly and provide great benefit to their teams. In this video, we'll explore 7 strategies tech companies can implement to let their juniors reach their full potential setting up an environment tuned for personal growth.
0:00 Intro 0:49 Hands-on on the full ML lifecycle 1:28 Ownership of mid-size ML projects 2:12 Mentorship 2:57 Code reviews 3:52 Pair programming 4:15 Time for self-learning 5:00 Presentations 5:52 Advice to juniors 6:25 The Sound of AI RecruitmentBuild a Spotify-Like Music Recommender System in PythonValerio Velardo - The Sound of AI2022-12-06 | Learn how to build a music recommender system that suggests music artists using collaborative filtering and Alternating Least Squares. In the process, you’ll get a foundation about music recommenders, how Spotify recommends music, and how to use a production-ready collaborative filtering Python library called ‘implicit’.
0:00 Intro 0:28 Types of music recommendation 2:17 Spotify recommendation architecture 3:41 What are we building? 4:18 User-item matrix 6:41 Alternating least squares 13:50 Last.fm dataset 16:46 Package overview 17:28 Data loader routine 20:30 Artist retriever 23:12 Implicit - a collaborative filtering library 23:47 Recommender implementation 27:55 Running artist recommendations 30:35 Join The Sound of AI Slack Community!When should your company adopt AI?Valerio Velardo - The Sound of AI2022-12-01 | Most AI projects fail miserably. You should understand when it makes sense to embrace AI to minimise the risk of failure. In this video, we'll explore the necessary conditions for AI adoption in your business.
Follow Valerio on Facebook: facebook.com/TheSoundOfAIWhat’s the salary of an AI audio engineer? [2022]Valerio Velardo - The Sound of AI2022-11-28 | Whether you are a company looking for music AI talent or you’re an audio AI engineer looking for a job, there’s one important question you may have in mind: what’s the typical salary of an AI audio engineer? In this video I’ll try to answer this question, providing salary ranges for juniors, seniors, and lead roles.
Follow Valerio on Facebook: facebook.com/TheSoundOfAIHiring recent audio AI graduates. Good or bad idea?Valerio Velardo - The Sound of AI2022-11-21 | Experienced audio AI engineers cost a lot. To save money, companies can employ recent graduates. They are relatively cheap compared to more senior engineers. Generally, they are passionate. And they are receptive. But is it always a good idea to hire them?
Follow Valerio on Facebook: facebook.com/TheSoundOfAIOpenSource Research Project: Post-Mortem AnalysisValerio Velardo - The Sound of AI2022-10-17 | Open Source Research is one of the first community-driven research projects, where hundreds of people collaborated to create a research output and publish a paper collaboratively. Watch the video to learn more about the project, its organisation, and learnings.
0:00 Intro 0:50 What's OSR? 8:50 Organisation 19:46 Project phases 23:10 Advice 28:24 Final thoughtsBest Universities to Study AI MusicValerio Velardo - The Sound of AI2022-08-30 | Discover the universities with the best degrees and research programmes in AI applied to music, sound, and signal processing.
0:00 Intro 1:03 Universities in Europe 9:30 The Sound of AI Academy 10:07 University in North America 14:31 Bonus universities 15:57 OutroMy new projectValerio Velardo - The Sound of AI2022-08-08 | Finally, I can show you the project I've been working on over the last few months. It's The Sound of AI Academy, an e-learning platform where you can learn all the necessary skills to become an AI (music) ninja.
Follow Valerio on Twitter: twitter.com/musikalkemistHow to Deploy ML Models in Production with BentoMLValerio Velardo - The Sound of AI2022-07-25 | In this video, you can learn how to deploy Machine Learning models into production using BentoML. I explain how to install BentoML, how to save ML models into BentoML's local store, how to create a BentoML service, how to build a bento, and how to containerise a bento with Docker. I also send requests to the BentoML service to receive back inferences.
0:00 Intro 0:19 BentoML deployment steps 1:03 Installing BentoML and other requirements 2:11 Training a simple ConvNet model on MNIST 5:52 Saving Keras model to BentoML local store 10:26 Creating BentoML service 15:28 Sending requests to BentoML service 22:06 Creating a bento 25:46 Serving a model through a bento 28:25 Dockerise a bento 30:46 Run BentoML service via Docker 32:41 Deployment options: Kubernetes + Cloud 33:43 OutroAwards Ceremony - 1st The Sound of AI HackatonValerio Velardo - The Sound of AI2022-07-19 | Watch the recording of the Awards Ceremony of the 1st The Sound of AI Hackathon. In the session, I present The Sound of AI Community and its activities, give a summary of the hackathon, and declare the winners picked by the jury.
Follow Valerio on Twitter: twitter.com/musikalkemistThe Most Inspiring Music Tech Projects Youve Seen in a WhileValerio Velardo - The Sound of AI2022-07-18 | Watch the presentations of the 30 teams which participated in the 1st The Sound of AI Hackathon. The quality of the AI music projects presented is high. Hacks cover many sub-fields of audio and music processing. A few examples: music recommendation, audio-based music generation, automatic dj-ing, audio denoising and way more.
Follow Valerio on Twitter: twitter.com/musikalkemistNeural Synthesis & Generative Music: CJ Carrs Keynote Talk at the 1st TSOAI HackathonValerio Velardo - The Sound of AI2022-07-14 | In his keynote talk for the 1st The Sound of AI Hackathon, CJ Carr recounts his journey into neural audio synthesis with Dadabots. He also provides insights on how to generate music with neural networks from raw audio and talks about open-source neural synthesis models.
Follow Valerio on Twitter: twitter.com/musikalkemistAI for Music Analysis: Keunwoo Chois Keynote Talk at 1st TSOAI HackathonValerio Velardo - The Sound of AI2022-07-13 | In his keynote talk for the 1st The Sound of AI Hackathon, Keunwoo Choi provides a tour into Music Information Retrieval. He outlines fundamental MIR tasks, use cases, pitfalls, and interesting AI Music tools.