Developing Creativity with AI & DL for Sound & Audio, with Valerio Velardo, E28

2:10 - Using AI to augment and reshape creativity in a modern world. Psychological creativity and story creativity - can an AI model help AI music artists, today, get off their creative blocks?12:15 - Attempt to define ‘good’ music, using a cognitive music literature background.17:00 - Are we better or worse off, for AI in audio/music? Is it sustainable for the effort input and cost, impact and efficiency output?22:35 - ‘Deep Nostalgia” from myheritage initiative, and GPT-J - looking for strengths in the two approaches.29:25 - The Sound of AI community - a HuggingFace version for audio?31:15 - Train a DL - CNN sound classifier built with Pytorch and torchaudio on the Urban Sound 8k dataset.35:00 - Is deep learning a dead end for artificial intelligence?38:05 - Could someone that is a pure tech profile ever be in such an intersection in sync with the artistic world? Is it a pre-req to be domain savvy to build AI audio solutions?42:10 - Helping music tech companies with a focus on audio (voice, speech, sound), the experience so far.49:45 - Hard problems to solve when dealing with AI audio - Top three.56:50 - First piece of music composed by a machine.References:The Sound of AI YT Channel: https://www.youtube.com/c/ValerioVelardoTheSoundofAI/featuredSign up for The Sound of AI Slack CommunityPyTorch for Audio + Music Processing https://www.youtube.com/watch?v=gp2wZqDoJ1Y&list=PL-wATfeyAMNoirN4idjev6aRu8ISZYVWmAudio Signal Processng for ML https://www.youtube.com/watch?v=iCwMQJnKk2c&list=PL-wATfeyAMNqIee7cH3q1bh4QJFAaeNv0OpenSource Research project building a speech-operated neural synthesiserDeep Learning for Music https://github.com/ybayle/awesome-deep-learning-musicSweet Anticipation book: Music and the Psychology of Expectation by David HuronValerio Velardo's LinkedInThe Frame Problem of AI