The Evolution of AI Music: Sampling, Beats, and Voice Conversion

TLDRExplore the evolution of AI music creation, from sampling to beats and voice conversion. Witness the rise of music concrete, the emergence of sampling in the 60s, and the impact of AI models like audio gen and suno. Experience the fusion of different genres and the transformation of voices, creating unique and mind-blowing tracks. Join the journey of AI music from the past to the future.

Key insights

🎵The concept of using existing sounds to create new music has roots in the mid-20th century with pioneers like Pierre Schaefer and music concrete.

🎹The melotron, introduced in the 1960s, was an early version of a sampler that allowed musicians to trigger pre-recorded instrument sounds with keys.

💻The emergence of digital samplers in the 80s and 90s, like the Emu SP 1200 and Akai MPC, revolutionized music production and sampling techniques.

🤖Generative AI models like audio gen and suno's chirp have enabled musicians and creators to generate unique sounds and lyrics based on textual prompts.

🔊Voice conversion models leverage massive voice datasets to transform one person's voice into another, allowing for unique collaborations and recreations.

Q&A

What is music concrete?

Music concrete is a type of music composition that uses recorded sounds from the real world, such as spoken words, musical instruments, and environmental noise, as raw material for creating new music.

What were some early samplers in music?

The melotron, introduced in the 1960s, and the fairlight CMI, unveiled in 1979, were early samplers that allowed musicians to trigger pre-recorded sounds and manipulate them in their compositions.

How do AI models like audio gen and suno contribute to music creation?

AI models like audio gen and suno provide musicians and creators with the ability to generate unique sounds, melodies, and lyrics based on textual prompts, expanding the possibilities of music creation.

What is voice conversion?

Voice conversion is a technique that uses AI models and massive voice datasets to transform the characteristics of one person's voice into another, enabling collaborations and recreating the voices of iconic artists.

How has AI impacted the music industry?

AI has revolutionized music creation by providing new tools and techniques for generating music, enhancing creativity, and enabling collaborations between artists and AI models.

Timestamped Summary

00:00Introduction to the evolution of AI music and the usage of existing sounds to create new compositions.

05:36Exploration of generative AI models like audio gen and suno for creating unique sounds and lyrics.

09:08Demonstration of using Google's music LM to create ultimate breaking beats and loops.

13:10Utilizing GPT playground to generate rap lyrics and combining them with suno's AI-generated voice.

14:32Applying voice conversion techniques to transform the generated voice into Tupac Shakur's iconic voice.