🎼 From Waves to Tunes, how AI is Transforming Music
Today's Highlights
- How AI is revolutionizing music
- This Week On BuzzBelow - a recap on this week's topics
- In Other News - a few interesting developments we're tracking
Artificial Intelligence (AI) in the past couple of years has been disrupting almost every industry. The entertainment industry is no different, especially music. AI in music encompasses various tools and technologies that assist or collaborate with human artists in the creation of music. Here's how AI is changing music:
Fourier Transforms & Spectral Analysis
These techniques dissect audio signals into their frequency components, enabling AI systems to perform tasks such as music transcription, where notes and rhythms are identified, and source separation, which involves isolating different sound components like vocals from instruments. Companies like iZotope, known for their advanced audio editing and restoration tools, and Audionamix, specializing in source separation technology, are key players utilizing these techniques.
Waveform Analysis
Waveform analysis marks another frontier, where AI processes and interprets raw audio waveforms directly. This approach offers a more intricate understanding of audio signals compared to MIDI-based systems, which only capture note-based information. Companies such as LANDR, providing AI-powered music mastering services, and Descript, focusing on waveform-based audio editing for podcast production, exemplify the application of this technology.
Human-AI Co-Creation Platforms
These platforms aim to foster intuitive collaboration between musicians and AI, enhancing human creativity. They aspire to be accessible to artists of various skill levels, allowing them to interact with AI in the creative process. Companies like Ableton are exploring AI integrations to augment their digital audio workstation capabilities, and Amper Music offers an AI composition platform that collaborates with human inputs to create custom music tracks.
AI in music is a relatively new concept, but interest in it is increasing rapidly. In a recent survey conducted for musicians, 29% of respondents were using AI for tasks such as creating album artwork and mixing/mastering, rather than composition. However, 55% of the respondents indicated that they might use AI for music-related activities in the future. The global generative AI in music market was valued at USD 229 million in 2022 and is estimated to grow at a compound annual growth rate (CAGR) of 28.6%, reaching a projected value of USD 2.6 billion by 2032. With major companies and a considerable portion of the music industry professionals exploring and adopting AI tools, the landscape of music is set to be transformed by these technological advancements.