By Robert Haslam

In a recent Twitter Spaces discussion, I engaged in a fascinating conversation with Robert Scoble about the potential applications of emerging technologies in music and performance arts.

Here I wanted to share my exploration of the endless opportunities provided by integrating sound with space through artificial intelligence and machine learning.

Imagine a world where sound emanates from objects, the environment reacts to music, and the very air we breathe becomes an instrument.

This is not science fiction, but a very plausible future for the music industry.

Sound from Objects and Spaces

With advanced machine learning and spatial audio technologies, we can turn ordinary objects and environments into sources of sound.

Imagine attending a virtual concert where the guitar strings reverberate through the air, and you feel the thump of the drums in your chest.

But the magic doesn’t stop there. Through technologies like Core ML, objects in your environment can become instruments. Your table could resonate with the bass, the walls might whisper the backup vocals, and a painting could emanate ambient melodies.

Adapting Sound to Visual Surroundings

Another fascinating possibility is the adaption of sound based on visual surroundings.

For instance, if you are experiencing an augmented reality (AR) performance in your living room, the music could change based on the objects and layout.

If a wall or door blocks a part of the sound, the music could adapt accordingly. This could also be used for immersive storytelling, where the environment actively responds to the narrative or vice versa.

Movement and Machine Learning

Integrating movement with machine learning can create unique experiences. For instance, dance could be transformed into a method for generating or manipulating sound. As dancers move, machine learning algorithms could analyze their movements in real-time and use this data to generate or alter sound, effectively turning the human body into an instrument.

Vision and Natural Language Processing

Vision, a machine learning API, can be utilized for processing and analyzing images and videos using computer vision. This can be integrated into live performances to create visuals that react to the music. Natural Language processing could interpret lyrics in real-time and generate complementary visuals or adapt the sound in intelligent ways.

Speech and Sound Classification

Machine Learning APIs enable on-device sound classification, such as identifying types of sounds, laughter, applause, etc. This could be used in interactive performances where the audience’s reaction shapes the music. For instance, applause could trigger an encore, or cheers could modify the tone.

Create ML for Customisation

Create ML enables artists to build custom Core ML models without coding, which means even those without technical backgrounds can experiment. Musicians could use this to tailor their music and performances with unique elements and create brand-new sounds that weren't possible before.

Closing Thoughts

Integrating sound with spatial environments, objects, and advanced machine-learning technologies opens up a new frontier for creativity in the music industry. As we venture into this new era, artists, musicians, and creators like myself are only limited by our imaginations. The opportunity to connect more profoundly with audiences virtually and physically and make music an even more immersive and adaptive experience is truly groundbreaking. This harmonic convergence of technology and art will undoubtedly revolutionise how we experience and create music.