THE EVOLUTION OF AI
SAINT PAUL CHAMBER ORCHESTRA
A new initiative for engaging composers and community in the creation of new music.
The 2022.23 season will bring the launch of the SPCO’s Sandbox Composer Residency program — a new initiative for engaging composers and community in the creation of new music. Over the next several seasons, three composers will participate in innovative and intensive multi-week residencies with the SPCO, in a program designed to foster a spirit of shared discovery and the creation of a significant body of new music. Viet Cuong, Clarice Assad and Gabriela Lena Frank have been selected to work with SPCO musicians as the inaugural Sandbox composers.
The Evolution of AI
I’m excited to have the opportunity to work with the Saint Paul Chamber Orchestra and write a new work exploring one of our time’s most fascinating and challenging subjects: Artificial Intelligence. The development of AI and it’s rapidly changing pace is already transforming human roles in society. Significant disruptions are about to reach us in various fields. It is essential to question these developments shaping our world for years to come, whether through robots, machine learning, or other means. in the piece, I will use electronic musical instruments and wearables as well as AI software to generate ideas rather than come up with them on my own. Stay Tuned.
– Clarice Assad.
Wave Midi Ring (By Genki)
Dubler USB Microphone
Robert Hüttl is the maker of this suit. It includes ten dynamic pads. It is a wired suit (which is difficult for specific performance scenarios), but it is highly responsive, and because it is midi, it can trigger a great variety of sounds. Sadly the suit did not make it into the piece.
The Genki wave ring is a dream for any music performer looking to add a dramatic flair to their act. It frees the person from controlling sounds on a keyboard or another midi-controlling device.
This is a unique microphone. It is essentially a midi controller, but one that uses the voice as the input, which is wild. There is a lot of potential here and many tricks to learn. The company is called DUBLER. I chose not to go with the Dubler for this piece because I will already be using the TC Helicon and the Genki ring.
AFrame Last Demo
EXPERIMENTS WITH AI SOFTWARE
Image of Assad generated by ChatGPT and Midjourney based on a real picture.
Relevant Links to AI Models and Software with Description
AI RESOURCES, LINKS AND MORE
ai.mastery.academy – Broad intro and medium advance courses for people wanting to get to know AI
ChatGPT Pro Prompts: There is a plethora available for free on a single google search
MIT Management Executive Education, also SMU and other institutions are beginning to offer M.A. in Creative Technology
Voice and Music
What is (AI) Artificial Intelligence ?
Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The wayAI work its way into music and how I structured the piece to reflect this
Data Collection: To utilize AI in music, you need substantial musical data. This includes audio recordings, sheet music, MIDI files, and music-related metadata. The data serves as the foundation for training AI models. Data Preprocessing: Like other AI applications, the collected musical data must be cleaned, organized, and formatted appropriately. This might involve converting audio data into a suitable digital format or extracting relevant features like pitch, tempo, and timbre. Algorithm Selection: Depending on the specific task, different AI techniques can be used in music. Some popular methods include machine learning algorithms like deep neural networks for music generation, classification, and analysis. Music Generation: AI can be used to generate music automatically.
There are so many other uses of AI in music, and it is important to point them out as well:
You can use a generative model like a Variational Autoencoder (VAE) or a Recurrent Neural Network (RNN) to create new melodies, harmonies, or entire compositions based on the patterns learned from the training data.
Music Analysis: AI can be applied to analyze existing music. For example, you can use a model to transcribe audio into sheet music, detect chords, identify musical genres, or even recognize emotions conveyed in the music.
Music Recommendation: AI can create personalized music recommendations for users based on their listening preferences and behavior. Recommendation systems use collaborative filtering and user profiling techniques to suggest relevant songs or artists.
Music Enhancement: AI can be employed to improve the quality of audio recordings. For example, it can be used for audio denoising, upscaling low-resolution audio, or enhancing the sound quality of old recordings. User Interaction: AI-powered music applications can interact with users in innovative ways. This includes chatbots that compose music based on user input or AI systems that respond to emotional cues from listeners.
Testing and Refinement: After implementing an AI music application, it’s essential to test its performance and gather user feedback. Based on the results, the system can be refined and further trained to enhance its capabilities. Deployment and Integration: Once the AI music application is thoroughly tested and refined, it can be deployed in real-world scenarios.
Integration into music platforms, software, or devices allows users to experience the benefits of AI-generated or AI-enhanced music. Throughout these steps, collaboration between musicians, musicologists, and AI experts is crucial to ensure that the AI systems align with musical aesthetics and maintain artistic integrity. AI in music opens up exciting possibilities for creativity, analysis, and personalized musical experiences.