“Clair De Lune with Tibetan Bowls” by Dr. David Mitchell

In the world of music, inspiration can arise from the most unexpected places. “Clair De Lune with Tibetan Bowls” is a captivating musique concrète composition that invites us to challenge our traditional notions of music. Inspired by a serene moment of meditation, Dr. Mitchell blends the soothing sounds of Tibetan bowls with the timeless melodies of Debussy’s “Clair De Lune.”

Dr. Mitchell’s background in music composition, developed during his studies at the University of Georgia under the guidance of Dr. Leonard (Chic) Ball, played a significant role in shaping this composition. His knowledge of tape techniques allowed him to transform ordinary, everyday sounds into something extraordinary.

This composition’s essence lies in its belief that music can extend beyond the confines of conventional instruments and genres. Drawing inspiration from avant-garde composer John Cage, who challenged the boundaries of what can be considered music, “Clair De Lune with Tibetan Bowls” explores the harmony between the symphony of crickets, Debussy’s timeless beauty, and the harmonic vibrations of Tibetan bowls.

As you listen to “Clair De Lune with Tibetan Bowls,” consider the idea that music is all around us, waiting to be uncovered in the most unexpected places. Embark on a journey of sonic exploration and embrace the simple truth that, indeed, all sounds can be music.

The Future of AI and Music: Democratizing Creation While Protecting Rights

The rapid advancement of AI has sparked vigorous debate about its impact on the music industry. While some see its generative capabilities as threatening, I believe AI presents opportunities to empower artists and to help them connect with fans in new ways. However, protections must be in place to safeguard artists’ rights.

As an independent artist myself, I’m excited by AI’s potential to democratize music creation. Emergent tools can help artists expand our sound palettes and reach a wider fan base typically only accessible by artists signed to major labels. Rights holders like Universal Music Group (UMG) stand to profit too by licensing their catalogs. But they must ensure fair revenue sharing so independent artists thrive. UMG is working with Google owned YouTube and its new Content ID software to responsibly make its vast catalog available to independent artists through its new text-to-music software, MusicLM.

AI-generated content also exposes risks if platforms don’t protect artists’ rights. Musicians should control where and how their work is used. Services like YouTube must expand copyright protections and give us tools to manage AI use of our catalogs.

I recently shared some of my own experimentation with AI music generators on the Human Driven AI podcast. This conversation includes music samples and the prompts used to create them, as well as discussions around the opportunities and limitations of AI music generators.

The music industry weathered disruption from Napster by ultimately embracing change. With care and vision, AI can fuel a new creative renaissance. As an independent artist, I’m cautiously optimistic about collaborating with AI in ways that are artist-empowering. But we must stay vigilant in safeguarding our rights and artistic intentions.

What opportunities or risks do you see AI presenting for the music industry? I welcome perspectives from fellow artists as we navigate this unfolding technology together. There are challenges ahead but also much potential for creative innovation. By joining in constructive dialogue, we can shape an AI-powered future that serves all artists.

Support the No Fakes Act to Protect Performers’ Rights

The emergence of AI technologies capable of mimicking singing voices has opened up new creative possibilities, but also raised concerns about misuse of personal images and voices. A bipartisan bill introduced in the Senate aims to give performers more control over digital replicas of themselves.

The No Fakes Act would require consent for the use of any individual’s voice, image, or likeness to create a digital replica. Performers would have the right to authorize or decline this use. Supporters say this will help prevent misinformation and unauthorized impersonations.

As a fan of music, film, and other creative arts, I urge readers to contact your senators and ask them to support the No Fakes Act. Performers deserve to control how their voice and image are used. This isn’t about limiting technology – it’s about basic rights.

Major industry groups like SAG-AFTRA and the RIAA have endorsed the bill’s approach. They recognize AI’s potential but want to prevent harmful applications. Recent viral examples like the fake Drake track show how digital replicas can already be misused.

The No Fakes Act allows plenty of room for transformative, creative uses of AI. Exceptions are made for parody, commentary, and other protected speech. What it aims to stop is wholesale impersonation without consent. At the same time, there may be significant opportunities and financial upsides for artists who permit the use of voice replicas under fair profit-sharing deals. As AI platforms continue to evolve, they should strive to establish equitable revenue-sharing arrangements with artists and record labels. With the proper consent and compensation structures in place, voice replication technology could become a creative and lucrative avenue for performers. We should encourage innovation in this space, while ensuring creators have control over their likenesses and receive their fair share of any commercial benefits.

Performers invest tremendous time and effort honing their craft. Their voice and persona are essential parts of their art. Don’t they deserve a say in how digital replicas are used?

Contact your senators today and urge them to support this balanced approach. The No Fakes Act will help ensure AI promotes creativity, not theft. Performers’ rights matter.

“Vanishing Points” for MAX/Jitter

“Vanishing Points” is my latest real-time interactive MAX/Jitter patch. It was inspired by the event horizon associated with black holes in deep space.

This piece is improvised using a MAX patch and Jitter video processing software. Mouse movements control the sine wave glissandi, while the synth sounds are created using a MIDI controller and computer keyboard rewired into Ableton.

The audio texture is created with delay pipes that are controlled via the pitch wheel and computer keyboard. The direction, velocity and tilt of the video pixels is controlled by the velocity and MIDI note information from the MIDI controller and computer keyboard.

Here’s what the presentation mode looks like:

Here’s what the patch itself looks like:

How to Develop Your Own Voice and Become a Great Composer: The Ligeti Model

In the spring of 2007, Simone Fontanelli, a world renowned composer and professor of new music at the University of Mozarteum in Salzberg, gave a series of seminars at the University of Georgia, Dancz Center for New Music. I asked maestro Fontanelli, “are there any composition exercises you would recommend to help beginning composers develop their own voice?” He suggested borrowing harmonic, melodic and/or rhythmic ideas from three great composers, then write a new piece which combines the best elements of all three. For example, combine Stravinsky’s Petrushka chord, Bartok’s rhythmic motives from String Quartet No. 4 and Schoenberg’s concept of developing variation into a single composition. This is challenging to say the least, and it stretches the abilities of most composers. In addition, this exercise gives beginning composers an opportunity “walk in the shoes” of the world’s greatest composers, thereby, discovering what makes them great. It also helps beginning composers get into the historical flow of what has gone before them.

This idea is not new. All great composers have written pieces “in the style of…” For example, Mozart was influenced by Bach, Haydn and many others. Schoenberg considered himself to be an extension of the German tradition and was influenced by Bach, Beethoven and Brahms.

While working on my DMA in music composition at UGA, I read a number of interviews with György Ligeti (1923-2006), one of the most influential composers of the 20th century, in which he discussed the influence of Bartók on his compositional style and technique. Ligeti used Bartók’s String Quartet No. 4 as a model when he wrote String Quartet No. 1: Metamorphosis Nocturnes (1954). In fact, in an interview with Friedemann Sallis, Ligeti stated he knew Bartók’s style so well that “he could have gone on to write the seventh, eighth or even twelfth Bartók quartet.”

Bartok Ligeti

I decided to analyze both quartets to determine if this statement is true and, if so, discover what elements of Bartók’s quartet and style are present in Metamorphosis Nocturnes. It appears that Ligeti borrowed a motive directly from Bartók’s quartet, see Example No. 1. This motive belongs to set class [0123]. Ligeti uses it in the beginning of Metamorphosis Nocturnes, and it becomes the primary harmonic structure throughout the entire quartet, see Example No. 2. It is interesting to note, after writing Metamorphosis Nocturnes, Ligeti continued to use set class [0123] throughout his career, but he added his own twist in the form of microtonality.

Example No. 1

Barok example

Example No. 2Ligeti example

There are a number of parallels between these two quartets, and Bartók’s influence is present throughout to the extent that Ligeti’s quartet sounds more like Bartók than Ligeti. With that being said, Metamorphosis Nocturnes is a model for all aspiring composers. Ligeti wrote his quartet in order to experiment with Bartók’s harmonic and melodic language. He ultimately kept what he liked most from Bartók’s style, eventually making it his own. In the process, he developed his own unique voice. March 20-23, I will present my research at the 2014 Society of Composers Inc. Nation Conference at Ball State University in Indiana.

I would recommend trying the same experiment with your own favorite composer or composers. Borrow a melody/harmony or two. Take it out for a test drive. If you like it, find a way to make it your own!