The 'Giorgio Cam' AI Experiment Creates Music Just by Taking a Picture
Laura McQuarrie — December 10, 2016 — Tech
References: aiexperiments.withgoogle & digitalbuzzblog
'Giorgio Cam' is the name of a unique Google AI Experiment that explores the possibilities of machine learning for the creation of music.
The AI experiment is designed to turn real-world objects into music, using only one's phone camera. Snapping a picture with a phone camera calls for the technology at play to use image recognition to identify what it sees, effectively turning the new discovery into lyrics and a song. For instance, capturing an image of a globe may cause Giorgio Cam to create a lyrical chain of words that begins with: "Looks like world to me."
The innovative and experimental Giorgio Cam is a product of Google’s Creative Lab and is powered by technology such as MaryTTS, Tone.js and Google Cloud Vision API.
The AI experiment is designed to turn real-world objects into music, using only one's phone camera. Snapping a picture with a phone camera calls for the technology at play to use image recognition to identify what it sees, effectively turning the new discovery into lyrics and a song. For instance, capturing an image of a globe may cause Giorgio Cam to create a lyrical chain of words that begins with: "Looks like world to me."
The innovative and experimental Giorgio Cam is a product of Google’s Creative Lab and is powered by technology such as MaryTTS, Tone.js and Google Cloud Vision API.
Trend Themes
1. Music-generating AI - Machine learning algorithms are being used to turn real-world objects into music, offering disruptive innovation opportunities in the field of AI-generated music composition.
2. Image Recognition Lyrics - Image recognition technology is being used to create lyrics and songs based on the objects captured by phone cameras, opening up possibilities for disruptive innovations in the intersection of visual and audio arts.
3. Creative Experimentation - Google's Giorgio Cam AI Experiment showcases the potential for disruptive innovations by combining technologies such as image recognition, text-to-speech, and music synthesis to create unique and experimental music compositions.
Industry Implications
1. Artificial Intelligence - AI-generated music composition and image recognition lyrics have the potential to disrupt the music industry by offering new ways to create and appreciate music.
2. Visual Arts - The convergence of image recognition and music synthesis opens up opportunities for disruptive innovation at the intersection of visual arts and audio arts, creating new artistic expressions and experiences.
3. Technology R&D - The integration of machine learning algorithms, image recognition, and cloud APIs in the Giorgio Cam AI Experiment exemplifies the potential for disruptive innovation in the field of technology research and development.
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