Access Free Music Resources: https://berkonl.in/3HPNkYL
In this video from Berklee Online’s AI in Music: Composition, Production, and Analysis course, instructor Dr. Carlos Arana teaches you about the role of adaptive processing systems in music production, and how it can be used to your advantage. Dr. Arana explains that adaptive processing is a system that dynamically adjusts its parameters in response to changes in the input signal or environment through a three-stage pipeline. The first stage is feature extraction, where raw audio is converted into meaningful descriptors like frequency content, spectral balance, and other musical features. In the second stage, feature processing, the system compares this data against rules and constraints like best practices, descriptors such as “warm” or “bright,” machine learning models, and reference tracks. The third stage, signal processing, is where the system applies real-time adjustments to EQ, compression, stereo width, and balance. Dr. Arana also introduces cross-adaptive processing, where tracks are analyzed in relation to one another, allowing for more context-aware decisions in mixing and mastering.
Learn more about this course: https://berkonl.in/4veg8AG
ABOUT CARLOS ARANA:
Carlos Arana is a guitarist, producer, and researcher whose work bridges Latin American music traditions and emerging technologies such as machine learning and artificial intelligence. As a guitarist, arranger, and musical director, he has worked and recorded with artists from around the world, including legendary bossa nova singer Maria Creuza, whose band he was a member of. Arana is also a leading voice in the application of AI to music. He has the written Berklee Online courses AI in Music: Composition, Production, and Analysis and AI for Music and Audio. Dr. Arana holds a PhD from the University of Buenos Aires (UBA-UNLZ), where his research focused on deep learning and generative neural networks in music education. His work spans signal processing, music information retrieval, and generative systems, with a focus on helping musicians understand and engage critically with rapidly evolving technologies. In addition to his academic and creative work, Dr. Arana has edited books for Hal Leonard and Warner Bros. Publications (Alfred), and has been invited to speak at conferences and seminars at institutions such as MIT and UC Berkeley.
About Berklee Online:
Founded in 2002, Berklee Online is the premier innovator and largest provider of worldwide music education, offering the renowned curriculum of Berklee College of Music at a fraction of the cost through award-winning programming and instruction. Contact an Academic Advisor today:
1-866-BERKLEE (US)
1-617-747-2146 (international callers)
advisors@online.berklee.edu
http://www.facebook.com/BerkleeOnline
http://www.instagram.com/berkleeonline/
https://www.linkedin.com/company/berkleeonline
https://www.tiktok.com/@berkleeonline
AI in Music | Artificial Intelligence | Dr. Carlos Arana | Maria Creuza | Multitrack Processing | Adaptive Processing Systems | Adaptive Audio Processing | AI In Music Production | Feature Extraction | Audio Signal Processing | Machine Learning In Audio | Real-Time Audio Analysis | Mixing and Mastering AI | Reference Track Matching | Cross-Adaptive Processing | Audio Descriptors