Workshop ASAP by Pierre Guillot
➡️ This presentation is part of IRCAM Forum Workshops Paris / Enghien-les-Bains March 2026
Pierre Guillot holds a Ph.D. in Aesthetics, Science, and Technology of the Arts, with a specialization in Music. He completed his doctoral studies at the University of Paris 8 in 2017 as part of the Laboratoire d'Excellence Arts-H2H program.
Throughout his research career, Guillot has contributed to the development of innovative music technologies, including the HOA ambisonics sound spatialization library, the collaborative patching software Kiwi, and Camomile, a versatile multi-format, multi-platform plugin.
Since 2018, he has been working at IRCAM as part of the Innovation and Research Means department, where he leads key projects such as Partiels, ASAP, and TS2, furthering advancements in music technology and digital sound innovation.
— ASAP presentation — Transforming sound in a creative way.
In this presentation, Pierre Guillot will explore the historical, artistic, and research context that shaped the development of the ASAP plug-ins, emphasizing the project’s innovative solutions and technical challenges. He will introduce the functionalities of the ASAP collection, with a focus on plug-ins leveraging ARA2 technology.
Among these, the Psycho Filter plug-in allows users to draw custom spectral filters directly on a sound’s spectrogram, adjusting gain and fade for precise control. Its intuitive interface enables the creation of intricate spectral modifications—whether to attenuate unwanted artifacts, enhance specific frequency components, or creatively transform the sound.
Meanwhile, the Pitches Brew plug-in offers advanced pitch and formant manipulation through interactive frequency curve editing. Beyond its high-quality processing, the tool provides a visual representation of fundamental frequencies, target pitches, and formants, allowing for dynamic adjustments such as redrawing, transposing, stretching, and copying curves.
The Stretch Life plug-in introduces a unique approach to time manipulation, enabling users to stretch and compress sound dynamically for imaginative and creative sound design.
The talk will also address the integration of neural network models in audio applications, particularly through the TensorFlow framework, opening a discussion on the future of AI-driven sound processing.
This presentation will be followed by a workshop where participants will be invited to use the tools in concrete examples to discover the possibilities offered by these technologies.
