Perceptual Convolution
Fast & High-Fidelity Combined
Convolution plays a crucial role in modern music production, extending beyond classical reverberation to applications with neural networks and hardware emulation. The demand for efficient computation has long constrained real-time capabilities. Perceptual Convolution aims to address this challenge by computing only the segments of the impulse response (IR) that are perceptible to the human ear.
Identifying these acoustically important segments of the IR is the key challenge. In this presentation, we will explore the computational savings achieved, methods for analyzing existing IRs to enhance their efficiency, and the impact on performance and perceived audio quality. By focusing on perceptually relevant data, we can improve both the efficiency and the overall auditory experience.
Tobias Hienzsch
Self-employed
Based in Berlin, I am a seasoned developer with a passion for music, audio, and acoustics. My journey began at the age of 8 when I wrote my first computer programs. Over the past decade, I have specialized in the intersection of technology and sound, focusing on advancing the fields of music and audio engineering. Recently, my focus has shifted towards room acoustics and acoustic simulations, where I explore innovative approaches to enhance auditory environments.
