Download Feature Based Delay Line Using Real-Time Concatenative Synthesis In this paper we introduce a novel approach utilizing real-time concatenative synthesis to produce a Feature-Based Delay Line (FBDL). Expanding upon the concept of a traditional delay, its most basic function is familiar – a dry signal is copied to an audio buffer whose read position is time shifted producing a delayed or "wet" signal that is then remixed with the dry. In our implementation, however, the traditionally unaltered wet signal is modified such that the audio delay buffer is segmented and concatenated according to specific audio features. Specifically, the input audio is analyzed and segmented as it is written to the delay buffer, where delayed segments are matched to a target feature set, such that the most similar segments are selected to constitute the wet signal of the delay. Targeting methods, either manual or automated, can be used to explore the feature space of the delay line buffer based on dry signal feature information and relevant targeting parameters, such as delay time. This paper will outline our process, detailing important requirements such as targeting and considerations for feature extraction and concatenation synthesis, as well as discussing use cases, performance evaluation, and commentary on the potential of advances to digital delay lines.
Download A Unified Framework for Real-Time Concatenation-Driven Convolution This work introduces a novel framework for Concatenation-Driven Convolution (CDC), unifying concatenative synthesis and real-time convolution into a single integrated audio processing paradigm. While concatenative synthesis has traditionally been used for corpus-based sound generation and convolution has served as a largely static filtering technique, the proposed approach reconceptualizes impulse responses (IRs) as dynamic, navigable sonic material. In the CDC framework, a corpus of audio segments is analyzed using perceptual features and organized via a self-organizing map (SOM), enabling intuitive, gesture-based traversal of a structured timbral space; the resulting concatenative output is treated as a continuously evolving impulse response and injected directly into a partitioned convolution engine. Its central technical contribution is single-engine frequency-domain kernel interpolation: rather than crossfading the outputs of two convolution engines, the FFT-domain kernels of the current and target IRs are interpolated within a single engine, preserving the internal convolution state across IR transitions and avoiding the warm-up energy loss inherent to dual-engine crossfading.