Download FPGA-Enabled Real-Time Audio Sampling, Processing, and Recording for an Electronic Drum Set Processing and recording multitrack audio from an electronic drum set is demanding of computational power and hardware resources. In this paper, we present a complete musical instrument system capable of up to 16-channel percussion sampling, processing, and recording, all in real time. The system leverages a field programmable gate array (FPGA) for parallel audio processing and includes audio effects such as pitch shift, delay, reverb, distortion, a virtual analog low-pass filter, and bit crush. The FPGA also provides interfaces for other system hardware, including an Ethernet audio interface and various audio effect control interfaces. The final design has a cost of under $500 and utilizes about half of the hardware resources on an entry-level FPGA, providing a future platform for more advanced percussion synthesis using real-time physical modeling.
Download ALAMODE: Automated Learning of Acoustical Modal Parameters via Differential Evolution This paper is a technical report on the methodology submitted for Task A of the 1st DAFx Parameter Estimation Challenge. The goal of the challenge’s task is to invert the multi-dimensional physical and geometric parameters of a virtual plate reverberator given a target reference impulse response. To achieve this, we present a multi-stage gradient-free optimization framework. This three-stage optimization is computed using an efficient physics-based simulator, starting with an optimization of only mode frequency-determining physical parameters, followed by a 6-DoF parameter optimization with position-determining ones and a final phase for frequency- and position-independent mode amplitude estimation.
Download Performance-Oriented Wave Digital Circuit Emulation Wave Digital Filters are a circuit-modeling paradigm well-suited for reusable software implementation, but existing software implementations often incur significant overhead due to run-time abstractions and data layout constraints. This paper presents a performance-oriented toolchain for implementing Wave Digital circuit models based on static code generation. The toolchain consists of a declarative circuit description language, a compiler that generates circuit simulation code with minimal persistent state and no run-time abstraction, and a minimal runtime library implementing specialized circuit components as Wave Digital Filters. Performance measurements across several test circuits demonstrate that the generated models consistently outperform existing implementations, and achieve near-ideal performance relative to a theoretical execution bound.