Search Results for author: Scott H. Hawley

Found 7 papers, 4 papers with code

Fast Timing-Conditioned Latent Audio Diffusion

2 code implementations7 Feb 2024 Zach Evans, CJ Carr, Josiah Taylor, Scott H. Hawley, Jordi Pons

Generating long-form 44. 1kHz stereo audio from text prompts can be computationally demanding.

Leveraging Neural Representations for Audio Manipulation

no code implementations10 Apr 2023 Scott H. Hawley, Christian J. Steinmetz

We investigate applying audio manipulations using pretrained neural network-based autoencoders as an alternative to traditional signal processing methods, since the former may provide greater semantic or perceptual organization.

Disentanglement

espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology

no code implementations23 Oct 2021 Scott H. Hawley, Andrew C. Morrison, Grant S. Morgan

Besides improvements on previous metric scores by 10% or more, noteworthy in this project are the introduction of a segmentation-regression map for the entire drum surface yielding interference fringe counts comparable to those obtained via object detection, as well as the accelerated workflow for coordinating the data-cleaning-and-model-training feedback loop for rapid iteration allowing this project to be conducted on a timescale of only 18 days.

Image Segmentation Object +5

ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums

1 code implementation1 Feb 2021 Scott H. Hawley, Andrew C. Morrison

We train an object detector built from convolutional neural networks to count interference fringes in elliptical antinode regions in frames of high-speed video recordings of transient oscillations in Caribbean steelpan drums illuminated by electronic speckle pattern interferometry (ESPI).

Generative Adversarial Network object-detection +2

Exploring Quality and Generalizability in Parameterized Neural Audio Effects

1 code implementation10 Jun 2020 William Mitchell, Scott H. Hawley

Deep neural networks have shown promise for music audio signal processing applications, often surpassing prior approaches, particularly as end-to-end models in the waveform domain.

Audio Signal Processing Computational Efficiency

SignalTrain: Profiling Audio Compressors with Deep Neural Networks

1 code implementation28 May 2019 Scott H. Hawley, Benjamin Colburn, Stylianos I. Mimilakis

In this work we present a data-driven approach for predicting the behavior of (i. e., profiling) a given non-linear audio signal processing effect (henceforth "audio effect").

Audio Effects Modeling

Challenges for an Ontology of Artificial Intelligence

no code implementations25 Feb 2019 Scott H. Hawley

Each of these factors is seen to present a 'moving target' for discussion, which poses a challenge for both technical specialists and non-practitioners of AI systems development (e. g., philosophers and theologians) to speak meaningfully given that the corpus of AI structures and capabilities evolves at a rapid pace.

Philosophy

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