121 citations · 129 across the 3 of their papers we have counts for
4 papers
MTCRNN: A multi-scale RNN for directed audio texture synthesis
M. Huzaifah, L. Wyse
Audio textures are a subset of environmental sounds, often defined as having stable statistical characteristics within an adequately large window of time but may be unstructured lo…
Deep generative models for musical audio synthesis
M. Huzaifah, L. Wyse
Sound modelling is the process of developing algorithms that generate sound under parametric control. There are a few distinct approaches that have been developed historically incl…
Conditioning a Recurrent Neural Network to synthesize musical instrument transients
Lonce Wyse, Muhammad Huzaifah
A recurrent Neural Network (RNN) is trained to predict sound samples based on audio input augmented by control parameter information for pitch, volume, and instrument identificatio…
Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks
M. Huzaifah
Recent successful applications of convolutional neural networks (CNNs) to audio classification and speech recognition have motivated the search for better input representations for…