b'Dan Stowell'

Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks

Despite the popularity of guitar effects, there is very little existing ...
12/06/2020 ∙ by Marco Comunità, et al. ∙ 0 ∙ share

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Short-term prediction of photovoltaic power generation using Gaussian process regression

Photovoltaic (PV) power is affected by weather conditions, making the po...
10/05/2020 ∙ by Yahya Al Lawati, et al. ∙ 0 ∙ share

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Estimating Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling

The advance of technology for transmitting Data-over-Sound in various Io...
08/13/2019 ∙ by Amogh Matt, et al. ∙ 0 ∙ share

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Efficient On-line Computation of Visibility Graphs

A visibility algorithm maps time series into complex networks following ...
05/08/2019 ∙ by Benito García, et al. ∙ 0 ∙ share

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Visibility graphs for robust harmonic similarity measures between audio spectra

Graph theory is emerging as a new source of tools for time series analys...
03/05/2019 ∙ by Benito García, et al. ∙ 0 ∙ share

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End-to-End Probabilistic Inference for Nonstationary Audio Analysis

A typical audio signal processing pipeline includes multiple disjoint an...
01/31/2019 ∙ by William J. Wilkinson, et al. ∙ 0 ∙ share

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Unifying Probabilistic Models for Time-Frequency Analysis

In audio signal processing, probabilistic time-frequency models have man...
11/06/2018 ∙ by William J. Wilkinson, et al. ∙ 0 ∙ share

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NIPS4Bplus: a richly annotated birdsong audio dataset

Recent advances in birdsong detection and classification have approached...
11/06/2018 ∙ by Veronica Morfi, et al. ∙ 0 ∙ share

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Sparse Gaussian process Audio Source Separation Using Spectrum Priors in the Time-Domain

Gaussian process (GP) audio source separation is a time-domain approach ...
10/30/2018 ∙ by Pablo A. Alvarado, et al. ∙ 2 ∙ share

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Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions

Many animals emit vocal sounds which, independently from the sounds' fun...
10/22/2018 ∙ by Dan Stowell, et al. ∙ 0 ∙ share

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Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event Detection Using Deep Learning

We propose a method to perform audio event detection under the common co...
07/17/2018 ∙ by Veronica Morfi, et al. ∙ 0 ∙ share

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Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge

Assessing the presence and abundance of birds is important for monitorin...
07/16/2018 ∙ by Dan Stowell, et al. ∙ 0 ∙ share

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Deep Learning for Audio Transcription on Low-Resource Datasets

In training a deep learning system to perform audio transcription, two p...
07/10/2018 ∙ by Veronica Morfi, et al. ∙ 0 ∙ share

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Deep Learning on Low-Resource Datasets

In training a deep learning system to perform audio transcription, two p...
07/10/2018 ∙ by Veronica Morfi, et al. ∙ 0 ∙ share

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Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation

Kernel Additive Modelling (KAM) is a framework for source separation aim...
04/06/2018 ∙ by Benito García, et al. ∙ 0 ∙ share

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A Generative Model for Natural Sounds Based on Latent Force Modelling

Recent advances in analysis of subband amplitude envelopes of natural so...
02/02/2018 ∙ by William J. Wilkinson, et al. ∙ 0 ∙ share

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Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music

Automatic music transcription (AMT) aims to infer a latent symbolic repr...
05/19/2017 ∙ by Pablo A. Alvarado, et al. ∙ 0 ∙ share

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Gaussian Processes for Music Audio Modelling and Content Analysis

Real music signals are highly variable, yet they have strong statistical...
06/03/2016 ∙ by Pablo A. Alvarado, et al. ∙ 0 ∙ share

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Denoising without access to clean data using a partitioned autoencoder

Training a denoising autoencoder neural network requires access to truly...
09/20/2015 ∙ by Dan Stowell, et al. ∙ 0 ∙ share

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Segregating event streams and noise with a Markov renewal process model

We describe an inference task in which a set of timestamped event observ...
11/13/2012 ∙ by Dan Stowell, et al. ∙ 0 ∙ share

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Dan Stowell

Featured Co-authors

Richard E. Turner

Mark D. Plumbley

Arno Solin

Mauricio A. Álvarez

Mark Sandler

Michael Riis Andersen

Yannis Stylianou

Herve Glotin

Joshua D. Reiss

William J. Wilkinson

Veronica Morfi

Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks

Short-term prediction of photovoltaic power generation using Gaussian process regression

Estimating Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling

Efficient On-line Computation of Visibility Graphs

Visibility graphs for robust harmonic similarity measures between audio spectra

End-to-End Probabilistic Inference for Nonstationary Audio Analysis

Unifying Probabilistic Models for Time-Frequency Analysis

NIPS4Bplus: a richly annotated birdsong audio dataset

Sparse Gaussian process Audio Source Separation Using Spectrum Priors in the Time-Domain

Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions

Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event Detection Using Deep Learning

Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge

Deep Learning for Audio Transcription on Low-Resource Datasets

Deep Learning on Low-Resource Datasets

Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation

A Generative Model for Natural Sounds Based on Latent Force Modelling

Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music

Gaussian Processes for Music Audio Modelling and Content Analysis

Denoising without access to clean data using a partitioned autoencoder

Segregating event streams and noise with a Markov renewal process model