Výsledky vyhledávání - "Plumbley, Md"

Fully DNN-based Multi-label regression for audio tagging

Autor: Xu, Y, Huang, Q, Wang, W, Jackson, PJB, Plumbley, MD

Acoustic event detection for content analysis in most cases relies on lots of labeled data. However, manually annotating data is a time-consuming task, which thus makes few annotated resources available so far. Unlike audio event detection, automatic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2a8915b9d9fbbf08fa10f4bac42a87f
http://arxiv.org/abs/1606.07695

Zobrazit plný text záznamu

A model selection test on effective factors of the choice of expressive timing clusters for a phrase

Autor: Li, S, Dixon, S, Black, DAA, Plumbley, MD

We model expressive timing for a phrase in performed classical music as being dependent on two factors: the expressive timing in the previous phrase and the position of the phrase within the piece. We present a model selection test for evaluating can

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______305::5bb1e74b5fff3f51b1ab4a1d2f7091ea
https://surrey.eprints-hosting.org/811572/

Zobrazit plný text záznamu

Wideband spectrum sensing on real-time signals at sub-Nyquist sampling rates in single and cooperative multiple nodes

Autor: Qin, Z, Gao, Y, Plumbley, MD, Parini, CG

This paper presents two new algorithms for wideband spectrum sensing at sub-Nyquist sampling rates, for both single nodes and cooperative multiple nodes. In single-node spectrum sensing, a two-phase spectrum sensing algorithm based on compressive sen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______305::641f3a4f9e91a6e4a366f579fd1bcfbb
https://surrey.eprints-hosting.org/810680/

Zobrazit plný text záznamu

Separating Musical Audio Signals

Autor: Plumbley, MD

As consumers move increasingly to multichannel and surround-sound reproduction of sound, and also perhaps wish to remix their music to suit their own tastes, there will be an increasing need for high quality automatic source separation to recover sou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______305::b2b064dde518e7f4c345d3a77e19e408
https://surrey.eprints-hosting.org/811632/

Zobrazit plný text záznamu

Visualising chord progressions in music collections: a big data approach

Autor: Kachkaev, A, Wolff, D, Barthet, M, Plumbley, MD, Dykes, J, Weyde, T

The analysis of large datasets of music audio and other representations entails the need for techniques that support musicologists and other users in interpreting extracted data. We explore and develop visualisation techniques of chord sequence patte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______305::6e326e6b7fc94ca6ddef85f60aadd800
https://surrey.eprints-hosting.org/807469/

Zobrazit plný text záznamu

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning

Autor: Stowell, D, Plumbley, MD

Publikováno v: PeerJ, Vol 2, p e488 (2014)
PEERJ. PeerJ
PeerJ

Automatic species classification of birds from their sound is a computational tool of increasing importance in ecology, conservation monitoring and vocal communication studies. To make classification useful in practice, it is crucial to improve its a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10006777c4291b7de7927650f0bc7283
https://peerj.com/articles/488.pdf

Zobrazit plný text záznamu

Independent Component Analysis of Functional Magnetic Resonance Imaging Data Using Wavelet Dictionaries

Autor: Johnson, Robert, Marchini, Jonathan, Smith, Stephen, Christian F. Beckmann, Davies, Me, James, Cj, Abdallah, Sa, Plumbley, Md

Publikováno v: Scopus-Elsevier
Independent Component Analysis and Signal Separation ISBN: 9783540744931
ICA
ResearcherID

Functional Magnetic Resonance Imaging (FMRI) allows indirect observation of brain activity through changes in blood oxygenation, which are driven by neural activity. ICA has become a popular exploratory analysis approach due its advantages over regre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb8317e0cd418b6d2a0e1fcaa7c4a95c
http://ora.ox.ac.uk/objects/uuid:1846440a-7c74-46c1-89cf-eae7512683b3

Zobrazit plný text záznamu

Learning overcomplete dictionaries with ℓ0-sparse Non-negative Matrix Factorisation

Autor: O'Hanlon, K, Plumbley, MD

Non-negative Matrix Factorisation (NMF) is a popular tool in which a ‘parts-based’ representation of a non-negative matrix is sought. NMF tends to produce sparse decompositions. This sparsity is a desirable property in many applications, and Spar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______305::2423cd9cc821e41ad998370cb4143c2f
https://surrey.eprints-hosting.org/838866/

Zobrazit plný text záznamu

Predictive Information Rate in Discrete-time Gaussian Processes

Autor: Abdallah, SA, Plumbley, MD

We derive expressions for the predicitive information rate (PIR) for the class of autoregressive Gaussian processes AR(N), both in terms of the prediction coefficients and in terms of the power spectral density. The latter result suggests a duality b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______305::a2775c572d41280e2a8ba2070e4301bc
https://surrey.eprints-hosting.org/809732/

Zobrazit plný text záznamu

Oracle analysis of sparse automatic music transcription

Autor: O'Hanlon, K, Nagano, H, Plumbley, MD

We have previously proposed a structured sparse approach to piano transcription with promising results recorded on a challenging dataset. The approach taken was measured in terms of both frame-based and onset-based metrics. Close inspection of the re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______305::6417bebe208ea09d3ddcdbad5e1d0451
https://surrey.eprints-hosting.org/807558/

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání