Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Patrick A. Naylor"'
Autor:
Emilie d'Olne, Alastair H. Moore, Patrick A. Naylor, Jacob Donley, Vladimir Tourbabin, Thomas Lunner
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 374-382 (2024)
Recent years have seen a growing interest in the use of smart glasses mounted with microphones to solve the cocktail party problem using beamforming techniques or machine learning. Many such approaches could bring substantial advances in hearing aid
Externí odkaz:
https://doaj.org/article/4cf7419c9997449b8cb4a2729950b427
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 19-28 (2024)
Neural networks have achieved state-of-the-art performance on the task of acoustic Direction-of-Arrival (DOA) estimation using microphone arrays. Neural models can be classified as end-to-end or hybrid, each class showing advantages and disadvantages
Externí odkaz:
https://doaj.org/article/b5dfd8ba0fc74f2eba23aa490f58232d
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-12 (2023)
Abstract In many signal processing applications, metadata may be advantageously used in conjunction with a high dimensional signal to produce a desired output. In the case of classical Sound Source Localization (SSL) algorithms, information from a hi
Externí odkaz:
https://doaj.org/article/96d9082238954506a790c7d6f103280f
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2010 (2010)
We address the measurement of reverberation in terms of the (DRR) in the context of the assessment of dereverberation algorithms for which we wish to quantify the level of reverberation before and after processing. The DRR is normally calculated from
Externí odkaz:
https://doaj.org/article/c7ad74d30a71460087d4e57ce728ef32
Autor:
Hania Maqsood, Patrick A. Naylor
Publikováno v:
NUST Journal of Engineering Sciences, Vol 1, Iss 1 (2008)
The Dynamic Programming Projected-Phase Slope Algorithm (DYPSA) detects glottal closure instants (GCI) in speech signals. We present an improvement in the algorithm in which a voiced/unvoiced/silence discrimination measure is applied in order to redu
Externí odkaz:
https://doaj.org/article/319460366bd14793b3d68ac420b85df3
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2008 (2008)
We propose a new low complexity, low delay, and fast converging frequency-domain adaptive algorithm for network echo cancellation in VoIP exploiting MMax and sparse partial (SP) tap-selection criteria in the frequency domain. We incorporate these tap
Externí odkaz:
https://doaj.org/article/168b06731f1e4bb29e32475728f87a5f
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2007 (2007)
A sparse system identification algorithm for network echo cancellation is presented. This new approach exploits both the fast convergence of the improved proportionate normalized least mean square (IPNLMS) algorithm and the efficient implementation o
Externí odkaz:
https://doaj.org/article/caacdf111861460688a3c243d0a54473
Autor:
Kutluyıl Doğançay, Patrick A. Naylor
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2007 (2007)
Externí odkaz:
https://doaj.org/article/3b161e93f9234e5090088b0017848c4a
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Distributed Microphone Arrays (DMAs) present many challenges with respect to centralized microphone arrays. An important requirement of applications on these arrays is handling a variable number of input channels. We consider the use of Graph Neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1ba1aea2d529d67965d07ddfc900a44