Παρακολούθηση
Christine Evers
Christine Evers
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα soton.ac.uk - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
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The LOCATA challenge: Acoustic source localization and tracking
C Evers, HW Löllmann, H Mellmann, A Schmidt, H Barfuss, PA Naylor, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1620-1643, 2020
1292020
The LOCATA challenge data corpus for acoustic source localization and tracking
HW Löllmann, C Evers, A Schmidt, H Mellmann, H Barfuss, PA Naylor, ...
2018 IEEE 10th Sensor array and multichannel signal processing workshop (SAM …, 2018
1092018
Acoustic slam
C Evers, PA Naylor
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (9), 1484 …, 2018
922018
Direction of arrival estimation in the spherical harmonic domain using subspace pseudointensity vectors
AH Moore, C Evers, PA Naylor
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (1), 178-192, 2016
902016
Acoustic simultaneous localization and mapping (A-SLAM) of a moving microphone array and its surrounding speakers
C Evers, AH Moore, PA Naylor
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
532016
Direction of arrival estimation using pseudo-intensity vectors with direct-path dominance test
AH Moore, C Evers, PA Naylor, DL Alon, B Rafaely
2015 23rd European Signal Processing Conference (EUSIPCO), 2296-2300, 2015
522015
Multiple source localisation in the spherical harmonic domain
C Evers, AH Moore, PA Naylor
2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2014
492014
Optimized self-localization for SLAM in dynamic scenes using probability hypothesis density filters
C Evers, PA Naylor
IEEE Transactions on Signal Processing 66 (4), 863-878, 2017
432017
Bearing-only acoustic tracking of moving speakers for robot audition
C Evers, AH Moore, PA Naylor, J Sheaffer, B Rafaely
2015 IEEE International Conference on Digital Signal Processing (DSP), 1206-1210, 2015
412015
Source tracking using moving microphone arrays for robot audition
C Evers, Y Dorfan, S Gannot, PA Naylor
2017 IEEE international conference on acoustics, speech and signal …, 2017
312017
A polynomial eigenvalue decomposition MUSIC approach for broadband sound source localization
AOT Hogg, VW Neo, S Weiss, C Evers, PA Naylor
2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021
232021
DoA reliability for distributed acoustic tracking
C Evers, EAP Habets, S Gannot, PA Naylor
IEEE Signal Processing Letters 25 (9), 1320-1324, 2018
232018
Tracking multiple audio sources with the von mises distribution and variational em
Y Ban, X Alameda-Pineda, C Evers, R Horaud
IEEE Signal Processing Letters 26 (6), 798-802, 2019
222019
Enhancement of noisy reverberant speech using polynomial matrix eigenvalue decomposition
VW Neo, C Evers, PA Naylor
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3255-3266, 2021
172021
Speech enhancement using polynomial eigenvalue decomposition
VW Neo, C Evers, PA Naylor
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
172019
Speaker change detection using fundamental frequency with application to multi-talker segmentation
AOT Hogg, C Evers, PA Naylor
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
162019
PEVD-based speech enhancement in reverberant environments
VW Neo, C Evers, PA Naylor
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
142020
Sparse parametric modeling of the early part of acoustic impulse responses
C Papayiannis, C Evers, PA Naylor
2017 25th European Signal Processing Conference (EUSIPCO), 678-682, 2017
132017
Parametric modelling for single-channel blind dereverberation of speech from a moving speaker
C Evers, JR Hopgood
IET Signal Processing 2 (2), 59-74, 2008
132008
Non-markovian reward modelling from trajectory labels via interpretable multiple instance learning
J Early, T Bewley, C Evers, S Ramchurn
Advances in Neural Information Processing Systems 35, 27652-27663, 2022
112022
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