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Rebecca R Vos
Rebecca R Vos
Research Fellow, University of Salford
Verified email at salford.ac.uk
Title
Cited by
Cited by
Year
Determining the relevant criteria for three-dimensional vocal tract characterization
RR Vos, DT Murphy, DM Howard, H Daffern
Journal of Voice 32 (2), 130-142, 2018
142018
The Perception of Formant Tuning in Soprano Voices
RR Vos, DT Murphy, DM Howard, H Daffern
Journal of Voice 32 (1), 126. e1-126. e10, 2018
122018
Resonance tuning in three girl choristers
RR Vos, H Daffern, DM Howard
Journal of Voice 31 (1), 122. e1-122. e7, 2017
122017
A compact noise covariance matrix model for MVDR beamforming
AH Moore, S Hafezi, RR Vos, PA Naylor, M Brookes
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2049-2061, 2022
42022
Evaluation of noise excitation as a method for detection of hypernasality
K Young, T Sweeney, RR Vos, F Mehendale, H Daffern
Applied Acoustics 190, 108639, 2022
42022
The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss
GR Dabike, S Bannister, J Firth, S Graetzer, R Vos, MA Akeroyd, J Barker, ...
arXiv preprint arXiv:2310.05799, 2023
32023
Machine learning for parameter estimation in the MBSTOI binaural intelligibility metric
P Guiraud, AH Moore, RR Vos, PA Naylor, M Brookes
2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2022
32022
A new algorithm for vocal tract shape extraction from singer's waveforms
R Vos, JAS Angus, BH Story
Audio Engineering Society Convention 136, 2014
32014
Processing pipelines for efficient, physically-accurate simulation of microphone array signals in dynamic sound scenes
AH Moore, RR Vos, PA Naylor, M Brookes
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
22021
A binaural MVDR beamformer for the 2021 Clarity Enhancement Challenge: ELO-SPHERES consortium system description
AH Moore, S Hafezi, R Vos, M Brookes, PA Naylor, M Huckvale, S Rosen, ...
Proc. Clarity Workshop on Machine Learning Challenges for Hearing Aids, 2021
22021
The Cadenza ICASSP 2024 Grand Challenge
GR Dabike, MA Akeroyd, S Bannister, J Barker, TJ Cox, B Fazenda, J Firth, ...
arXiv preprint arXiv:2310.03480, 2023
12023
Using a single-channel reference with the MBSTOI binaural intelligibility metric
P Guiraud, AH Moore, RR Vos, PA Naylor, M Brookes
Speech Communication 149, 74-83, 2023
12023
ELO-SPHERES consortium system description
AH Moore, S Hafezi, R Vos, M Brookes, PA Naylor, M Huckvale, S Rosen, ...
Proc. of Clarity, 2021
12021
Resonance Tuning in Professional Operatic Sopranos
R Vos
University of York, 2018
12018
Towards Integration of Biosensors and Hearing Aids for Music
R Stocks, D Williams, RR Vos, T Cox
2023
The Cadenza ICASSP 2024 Grand Challenge
G Roa Dabike, MA Akeroyd, S Bannister, J Barker, TJ Cox, B Fazenda, ...
arXiv e-prints, arXiv: 2310.03480, 2023
2023
The MBSTOI Binaural Intelligibility Metric Using a Close-Talking Microphone Reference
P Guiraud, AH Moore, RR Vos, PA Naylor, M Brookes
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
A systematic review of measurements of real-world interior car noise for the “Cadenza” machine-learning project
JL Firth, TJ Cox, A Greasley, JP Barker, WM Whitmer, B Fazenda, ...
The Journal of the Acoustical Society of America 153 (3_supplement), A332-A332, 2023
2023
A pilot study: Investigating formant tuning in girl choristers through wide-band excitation
R Vos, H Daffern, DM Howard
The Voice Foundation Symposium, 2015
2015
Speech Dereverberation Performance of a Polynomial-EVD Subspace Approach
M Brookes, P Naylor, A Moore, R Vos, P Dawson, AOT Hogg, V Neo, ...
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