Stebėti
Yan Tang
Yan Tang
Patvirtintas el. paštas illinois.edu
Pavadinimas
Cituota
Cituota
Metai
Evaluating the intelligibility benefit of speech modifications in known noise conditions
M Cooke, C Mayo, C Valentini-Botinhao, Y Stylianou, B Sauert, Y Tang
Speech Communication 55 (4), 572-585, 2013
1492013
An audio-visual system for object-based audio: from recording to listening
P Coleman, A Franck, J Francombe, Q Liu, T De Campos, RJ Hughes, ...
IEEE Transactions on Multimedia 20 (8), 1919-1931, 2018
672018
Optimised spectral weightings for noise-dependent speech intelligibility enhancement.
Y Tang, M Cooke
Interspeech, 955-958, 2012
612012
Subjective and Objective Evaluation of Speech Intelligibility Enhancement Under Constant Energy and Duration Constraints.
Y Tang, M Cooke
Interspeech, 345-348, 2011
552011
Energy reallocation strategies for speech enhancement in known noise conditions.
Y Tang, M Cooke
Interspeech, 1636-1639, 2010
502010
A perceptually-weighted deep neural network for monaural speech enhancement in various background noise conditions
Q Liu, W Wang, PJB Jackson, Y Tang
2017 25th European Signal Processing Conference (EUSIPCO), 1270-1274, 2017
442017
Glimpse-based metrics for predicting speech intelligibility in additive noise conditions
Y Tang, M Cooke
402016
Evaluating the predictions of objective intelligibility metrics for modified and synthetic speech
Y Tang, M Cooke, C Valentini-Botinhao
Computer Speech & Language 35, 73-92, 2016
332016
A study on the relationship between the intelligibility and quality of algorithmically-modified speech for normal hearing listeners
Y Tang, C Arnold, TJ Cox
Journal of Otorhinolaryngology, Hearing and Balance Medicine 1 (1), 5, 2017
272017
A metric for predicting binaural speech intelligibility in stationary noise and competing speech maskers
Y Tang, M Cooke, BM Fazenda, TJ Cox
The Journal of the Acoustical Society of America 140 (3), 1858-1870, 2016
222016
The effect of situation-specific non-speech acoustic cues on the intelligibility of speech in noise
L Ward, BG Shirley, Y Tang, WJ Davies
212017
Automatic speech-to-background ratio selection to maintain speech intelligibility in broadcasts using an objective intelligibility metric
Y Tang, BM Fazenda, TJ Cox
Applied Sciences 8 (1), 59, 2018
202018
Learning static spectral weightings for speech intelligibility enhancement in noise
Y Tang, M Cooke
Computer Speech & Language 49, 1-16, 2018
172018
A corpus of noise-induced word misperceptions for Spanish
MA Tóth, ML García Lecumberri, Y Tang, M Cooke
The Journal of the Acoustical Society of America 137 (2), EL184-EL189, 2015
162015
A glimpse-based approach for predicting binaural intelligibility with single and multiple maskers in anechoic conditions.
Y Tang, M Cooke, BM Fazenda, TJ Cox
INTERSPEECH, 2568-2572, 2015
122015
Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms
Y Tang, RJ Hughes, BM Fazenda, TJ Cox
Speech Communication 82, 26-37, 2016
102016
A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones
Y Tang, Q Liu, W Wang, TJ Cox
Speech Communication 96, 116-128, 2018
92018
Elicitation and analysis of a corpus of robust noise-induced word misperceptions in Spanish.
MLG Lecumberri, MA Tóth, Y Tang, M Cooke
INTERSPEECH, 2807-2811, 2013
92013
Speech intelligibility enhancement and glimpse-based intelligibility models for known noise conditions
Y Tang
Universidad del País Vasco-Euskal Herriko Unibertsitatea, 2014
82014
A framework for intelligent metadata adaptation in object-based audio
J Woodcock, J Franombe, A Franck, P Coleman, R Hughes, H Kim, Q Liu, ...
Audio Engineering Society Conference: 2018 AES International Conference on …, 2018
72018
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