Single-channel speech enhancement using spectral subtraction in the short-time modulation domain K Paliwal, K Wójcicki, B Schwerin Speech communication 52 (5), 450-475, 2010 | 246 | 2010 |
Speech enhancement using a minimum mean-square error short-time spectral modulation magnitude estimator K Paliwal, B Schwerin, K Wójcicki Speech Communication 54 (2), 282-305, 2012 | 93 | 2012 |
Using STFT real and imaginary parts of modulation signals for MMSE-based speech enhancement B Schwerin, K Paliwal Speech Communication 58, 49-68, 2014 | 38 | 2014 |
An improved speech transmission index for intelligibility prediction B Schwerin, K Paliwal Speech Communication 65, 9-19, 2014 | 36 | 2014 |
Role of modulation magnitude and phase spectrum towards speech intelligibility K Paliwal, B Schwerin, K Wójcicki Speech Communication 53 (3), 327-339, 2011 | 31 | 2011 |
Local-DCT features for facial recognition B Schwerin, K Paliwal 2008 2nd International Conference on Signal Processing and Communication …, 2008 | 25 | 2008 |
Improving objective intelligibility prediction by combining correlation and coherence based methods with a measure based on the negative distortion ratio AM Gomez, B Schwerin, K Paliwal Speech Communication 54 (3), 503-515, 2012 | 18 | 2012 |
RR-APET-Heart rate variability analysis software M McConnell, B Schwerin, S So, B Richards Computer methods and programs in biomedicine 185, 105127, 2020 | 17 | 2020 |
Phase distortion resulting in a just noticeable difference in the perceived quality of speech R Chappel, B Schwerin, K Paliwal Speech Communication 81, 138-147, 2016 | 13 | 2016 |
Deep learning for real-time ecg r-peak prediction P Zhou, B Schwerin, B Lauder, S So 2020 14th International Conference on Signal Processing and Communication …, 2020 | 8 | 2020 |
Single channel speech enhancement using MMSE estimation of short-time modulation magnitude spectrum K Paliwal, B Schwerin, K Wójcicki Twelfth Annual Conference of the International Speech Communication Association, 2011 | 8 | 2011 |
Using an automated speech recognition approach to differentiate between normal and aspirating swallowing sounds recorded from digital cervical auscultation in children TT Frakking, AB Chang, C Carty, J Newing, KA Weir, B Schwerin, S So Dysphagia 37 (6), 1482-1492, 2022 | 6 | 2022 |
Using dynamic time warping for noise robust ecg r-peak detection B Lauder, B Schwerin, M McConnell, S So 2019 13th International Conference on Signal Processing and Communication …, 2019 | 6 | 2019 |
Investigation of DNN prediction of power spectral envelopes for speech coding & ASR C Pickersgill, S So, B Schwerin 17th Speech Science and Technology Conference (SST2018), Sydney, Australia, 2018 | 6 | 2018 |
Objective intelligibility prediction of speech by combining correlation and distortion based techniques AM Gomez, B Schwerin, K Paliwal Twelfth Annual Conference of the International Speech Communication Association, 2011 | 6 | 2011 |
Modulation domain spectral subtraction for speech enhancement K Paliwal, B Schwerin, K Wójcicki Tenth Annual Conference of the International Speech Communication Association, 2009 | 5 | 2009 |
Speech enhancement using STFT real and imaginary parts of modulation signals B Schwerin, K Paliwal Proc. of SST, 25-28, 2012 | 3 | 2012 |
Enhancing maths teaching resources: Topic videos and tutorial streaming development B Schwerin, H Espinosa, I Gretchev, G Lohmann Research in Engineering Education Symposium and Australasian Association for …, 2021 | 1 | 2021 |
Classification of Steering Wheel Contacts from Electrocardiogram Signals Using Machine Learning M McConnell, B Schwerin, N Podolsky, M Lee, B Richards, S So 10th International Conference on Signal Processing, Communications and …, 2020 | 1 | 2020 |
A comparison of estimation methods in the discrete cosine transform modulation domain for speech enhancement AEW George, C Pickersgill, B Schwerin, S So 2016 10th International Conference on Signal Processing and Communication …, 2016 | 1 | 2016 |