Phil Green
Phil Green
Professor of Computer Science, University of Sheffield
Verified email at
Cited by
Cited by
Robust automatic speech recognition with missing and unreliable acoustic data
M Cooke, P Green, L Josifovski, A Vizinho
Speech communication 34 (3), 267-285, 2001
The PASCAL CHiME speech separation and recognition challenge
J Barker, E Vincent, N Ma, H Christensen, P Green
Computer Speech & Language 27 (3), 621-633, 2013
From WER and RIL to MER and WIL: improved evaluation measures for connected speech recognition.
AC Morris, V Maier, PD Green
Interspeech, 2765-2768, 2004
Soft decisions in missing data techniques for robust automatic speech recognition.
J Barker, L Josifovski, M Cooke, PD Green
INTERSPEECH, 373-376, 2000
The CHiME corpus: a resource and a challenge for computational hearing in multisource environments
H Christensen, J Barker, N Ma, PD Green
Eleventh annual conference of the international speech communication association, 2010
Robust ASR based on clean speech models: an evaluation of missing data techniques for connected digit recognition in noise.
J Barker, M Cooke, PD Green
INTERSPEECH, 213-217, 2001
Missing data techniques for robust speech recognition
M Cooke, A Morris, P Green
1997 IEEE international conference on acoustics, speech, and signal …, 1997
A comparative study of adaptive, automatic recognition of disordered speech.
H Christensen, SP Cunningham, C Fox, PD Green, T Hain
Interspeech, 1776-1779, 2012
A voice-input voice-output communication aid for people with severe speech impairment
MS Hawley, SP Cunningham, PD Green, P Enderby, R Palmer, S Sehgal, ...
IEEE Transactions on neural systems and rehabilitation engineering 21 (1), 23-31, 2012
A speech-controlled environmental control system for people with severe dysarthria
MS Hawley, P Enderby, P Green, S Cunningham, S Brownsell, ...
Medical Engineering & Physics 29 (5), 586-593, 2007
Some solution to the missing feature problem in data classification, with application to noise robust ASR
AC Morris, MP Cooke, PD Green
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998
Automatic speech recognition with sparse training data for dysarthric speakers.
PD Green, J Carmichael, A Hatzis, P Enderby, MS Hawley, M Parker
Interspeech, 1189-1192, 2003
Handling missing data in speech recognition.
M Cooke, PD Green, M Crawford
ICSLP, 1555-1558, 1994
Missing data theory, spectral subtraction and signal-to-noise estimation for robust ASR: An integrated study
A Vizinho, P Green, M Cooke, L Josifovski
Sixth European Conference on Speech Communication and Technology, 1999
Direct speech reconstruction from articulatory sensor data by machine learning
JA Gonzalez, LA Cheah, AM Gomez, PD Green, JM Gilbert, SR Ell, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (12 …, 2017
Speech enhancement with missing data techniques using recurrent neural networks
S Parveen, P Green
2004 IEEE international conference on acoustics, speech, and signal …, 2004
Isolated word recognition of silent speech using magnetic implants and sensors
JM Gilbert, SI Rybchenko, R Hofe, SR Ell, MJ Fagan, RK Moore, P Green
Medical engineering & physics 32 (10), 1189-1197, 2010
Small-vocabulary speech recognition using a silent speech interface based on magnetic sensing
R Hofe, SR Ell, MJ Fagan, JM Gilbert, PD Green, RK Moore, ...
Speech Communication 55 (1), 22-32, 2013
Exploiting correlogram structure for robust speech recognition with multiple speech sources
N Ma, P Green, J Barker, A Coy
Speech Communication 49 (12), 874-891, 2007
Automatic speech recognition and training for severely dysarthric users of assistive technology: The STARDUST project
M Parker, S Cunningham, P Enderby, M Hawley, P Green
Clinical linguistics & phonetics 20 (2-3), 149-156, 2006
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