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Ben P. Milner
Ben Milner
Person information
- affiliation: School of Computer Science, University of East Anglia, Norwich, UK
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2020 – today
- 2023
- [c85]Georgiana-Elena Sfeclis, Ben Milner, Danny Websdale:
Investigating Imaginary Mask Estimation in Complex Masking for Speech Enhancement. EUSIPCO 2023: 131-135 - [c84]Jonathan Windle
, Iain A. Matthews
The UEA Digital Humans entry to the GENEA Challenge 2023. ICMI 2023: 802-810 - 2022
- [j19]Danny Websdale
Speaker-Independent Speech Animation Using Perceptual Loss Functions and Synthetic Data. IEEE Trans. Multim. 24: 2539-2552 (2022) - 2021
- [c83]William Vickers, Ben Milner, Robert Lee:
Improving The Robustness Of Right Whale Detection In Noisy Conditions Using Denoising Autoencoders And Augmented Training. ICASSP 2021: 91-95
2010 – 2019
- 2019
- [j18]Ausdang Thangthai, Ben Milner, Sarah Taylor:
Synthesising visual speech using dynamic visemes and deep learning architectures. Comput. Speech Lang. 55: 101-119 (2019) - 2018
- [j17]Faheem Khan, Ben P. Milner, Thomas Le Cornu
Using Visual Speech Information in Masking Methods for Audio Speaker Separation. IEEE ACM Trans. Audio Speech Lang. Process. 26(10): 1742-1754 (2018) - [c82]Danny Websdale, Sarah Taylor, Ben Milner:
The Effect of Real-Time Constraints on Automatic Speech Animation. INTERSPEECH 2018: 2479-2483 - 2017
- [j16]Philip Harding, Ben Milner:
Estimating acoustic speech features in low signal-to-noise ratios using a statistical framework. Comput. Speech Lang. 42: 1-19 (2017) - [j15]Thomas Le Cornu, Ben Milner:
Generating Intelligible Audio Speech From Visual Speech. IEEE ACM Trans. Audio Speech Lang. Process. 25(9): 1751-1761 (2017) - [c81]Danny Websdale, Ben Milner:
Using visual speech information and perceptually motivated loss functions for binary mask estimation. AVSP 2017: 41-46 - [c80]Danny Websdale, Ben Milner:
A Comparison of Perceptually Motivated Loss Functions for Binary Mask Estimation in Speech Separation. INTERSPEECH 2017: 2003-2007 - 2016
- [c79]Sarah Taylor, Akihiro Kato, Iain A. Matthews, Ben P. Milner:
Audio-to-Visual Speech Conversion Using Deep Neural Networks. INTERSPEECH 2016: 1482-1486 - [c78]Ausdang Thangthai, Ben Milner, Sarah Taylor:
Visual Speech Synthesis Using Dynamic Visemes, Contextual Features and DNNs. INTERSPEECH 2016: 2458-2462 - [c77]Akihiro Kato, Ben P. Milner:
HMM-Based Speech Enhancement Using Sub-Word Models and Noise Adaptation. INTERSPEECH 2016: 3748-3752 - 2015
- [j14]Philip Harding, Ben Milner:
Reconstruction-based speech enhancement from robust acoustic features. Speech Commun. 75: 62-75 (2015) - [c76]Thomas Le Cornu, Ben Milner:
Voicing classification of visual speech using convolutional neural networks. AVSP 2015: 103-108 - [c75]Danny Websdale, Ben Milner:
Analysing the importance of different visual feature coefficients. AVSP 2015: 137-142 - [c74]Danny Websdale, Thomas Le Cornu, Ben Milner:
Objective measures for predicting the intelligibility of spectrally smoothed speech with artificial excitation. INTERSPEECH 2015: 638-642 - [c73]Faheem Khan, Ben Milner:
Using audio and visual information for single channel speaker separation. INTERSPEECH 2015: 1517-1521 - [c72]Thomas Le Cornu, Ben Milner:
Reconstructing intelligible audio speech from visual speech features. INTERSPEECH 2015: 3355-3359 - 2014
- [c71]Akihiro Kato, Ben Milner:
Using hidden Markov models for speech enhancement. INTERSPEECH 2014: 2695-2699 - 2013
- [j13]Ben Milner:
Enhancing speech at very low signal-to-noise ratios using non-acoustic reference signals. Speech Commun. 55(9): 879-892 (2013) - [c70]Faheem Khan, Ben Milner:
Speaker separation using visually-derived binary masks. AVSP 2013: 215-220 - [c69]John H. Taylor, Ben Milner:
Modelling and estimation of the fundamental frequency of speech using a hidden Markov model. INTERSPEECH 2013: 1926-1930 - [c68]Faheem Khan, Ben Milner:
Speaker separation using visual speech features and single-channel audio. INTERSPEECH 2013: 3264-3268 - 2012
- [c67]Philip Harding, Ben Milner:
Enhancing Speech by Reconstruction from Robust Acoustic Features. INTERSPEECH 2012: 943-946 - [c66]Philip Harding, Ben Milner:
On the use of Machine Learning Methods for Speech and Voicing Classification. INTERSPEECH 2012: 1981-1984 - 2011
- [j12]Ben Milner, Jonathan Darch
Robust Acoustic Speech Feature Prediction From Noisy Mel-Frequency Cepstral Coefficients. IEEE Trans. Speech Audio Process. 19(2): 338-347 (2011) - [j11]Ibrahim Almajai, Ben Milner:
Visually Derived Wiener Filters for Speech Enhancement. IEEE Trans. Speech Audio Process. 19(6): 1642-1651 (2011) - [c65]Ben Milner:
Maximum a posteriori Estimation of Noise from Non-Acoustic Reference Signals in Very Low Signal-to-Noise Ratio Environments. INTERSPEECH 2011: 357-360 - [c64]Philip Harding, Ben Milner:
Speech Enhancement by Reconstruction from Cleaned Acoustic Features. INTERSPEECH 2011: 1189-1192 - [c63]Alipah Pawi, Saeed Vaseghi, Ben Milner, Seyed Ghorshi:
Fundamental Frequency Estimation Using Modified Higher Order Moments and Multiple Windows. INTERSPEECH 2011: 1965-1968 - 2010
- [c62]Alipah Pawi, Saeed Vaseghi, Ben Milner:
Pitch extraction using modified higher order moments. ICASSP 2010: 5078-5081
2000 – 2009
- 2009
- [c61]Ibrahim Almajai, Ben Milner:
Effective visually-derived Wiener filtering for audio-visual speech processing. AVSP 2009: 134-139 - [c60]Ben Milner, Jonathan Darch, Ibrahim Almajai:
Reconstructing clean speech from noisy MFCC vectors. INTERSPEECH 2009: 1943-1946 - [c59]Ibrahim Almajai, Ben Milner:
Enhancing audio speech using visual speech features. INTERSPEECH 2009: 1959-1962 - 2008
- [j10]Qin Yan, Saeed Vaseghi, Esfandiar Zavarehei, Ben Milner, Jonathan Darch
Kalman tracking of linear predictor and harmonic noise models for noisy speech enhancement. Comput. Speech Lang. 22(1): 69-83 (2008) - [c58]Ibrahim Almajai, Ben P. Milner:
Using audio-visual features for robust voice activity detection in clean and noisy speech. EUSIPCO 2008: 1-5 - [c57]Ben P. Milner, Jonathan Darch, Ibrahim Almajai, Saeed Vaseghi:
Comparing noise compensation methods for robust prediction of acoustic speech features from MFCC vectors in noise. EUSIPCO 2008: 1-5 - [c56]Ben Milner, Jonathan Darch
Applying noise compensation methods to robustly predict acoustic speech features from MFCC vectors in noise. ICASSP 2008: 3945-3948 - 2007
- [j9]Qin Yan, Saeed Vaseghi, Esfandiar Zavarehei, Ben P. Milner, Jonathan Darch
Formant tracking linear prediction model using HMMs and Kalman filters for noisy speech processing. Comput. Speech Lang. 21(3): 543-561 (2007) - [j8]Ben Milner, Xu Shao:
Prediction of Fundamental Frequency and Voicing From Mel-Frequency Cepstral Coefficients for Unconstrained Speech Reconstruction. IEEE Trans. Speech Audio Process. 15(1): 24-33 (2007) - [c55]Ben Milner, Ibrahim Almajai:
Noisy audio speech enhancement using Wiener filters derived from visual speech. AVSP 2007: 16 - [c54]Ibrahim Almajai, Ben Milner:
Maximising audio-visual speech correlation. AVSP 2007: 17 - [c53]Qin Yan, Saeed Vaseghi, Esfandiar Zavarehei, Ben P. Milner:
Restoration of noisy and band limited archived speech records with linear predictor and harmonic noise models. EUSIPCO 2007: 80-84 - [c52]Jonathan Darch
An Investigation into the Correlation and Prediction of Acoustic Speech Features from MFCC Vectors. ICASSP (4) 2007: 465-468 - [c51]Ibrahim Almajai, Ben Milner, Jonathan Darch
Visually-Derived Wiener Filters for Speech Enhancement. ICASSP (4) 2007: 585-588 - [c50]Jonathan Darch, Ben Milner:
A comparison of estimated and MAP-predicted formants and fundamental frequencies with a speech reconstruction application. INTERSPEECH 2007: 542-545 - 2006
- [j7]Ben Milner, Xu Shao:
Clean speech reconstruction from MFCC vectors and fundamental frequency using an integrated front-end. Speech Commun. 48(6): 697-715 (2006) - [j6]Ben Milner, Christian Wellekens, Børge Lindberg:
Special Issue on Robustness Issues for Conversational Interaction. Speech Commun. 48(11): 1399-1401 (2006) - [j5]Alastair Bruce James, Ben Milner:
Towards improving the robustness of distributed speech recognition in packet loss. Speech Commun. 48(11): 1402-1421 (2006) - [j4]Jonathan Darch
MAP prediction of formant frequencies and voicing class from MFCC vectors in noise. Speech Commun. 48(11): 1556-1572 (2006) - [j3]Ben Milner, Alastair Bruce James:
Robust speech recognition over mobile and IP networks in burst-like packet loss. IEEE Trans. Speech Audio Process. 14(1): 223-231 (2006) - [j2]Ling Ma, Ben Milner, Dan J. Smith:
Acoustic environment classification. ACM Trans. Speech Lang. Process. 3(2): 1-22 (2006) - [c49]Qin Yan, Saeed Vaseghi, Esfandiar Zavarehei, Ben P. Milner:
Kalman filter with linear predictor and harmonic noise models for noisy speech enhancement. EUSIPCO 2006: 1-4 - [c48]Mark Hadley, Ben Milner, Richard W. Harvey
Noise Reduction for Driver-To-Pit-Crew Communication in Motor Racing. ICASSP (1) 2006: 165-168 - [c47]Ibrahim Almajai, Ben Milner, Jonathan Darch:
Analysis of correlation between audio and visual speech features for clean audio feature prediction in noise. INTERSPEECH 2006 - [c46]Jonathan Darch, Ben Milner:
HMM-based MAP prediction of voiced and unvoiced formant frequencies from noisy MFCC vectors. INTERSPEECH 2006 - [c45]Ross Tailby, Richard Dean, Ben Milner, Dan J. Smith:
Email classification for automated service handling. SAC 2006: 1073-1077 - 2005
- [c44]Alastair Bruce James, Ben Milner:
Soft Decoding of Temporal Derivatives for Robust Distributed Speech Recognition in Packet Loss. ICASSP (1) 2005: 345-348 - [c43]Jonathan Darch
Predicting Formant Frequencies from MFCC Vectors. ICASSP (1) 2005: 941-944 - [c42]Ben Milner, Xu Shao, Jonathan Darch:
Fundamental frequency and voicing prediction from MFCCs for speech reconstruction from unconstrained speech. INTERSPEECH 2005: 321-324 - [c41]Jonathan Darch, Ben P. Milner, Saeed Vaseghi:
Formant frequency prediction from MFCC vectors in noisy environments. INTERSPEECH 2005: 1129-1132 - [c40]Qin Yan, Saeed Vaseghi, Esfandiar Zavarehei, Ben P. Milner:
Formant-tracking linear prediction models for speech processing in noisy environments. INTERSPEECH 2005: 2081-2084 - [c39]Alastair Bruce James, Ben Milner:
Combining packet loss compensation methods for robust distributed speech recognition. INTERSPEECH 2005: 2857-2860 - 2004
- [c38]A. B. James, Ben P. Milner:
Interleaving and estimation of lost vectors for robust speech recognition in burst-like packet loss. EUSIPCO 2004: 1947-1950 - [c37]Xu Shao, Ben Milner:
Pitch prediction from MFCC vectors for speech reconstruction. ICASSP (1) 2004: 97-100 - [c36]Alastair Bruce James, Ben P. Milner:
An analysis of interleavers for robust speech recognition in burst-like packet loss. ICASSP (1) 2004: 853-856 - [c35]Alastair Bruce James, Ben P. Milner, Angel Manuel Gomez:
A comparison of packet loss compensation methods and interleaving for speech recognition in burst-like packet loss. INTERSPEECH 2004: 1545-1548 - [c34]Ben P. Milner, Alastair Bruce James:
An analysis of packet loss models for distributed speech recognition. INTERSPEECH 2004: 1549-1552 - [c33]Xu Shao, Ben P. Milner:
MAP prediction of pitch from MFCC vectors for speech reconstruction. INTERSPEECH 2004: 2425-2428 - 2003
- [c32]Ling Ma, Dan J. Smith, Ben Milner:
Environmental Noise Classification for Context-Aware Applications. DEXA 2003: 360-370 - [c31]Ben Milner, Xu Shao:
Low bit-rate feature vector compression using transform coding and non-uniform bit allocation. ICASSP (2) 2003: 129-132 - [c30]Xu Shao, Ben Milner:
Clean speech reconstruction from noisy mel-frequency cepstral coefficients using a sinusoidal model. ICASSP (1) 2003: 704-707 - [c29]Tanya Lambert, Andrew P. Breen, Barry Eggleton, Stephen J. Cox, Ben P. Milner:
Unit selection in concatenative TTS synthesis systems based on mel filter bank amplitudes and phonetic context. INTERSPEECH 2003: 273-276 - [c28]Xu Shao, Ben P. Milner, Stephen J. Cox:
Integrated pitch and MFCC extraction for speech reconstruction and speech recognition applications. INTERSPEECH 2003: 1725-1728 - [c27]Ling Ma, Dan J. Smith, Ben P. Milner:
Context awareness using environmental noise classification. INTERSPEECH 2003: 2237-2240 - [c26]Ben P. Milner, Alastair Bruce James:
Analysis and compensation of packet loss in distributed speech recognition using interleaving. INTERSPEECH 2003: 2693-2696 - [c25]Ben P. Milner:
Non-linear compression of feature vectors using transform coding and non-uniform bit allocation. INTERSPEECH 2003: 2697-2700 - 2002
- [c24]Ben Milner:
A comparison of front-end configurations for robust speech recognition. ICASSP 2002: 797-800 - [c23]Djemal H. Kolonic, Danilo P. Mandic, Ben Milner, Richard W. Harvey
On the derivation of the optimal payload size for packet based transmission over a binary symmetrical communication channel. ICASSP 2002: 4120-4123 - [c22]Ben Milner, Xu Shao:
Transform-based feature vector compression for distributed speech recognition. INTERSPEECH 2002: 2233-2236 - [c21]Ben Milner, Xu Shao:
Speech reconstruction from mel-frequency cepstral coefficients using a source-filter model. INTERSPEECH 2002: 2421-2424 - 2001
- [c20]Ben Milner:
Robust speech recognition in burst-like packet loss. ICASSP 2001: 261-264 - 2000
- [c19]Ben Milner, Shahram Semnani:
Robust speech recognition over IP networks. ICASSP 2000: 1791-1794 - [c18]Ben Milner:
Robust voice recognition over IP and mobile networks. PIMRC 2000: 1197-1201
1990 – 1999
- 1999
- [c17]Ben Milner, Mark Farrell:
A comparison of techniques for tone compensation in payphone-based speech recognition. EUROSPEECH 1999: 2845-2848 - 1998
- [c16]Daniel Azzopardi, Shahram Semnani, Ben Milner, Richard Wiseman:
Improving accuracy of telephony-based, speaker-independent speech recognition. ICSLP 1998 - [c15]Naomi Harte, Saeed Vaseghi, Ben P. Milner:
Joint recognition and segmentation using phonetically derived features and a hybrid phoneme model. ICSLP 1998 - 1997
- [j1]Saeed Vaseghi, Ben P. Milner:
Noise compensation methods for hidden Markov model speech recognition in adverse environments. IEEE Trans. Speech Audio Process. 5(1): 11-21 (1997) - [c14]Saeed Vaseghi, Naomi Harte, Ben Milner:
Multi-resolution phonetic/segmental features and models for HMM-based speech recognition. ICASSP 1997: 1263-1266 - [c13]Ben P. Milner:
Cepstral-time matrices and LDA for improved connected digit and sub-word recognition accuracy. EUROSPEECH 1997: 405-408 - [c12]Simon Nicholson, Ben P. Milner, Stephen J. Cox:
Evaluating feature set performance using the f-ratio and j-measures. EUROSPEECH 1997: 413-416 - 1996
- [c11]Ben Milner:
Inclusion of temporal information into features for speech recognition. ICSLP 1996: 256-259 - [c10]Saeed Vaseghi, Ben P. Milner:
A comparitive analysis of channel-robust features and channel equalization methods for speech recognition. ICSLP 1996: 877-880 - [c9]Naomi Harte, Saeed Vaseghi, Ben P. Milner:
Dynamic features for segmental speech recognition. ICSLP 1996: 933-936 - 1995
- [c8]Saeed Vaseghi, Ben P. Milner:
Speech recognition in impulsive noise. ICASSP 1995: 437-440 - [c7]Ben P. Milner, Saeed Vaseghi:
An analysis of cepstral-time matrices for noise and channel robust speech recognition. EUROSPEECH 1995: 519-522 - 1994
- [c6]Saeed Vaseghi, Ben P. Milner, Jason J. Humphries:
Noisy speech recognition using cepstral-time features and spectral-time filters. ICASSP (2) 1994: 65-68 - [c5]Ben P. Milner, Saeed Vaseghi:
Speech modelling using cepstral-time feature matrices and hidden Markov models. ICASSP (1) 1994: 601-604 - 1993
- [c4]Saeed Vaseghi, Ben P. Milner:
Noisy speech recognition based on HMMs, Wiener filters and re-evaluation of most likely candidates. ICASSP (2) 1993: 103-106 - [c3]Saeed Vaseghi, P. N. Conner, Ben P. Milner:
Speech modelling using cepstral-time feature matrices. EUROSPEECH 1993: 591-594 - [c2]Saeed Vaseghi, Ben P. Milner:
Noise-adaptive hidden Markov models based on wiener filters. EUROSPEECH 1993: 1023-1026 - 1992
- [c1]Saeed Vaseghi, Ben P. Milner:
Speech recognition in noisy environments. ICSLP 1992: 1487-1490
Coauthor Index
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