Speech recognition in noisy environments. - Saeed Vaseghi; Ben P. Milner (ICSLP, 1992)

Noisy speech recognition based on HMMs, Wiener filters and re-evaluation of most likely candidates. - Saeed Vaseghi; Ben P. Milner (ICASSP (2), 1993)

Speech modelling using cepstral-time feature matrices. - Saeed Vaseghi; P. N. Conner; Ben P. Milner (EUROSPEECH, 1993)

Noise-adaptive hidden Markov models based on wiener filters. - Saeed Vaseghi; Ben P. Milner (EUROSPEECH, 1993)

Speech modelling using cepstral-time feature matrices and hidden Markov models. - Ben P. Milner; Saeed Vaseghi (ICASSP (1), 1994)

Noisy speech recognition using cepstral-time features and spectral-time filters. - Saeed Vaseghi; Ben P. Milner; Jason J. Humphries (ICASSP (2), 1994)

Speech recognition in impulsive noise. - Saeed Vaseghi; Ben P. Milner (ICASSP, 1995)

An analysis of cepstral-time matrices for noise and channel robust speech recognition. - Ben P. Milner; Saeed Vaseghi (EUROSPEECH, 1995)

Dynamic features for segmental speech recognition. - Naomi Harte; Saeed Vaseghi; Ben P. Milner (ICSLP, 1996)

Inclusion of temporal information into features for speech recognition. - Ben Milner (ICSLP, 1996)

A comparitive analysis of channel-robust features and channel equalization methods for speech recognition. - Saeed Vaseghi; Ben P. Milner (ICSLP, 1996)

Multi-resolution phonetic/segmental features and models for HMM-based speech recognition. - Saeed Vaseghi; Naomi Harte; Ben Milner (ICASSP, 1997)

Cepstral-time matrices and LDA for improved connected digit and sub-word recognition accuracy. - Ben P. Milner (EUROSPEECH, 1997)

Evaluating feature set performance using the f-ratio and j-measures. - Simon Nicholson; Ben P. Milner; Stephen J. Cox (EUROSPEECH, 1997)

Noise compensation methods for hidden Markov model speech recognition in adverse environments. - Saeed Vaseghi; Ben P. Milner (IEEE Trans. Speech Audio Process., 1997)

Improving accuracy of telephony-based, speaker-independent speech recognition. - Daniel Azzopardi; Shahram Semnani; Ben Milner; Richard Wiseman (ICSLP, 1998)

Joint recognition and segmentation using phonetically derived features and a hybrid phoneme model. - Naomi Harte; Saeed Vaseghi; Ben P. Milner (ICSLP, 1998)

A comparison of techniques for tone compensation in payphone-based speech recognition. - Ben Milner; Mark Farrell (EUROSPEECH, 1999)

Robust speech recognition over IP networks. - Ben Milner; Shahram Semnani (ICASSP, 2000)

Robust voice recognition over IP and mobile networks. - Ben Milner (PIMRC, 2000)

Robust speech recognition in burst-like packet loss. - Ben Milner (ICASSP, 2001)

On the derivation of the optimal payload size for packet based transmission over a binary symmetrical communication channel. - Djemal H. Kolonic; Danilo P. Mandic; Ben Milner; Richard W. Harvey (ICASSP, 2002)

A comparison of front-end configurations for robust speech recognition. - Ben Milner (ICASSP, 2002)

Speech reconstruction from mel-frequency cepstral coefficients using a source-filter model. - Ben Milner; Xu Shao (INTERSPEECH, 2002)

Transform-based feature vector compression for distributed speech recognition. - Ben Milner; Xu Shao (INTERSPEECH, 2002)

Environmental Noise Classification for Context-Aware Applications. - Ling Ma 002; Dan J. Smith; Ben Milner (DEXA, 2003)

Low bit-rate feature vector compression using transform coding and non-uniform bit allocation. - Ben Milner; Xu Shao (ICASSP (2), 2003)

Clean speech reconstruction from noisy mel-frequency cepstral coefficients using a sinusoidal model. - Xu Shao; Ben Milner (ICASSP (1), 2003)

Unit selection in concatenative TTS synthesis systems based on mel filter bank amplitudes and phonetic context. - Tanya Lambert; Andrew P. Breen; Barry Eggleton; Stephen J. Cox; Ben P. Milner (INTERSPEECH, 2003)

Context awareness using environmental noise classification. - Ling Ma 002; Dan J. Smith; Ben P. Milner (INTERSPEECH, 2003)

Non-linear compression of feature vectors using transform coding and non-uniform bit allocation. - Ben P. Milner (INTERSPEECH, 2003)

Analysis and compensation of packet loss in distributed speech recognition using interleaving. - Ben P. Milner; Alastair Bruce James (INTERSPEECH, 2003)

Integrated pitch and MFCC extraction for speech reconstruction and speech recognition applications. - Xu Shao; Ben P. Milner; Stephen J. Cox (INTERSPEECH, 2003)

Interleaving and estimation of lost vectors for robust speech recognition in burst-like packet loss. - A. B. James; Ben P. Milner (EUSIPCO, 2004)

An analysis of interleavers for robust speech recognition in burst-like packet loss. - Alastair Bruce James; Ben P. Milner (ICASSP (1), 2004)

Pitch prediction from MFCC vectors for speech reconstruction. - Xu Shao; Ben Milner (ICASSP (1), 2004)

A comparison of packet loss compensation methods and interleaving for speech recognition in burst-like packet loss. - Alastair Bruce James; Ben P. Milner; Angel Manuel Gomez (INTERSPEECH, 2004)

An analysis of packet loss models for distributed speech recognition. - Ben P. Milner; Alastair Bruce James (INTERSPEECH, 2004)

MAP prediction of pitch from MFCC vectors for speech reconstruction. - Xu Shao; Ben P. Milner (INTERSPEECH, 2004)

Predicting Formant Frequencies from MFCC Vectors. - Jonathan Darch; Ben Milner; Xu Shao; Saeed Vaseghi; Qin Yan (ICASSP (1), 2005)

Soft Decoding of Temporal Derivatives for Robust Distributed Speech Recognition in Packet Loss. - Alastair Bruce James; Ben Milner (ICASSP (1), 2005)

Formant frequency prediction from MFCC vectors in noisy environments. - Jonathan Darch; Ben P. Milner; Saeed Vaseghi (INTERSPEECH, 2005)

Combining packet loss compensation methods for robust distributed speech recognition. - Alastair Bruce James; Ben Milner (INTERSPEECH, 2005)

Fundamental frequency and voicing prediction from MFCCs for speech reconstruction from unconstrained speech. - Ben Milner; Xu Shao; Jonathan Darch (INTERSPEECH, 2005)

Formant-tracking linear prediction models for speech processing in noisy environments. - Qin Yan; Saeed Vaseghi; Esfandiar Zavarehei; Ben P. Milner (INTERSPEECH, 2005)

Kalman filter with linear predictor and harmonic noise models for noisy speech enhancement. - Qin Yan; Saeed Vaseghi; Esfandiar Zavarehei; Ben P. Milner (EUSIPCO, 2006)

Noise Reduction for Driver-To-Pit-Crew Communication in Motor Racing. - Mark Hadley; Ben Milner; Richard W. Harvey (ICASSP (1), 2006)

Analysis of correlation between audio and visual speech features for clean audio feature prediction in noise. - Ibrahim Almajai; Ben Milner; Jonathan Darch (INTERSPEECH, 2006)

HMM-based MAP prediction of voiced and unvoiced formant frequencies from noisy MFCC vectors. - Jonathan Darch; Ben Milner (INTERSPEECH, 2006)

Email classification for automated service handling. - Ross Tailby; Richard Dean; Ben Milner; Dan J. Smith (SAC, 2006)

MAP prediction of formant frequencies and voicing class from MFCC vectors in noise. - Jonathan Darch; Ben P. Milner; Saeed Vaseghi (Speech Commun., 2006)

Towards improving the robustness of distributed speech recognition in packet loss. - Alastair Bruce James; Ben Milner (Speech Commun., 2006)

Clean speech reconstruction from MFCC vectors and fundamental frequency using an integrated front-end. - Ben Milner; Xu Shao (Speech Commun., 2006)

Special Issue on Robustness Issues for Conversational Interaction. - Ben Milner; Christian Wellekens; Børge Lindberg (Speech Commun., 2006)

Robust speech recognition over mobile and IP networks in burst-like packet loss. - Ben Milner; Alastair Bruce James (IEEE Trans. Speech Audio Process., 2006)

Acoustic environment classification. - Ling Ma 002; Ben Milner; Dan J. Smith (ACM Trans. Speech Lang. Process., 2006)

Maximising audio-visual speech correlation. - Ibrahim Almajai; Ben Milner (AVSP, 2007)

Noisy audio speech enhancement using Wiener filters derived from visual speech. - Ben Milner; Ibrahim Almajai (AVSP, 2007)

Restoration of noisy and band limited archived speech records with linear predictor and harmonic noise models. - Qin Yan; Saeed Vaseghi; Esfandiar Zavarehei; Ben P. Milner (EUSIPCO, 2007)

Visually-Derived Wiener Filters for Speech Enhancement. - Ibrahim Almajai; Ben Milner; Jonathan Darch; Saeed Vaseghi (ICASSP (4), 2007)

An Investigation into the Correlation and Prediction of Acoustic Speech Features from MFCC Vectors. - Jonathan Darch; Ben Milner; Ibrahim Almajai; Saeed Vaseghi (ICASSP (4), 2007)

A comparison of estimated and MAP-predicted formants and fundamental frequencies with a speech reconstruction application. - Jonathan Darch; Ben Milner (INTERSPEECH, 2007)

Formant tracking linear prediction model using HMMs and Kalman filters for noisy speech processing. - Qin Yan; Saeed Vaseghi; Esfandiar Zavarehei; Ben P. Milner; Jonathan Darch; Paul R. White; Ioannis Andrianakis (Comput. Speech Lang., 2007)

Prediction of Fundamental Frequency and Voicing From Mel-Frequency Cepstral Coefficients for Unconstrained Speech Reconstruction. - Ben Milner; Xu Shao (IEEE Trans. Speech Audio Process., 2007)

Using audio-visual features for robust voice activity detection in clean and noisy speech. - Ibrahim Almajai; Ben P. Milner (EUSIPCO, 2008)

Comparing noise compensation methods for robust prediction of acoustic speech features from MFCC vectors in noise. - Ben P. Milner; Jonathan Darch; Ibrahim Almajai; Saeed Vaseghi (EUSIPCO, 2008)

Applying noise compensation methods to robustly predict acoustic speech features from MFCC vectors in noise. - Ben Milner; Jonathan Darch; Saeed Vaseghi (ICASSP, 2008)

Kalman tracking of linear predictor and harmonic noise models for noisy speech enhancement. - Qin Yan; Saeed Vaseghi; Esfandiar Zavarehei; Ben Milner; Jonathan Darch; Paul R. White; Ioannis Andrianakis (Comput. Speech Lang., 2008)

Effective visually-derived Wiener filtering for audio-visual speech processing. - Ibrahim Almajai; Ben Milner (AVSP, 2009)

Enhancing audio speech using visual speech features. - Ibrahim Almajai; Ben Milner (INTERSPEECH, 2009)

Reconstructing clean speech from noisy MFCC vectors. - Ben Milner; Jonathan Darch; Ibrahim Almajai (INTERSPEECH, 2009)

Pitch extraction using modified higher order moments. - Alipah Pawi; Saeed Vaseghi; Ben Milner (ICASSP, 2010)

Speech Enhancement by Reconstruction from Cleaned Acoustic Features. - Philip Harding; Ben Milner (INTERSPEECH, 2011)

Maximum a posteriori Estimation of Noise from Non-Acoustic Reference Signals in Very Low Signal-to-Noise Ratio Environments. - Ben Milner (INTERSPEECH, 2011)

Fundamental Frequency Estimation Using Modified Higher Order Moments and Multiple Windows. - Alipah Pawi; Saeed Vaseghi; Ben Milner; Seyed Ghorshi (INTERSPEECH, 2011)

Visually Derived Wiener Filters for Speech Enhancement. - Ibrahim Almajai; Ben Milner (IEEE Trans. Speech Audio Process., 2011)

Robust Acoustic Speech Feature Prediction From Noisy Mel-Frequency Cepstral Coefficients. - Ben Milner; Jonathan Darch (IEEE Trans. Speech Audio Process., 2011)

Enhancing Speech by Reconstruction from Robust Acoustic Features. - Philip Harding; Ben Milner (INTERSPEECH, 2012)

On the use of Machine Learning Methods for Speech and Voicing Classification. - Philip Harding; Ben Milner (INTERSPEECH, 2012)

Speaker separation using visually-derived binary masks. - Faheem Khan; Ben Milner (AVSP, 2013)

Speaker separation using visual speech features and single-channel audio. - Faheem Khan; Ben Milner (INTERSPEECH, 2013)

Modelling and estimation of the fundamental frequency of speech using a hidden Markov model. - John H. Taylor; Ben Milner (INTERSPEECH, 2013)

Enhancing speech at very low signal-to-noise ratios using non-acoustic reference signals. - Ben Milner (Speech Commun., 2013)

Using hidden Markov models for speech enhancement. - Akihiro Kato; Ben Milner (INTERSPEECH, 2014)

Voicing classification of visual speech using convolutional neural networks. - Thomas Le Cornu; Ben Milner (AVSP, 2015)

Analysing the importance of different visual feature coefficients. - Danny Websdale; Ben Milner (AVSP, 2015)

Reconstructing intelligible audio speech from visual speech features. - Thomas Le Cornu; Ben Milner (INTERSPEECH, 2015)

Using audio and visual information for single channel speaker separation. - Faheem Khan; Ben Milner (INTERSPEECH, 2015)

Objective measures for predicting the intelligibility of spectrally smoothed speech with artificial excitation. - Danny Websdale; Thomas Le Cornu; Ben Milner (INTERSPEECH, 2015)

Reconstruction-based speech enhancement from robust acoustic features. - Philip Harding; Ben Milner (Speech Commun., 2015)

HMM-Based Speech Enhancement Using Sub-Word Models and Noise Adaptation. - Akihiro Kato; Ben P. Milner (INTERSPEECH, 2016)

Audio-to-Visual Speech Conversion Using Deep Neural Networks. - Sarah Taylor; Akihiro Kato; Iain A. Matthews; Ben P. Milner (INTERSPEECH, 2016)

Visual Speech Synthesis Using Dynamic Visemes, Contextual Features and DNNs. - Ausdang Thangthai; Ben Milner; Sarah Taylor (INTERSPEECH, 2016)

Using visual speech information and perceptually motivated loss functions for binary mask estimation. - Danny Websdale; Ben Milner (AVSP, 2017)

A Comparison of Perceptually Motivated Loss Functions for Binary Mask Estimation in Speech Separation. - Danny Websdale; Ben Milner (INTERSPEECH, 2017)

Estimating acoustic speech features in low signal-to-noise ratios using a statistical framework. - Philip Harding; Ben Milner (Comput. Speech Lang., 2017)

Generating Intelligible Audio Speech From Visual Speech. - Thomas Le Cornu; Ben Milner (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

The Effect of Real-Time Constraints on Automatic Speech Animation. - Danny Websdale; Sarah Taylor; Ben Milner (INTERSPEECH, 2018)

Using Visual Speech Information in Masking Methods for Audio Speaker Separation. - Faheem Khan; Ben P. Milner; Thomas Le Cornu (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Synthesising visual speech using dynamic visemes and deep learning architectures. - Ausdang Thangthai; Ben Milner; Sarah Taylor (Comput. Speech Lang., 2019)

Improving The Robustness Of Right Whale Detection In Noisy Conditions Using Denoising Autoencoders And Augmented Training. - William Vickers; Ben Milner; Robert Lee (ICASSP, 2021)

Speaker-Independent Speech Animation Using Perceptual Loss Functions and Synthetic Data. - Danny Websdale; Sarah Taylor; Ben Milner (IEEE Trans. Multim., 2022)

Investigating Imaginary Mask Estimation in Complex Masking for Speech Enhancement. - Georgiana-Elena Sfeclis; Ben Milner; Danny Websdale (EUSIPCO, 2023)

The UEA Digital Humans entry to the GENEA Challenge 2023. - Jonathan Windle; Iain A. Matthews; Ben Milner; Sarah Taylor (ICMI, 2023)