B. Milner

发表

Predicting fundamental frequency from mel-frequency cepstral coefficients to enable speech reconstruction.

Xu Shao, B. Milner, 2005, The Journal of the Acoustical Society of America.

Speech modelling using cepstral-time feature matrices in hidden Markov models

S. Vaseghi, B. Milner, P. Conner, 1993 .

T Generating Intelligible Audio Speech from Visual Speech

B. Milner, T. L. Cornu, 2017 .

Robust speech recognition in burst-like packet loss

B. Milner, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Generating Intelligible Audio Speech From Visual Speech

Ben P. Milner, Thomas Le Cornu, B. Milner, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Reconstruction-based speech enhancement from robust acoustic features

Ben P. Milner, Philip Harding, B. Milner, 2015, Speech Commun..

Speech recognition in adverse environments

Benjamin Peter Milner, B. Milner, Benjamin Peter Milner, 1994 .

Speech recognition in noisy environments

Saeed Vaseghi, Ben P. Milner, S. Vaseghi, 1992, ICSLP.

Estimating acoustic speech features in low signal-to-noise ratios using a statistical framework

Ben P. Milner, Philip Harding, B. Milner, 2017, Comput. Speech Lang..

Reconstructing intelligible audio speech from visual speech features

Ben P. Milner, Thomas Le Cornu, B. Milner, 2015, INTERSPEECH.

On the use of Machine Learning Methods for Speech and Voicing Classification

Ben P. Milner, Philip Harding, B. Milner, 2012, INTERSPEECH.

Analysis and prediction of acoustic speech features from mel-frequency cepstral coefficients in distributed speech recognition architectures.

Saeed Vaseghi, Jonathan Darch, Ben Milner, 2008, The Journal of the Acoustical Society of America.

Context awareness using environmental noise classification

Ben P. Milner, Ling Ma, Dan J. Smith, 2003, INTERSPEECH.

Environmental Noise Classification for Context-Aware Applications

Ben P. Milner, Ling Ma, Dan J. Smith, 2003, DEXA.

Noise compensation methods for hidden Markov model speech recognition in adverse environments

Saeed Vaseghi, Ben P. Milner, S. Vaseghi, 1997, IEEE Trans. Speech Audio Process..

A comparitive analysis of channel-robust features and channel equalization methods for speech recognition

Saeed Vaseghi, Ben P. Milner, S. Vaseghi, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Speech recognition in impulsive noise

Saeed Vaseghi, Ben P. Milner, S. Vaseghi, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Inclusion of temporal information into features for speech recognition

Ben P. Milner, B. Milner, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Robust Acoustic Speech Feature Prediction From Noisy Mel-Frequency Cepstral Coefficients

Ben P. Milner, Jonathan Darch, B. Milner, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

A comparison of machine learning methods for detecting right whales from autonomous surface vehicles

Jason Lines, Ben Milner, Robert Lee, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Detecting right whales from autonomous surface vehicles using RNNs and CNNs

Jason Lines, Ben Milner, Robert Lee, 2019 .

Reducing processing requirements for right whale detection from autonomous surface vehicles

Ben Milner, William Vickers, B. Milner, 2019 .

Joint recognition and segmentation using phonetically derived features and a hybrid phoneme model

Saeed Vaseghi, Ben P. Milner, Naomi Harte, 1998, ICSLP.

Clean speech reconstruction from MFCC vectors and fundamental frequency using an integrated front-end

Xu Shao, Ben P. Milner, Xu Shao, 2006, Speech Commun..

Speaker separation using visually-derived binary masks

Faheem Khan, Ben P. Milner, B. Milner, 2013, AVSP.

Effective visually-derived Wiener filtering for audio-visual speech processing

Ben P. Milner, Ibrahim Almajai, B. Milner, 2009, AVSP.

Maximising audio-visual speech correlation

Ben P. Milner, Ibrahim Almajai, B. Milner, 2007, AVSP.

The Effect of Real-Time Constraints on Automatic Speech Animation

Ben P. Milner, Sarah Taylor, Danny Websdale, 2018, INTERSPEECH.

A comparison of techniques for tone compensation in payphone-based speech recognition

Ben P. Milner, Mark Farrell, B. Milner, 1999, EUROSPEECH.

Visually-Derived Wiener Filters for Speech Enhancement

S. Vaseghi, B. Milner, Jonathan Darch, 2007, IEEE International Conference on Acoustics, Speech, and Signal Processing.

Prediction of Fundamental Frequency and Voicing From Mel-Frequency Cepstral Coefficients for Unconstrained Speech Reconstruction

Xu Shao, Ben P. Milner, Xu Shao, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Audio-to-Visual Speech Conversion Using Deep Neural Networks

Ben P. Milner, Iain A. Matthews, Akihiro Kato, 2016, INTERSPEECH.

Robust North Atlantic right whale detection using deep learning models for denoising.

B. Milner, D. Risch, William D. Vickers, 2021, The Journal of the Acoustical Society of America.

Acoustic environment classification

Ben P. Milner, Ling Ma, Dan J. Smith, 2006, TSLP.

Non-linear compression of feature vectors using transform coding and non-uniform bit allocation

Ben P. Milner, B. Milner, 2003, INTERSPEECH.

Transform-based feature vector compression for distributed speech recognition

Xu Shao, Ben P. Milner, Xu Shao, 2002, INTERSPEECH.

Towards improving the robustness of distributed speech recognition in packet loss

Ben P. Milner, Alastair Bruce James, B. Milner, 2006, Speech Commun..

Predicting formant frequencies from MFCC vectors [speech recognition applications]

Qin Yan, Xu Shao, Saeed Vaseghi, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Unit selection in concatenative TTS synthesis systems based on mel filter bank amplitudes and phonetic context

Stephen J. Cox, Ben P. Milner, Tanya Lambert, 2003, INTERSPEECH.

Using Visual Speech Information in Masking Methods for Audio Speaker Separation

Ben P. Milner, Faheem Ullah Khan, Thomas Le Cornu, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Using audio-visual features for robust voice activity detection in clean and noisy speech

Ben P. Milner, Ibrahim Almajai, B. Milner, 2008, 2008 16th European Signal Processing Conference.

Visually Derived Wiener Filters for Speech Enhancement

Ben P. Milner, Ibrahim Almajai, B. Milner, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Speaker separation using visual speech features and single-channel audio

Faheem Khan, Ben P. Milner, B. Milner, 2013, INTERSPEECH.

Enhancing audio speech using visual speech features

Ben P. Milner, Ibrahim Almajai, B. Milner, 2009, INTERSPEECH.

Analysis of correlation between audio and visual speech features for clean audio feature prediction in noise

Ben P. Milner, Ibrahim Almajai, Jonathan Darch, 2006, INTERSPEECH.

Synthesising visual speech using dynamic visemes and deep learning architectures

Ausdang Thangthai, Ben P. Milner, Sarah Taylor, 2019, Comput. Speech Lang..

An analysis of interleavers for robust speech recognition in burst-like packet loss

Ben P. Milner, Alastair Bruce James, B. Milner, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Interleaving and estimation of lost vectors for robust speech recognition in burst-like packet loss

Ben P. Milner, B. Milner, 2001, 2004 12th European Signal Processing Conference.

Robust speech recognition over IP networks

Ben P. Milner, Shahram Semnani, B. Milner, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).