E-LOBES

ENVIRONMENT AND LISTENER OPTIMISED BINAURAL ENHANCEMENT OF SPEECH

Publications

2016

  • W. Xue, M. Brookes, and P. A. Naylor. Cross-correlation based under-modelled multichannel blind acoustic system identification with sparsity regularization. In Proc. European Signal Processing Conf., Aug. 2016. doi: 10.1109/EUSIPCO.2016.7760342.
  • W. Xue, M. Brookes, and P. A. Naylor. Under-modelled blind system identification for time delay estimation in reverberant environments. In Proc. Intl Wkshp Acoustic Signal Enhancement, Sept. 2016. doi: 10.1109/IWAENC.2016.7602923.
  • A. Moore, P. P. Parada, and P. Naylor. Speech enhancement for robust automatic speech recognition: Evaluation using a baseline system and instrumental measures. Computer Speech and Language, 46: 574–584, Dec. 2016. doi: 10.1016/j.csl.2016.11.003.
  • L. Lightburn and M. Brookes. A weighted STOI intelligibility metric based on mutual information. In Proc. IEEE Intl Conf. Acoustics, Speech and Signal Processing, Shanghai, Mar. 2016. doi: 10.1109/ICASSP.2016.7472702.
  • N. Dionelis and M. Brookes. Active speech level estimation in noisy signals with quadrature noise suppression. In Proc. European Signal Processing Conf., Aug. 2016. doi: 10.1109/EUSIPCO.2016.7760437.

2017

  • L. Lightburn, E. De Sena, A. Moore, P. A. Naylor, and M. Brookes. Improving the perceptual quality of ideal binary masked speech. In Proc. IEEE Intl Conf. Acoustics, Speech and Signal Processing, New Orleans, Mar. 2017. doi: 10.1109/ICASSP.2017.7952238.
  • A. H. Moore, M. Brookes, and P. A. Naylor. Robust spherical harmonic domain interpolation of spatially sampled array manifolds. In Proc. IEEE Intl Conf. Acoustics, Speech and Signal Processing, New Orleans, Mar. 2017.
  • W. Xue, M. Brookes, and P. A. Naylor. Frequency-domain under-modelled blind system identification based on cross power spectrum and sparsity regularization. In Proc. IEEE Intl Conf. Acoustics, Speech and Signal Processing, New Orleans, Mar. 2017.
  • C. S. J. Doire, M. Brookes, and P. A. Naylor. Robust and efficient Bayesian adaptive psychometric function estimation. J. Acoust. Soc. Amer., 141: 2501–2512, Apr. 2017. doi: 10.1121/1.4979580.
  • M. A. Huckvale and G. Hilkhuysen. Prediction of speech-in-noise intelligibility by hearing-impaired listeners: a re-analysis of Summers et al. (2013) auditory processing data. In Proc Speech in Noise Workshop, Oldenburg, Jan. 2017.
  • C. S. J. Doire, D. M. Brookes, P. A. Naylor, C. M. Hicks, D. Betts, M. A. Dmour, and S. H. Jensen. Single-channel online enhancement of speech corrupted by reverberation and noise. IEEE Trans. Audio, Speech, Language Processing, 25 (3): 572–587, Mar. 2017. doi: 10.1109/TASLP.2016.2641904.
  • A. H. Moore, C. Evers, and P. A. Naylor. Direction of arrival estimation in the spherical harmonic domain using subspace pseudointensity vectors. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 25 (1): 178–192, Jan. 2017. doi: 10.1109/TASLP.2016.2613280.
  • S. Hafezi, A. H. Moore, and P. A. Naylor. Multiple DOA estimation based on estimation consistency and spherical harmonic multiple signal classification. In Proc. European Signal Processing Conf. IEEE, Aug. 2017. doi: 10.23919/EUSIPCO.2017.8081406.
  • M. Huckvale and G. Hilkhuysen. On the predictability of the intelligibility of speech to hearing impaired listeners. In Proc Intl Wkshp on Challenges in Hearing Assistive Technology (CHAT), Aug. 2017.
  • E. D. Sena, M. Brookes, P. Naylor, and T. van Waterschoot. Localization experiments with reporting by head orientation: Statistical framework and case study. Journal of the Audio Engineering Society, 65 (12): 982–996, Dec. 2017. doi: 10.17743/jaes.2017.0038. URL http://hdl.handle.net/10044/1/55770.

2018

  • A. H. Moore, P. A. Naylor, and M. Brookes. Room identification using frequency dependence of spectral decay statistics. In Proc. IEEE Intl Conf. Acoustics, Speech and Signal Processing, Calgary, Canada, Apr. 2018.
  • W. Xue, A. H. Moore, M. Brookes, and P. A. Naylor. Multichannel Kalman filtering for speech enhancement. In Proc. IEEE Intl Conf. Acoustics, Speech and Signal Processing, Calgary, Canada, Apr. 2018.
  • W. Xue, A. H. Moore, M. Brookes, and P. A. Naylor. Modulation-domain multichannel kalman filtering for speech enhancement. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26 (10): 1833–1847, Oct. 2018. doi: 10.1109/taslp.2018.2845665.
  • A. Moore, W. Xue, M. Brookes, and P. Naylor. Estimation of the noise covariance matrix for rotating sensor arrays. In Proc. Asilomar Conf. Signals, Systems and Computers, Oct. 2018.
  • W. Xue, A. H. Moore, M. Brookes, and P. A. Naylor. Modulation-domain parametric multichannel Kalman filtering for speech enhancement. In Proc. European Signal Processing Conf., Rome, Sept. 2018.
  • A. Moore, L. Lightburn, W. Xue, P. Naylor, and M. Brookes. Binaural mask-informed speech enhancement for hearing aids with head tracking. In Proc. Intl Wkshp Acoustic Signal Enhancement, Tokyo, Sept. 2018.

Engagement Activities

  • P. Naylor, “Multichannel Blind Acoustic System Identification with Under-modelling”, Aachen University, Germany, May 2016.
  • A. Moore. Talk. Institute of Acoustics/Audio Eng Soc, 2016.
  • P. Naylor, “Measurement and Exploitation of Reverberation in Speech Signals”, Oticon A/S, Denmark, Jan 2017.
  • P. Naylor, “Measurement and Exploitation of Reverberation in Speech Signals”, Aalborg University, Denmark, Feb 2017.
  • P. Naylor, “Measurement and Exploitation of Reverberation in Speech Signals”, Institute of Sound and Vibration Research, University of Southampton, UK, June 2017.
  • M. Brookes: Invited talk at Winter School on Signal Processing for Hearing Assistive Devices, Denmark 2017
  • P. Naylor, “Multichannel Kalman Filtering for Speech Enhancement Applications”, Cirrus Logic, London, UK, March 2018.
  • P. Naylor, “Multichannel Kalman Filtering for Speech Enhancement Applications”, Toshiba Cambridge Research Laboratory, Cambridge, UK, May 2018.
  • P. Naylor, “Modulation-domain Multichannel Kalman Filtering for Speech Enhancement”, at Symposium on Information Science and Technology (SSIST), Shanghai, China, Jul. 2018.
  • P. Naylor, “Parametric Multichannel Kalman Filtering with Application to Speech Enhancement”, Massachusetts Institute of Technology (MIT), Cambridge MA, USA, Sep. 2018.

The ELOBES project also held an end-of-project workshop ELOBES2019: Optimising Binaural Hearing for Listener and Environment in Ghent Belgium on 12 January 2019.

Software & Technical Products

Secondments

  • PAN: Oticon: 1/2017 to 2/2017
  • PAN: ISVR: 4/2017 to 6/2017
  • AHM: Oticon 2/2018 to 3/2018

Awards and Recognition

  • GH: SpiN 2018 invited speaker