Search or filter publications

Filter by type:

Filter by publication type

Filter by year:

to

Results

  • Showing results for:
  • Reset all filters

Search results

  • Conference paper
    Gaubitch ND, Brookes M, Naylor PA, Sharma Det al., 2011,

    Bayesian Adaptive method for estimating Speech Intelligibility in noise

    , Pages: 169-174

    We present the Bayesian Adaptive Speech Intelligibility Estimation (BASIE) method - a tool for rapid estimation of a given speech reception threshold (SRT) and the slope at that threshold of multiple psychometric functions for speech intelligibility in noise. The core of this tool is an adaptive Bayesian procedure, which adjusts the signal-to-noise ratio at each subsequent stimulus such that the expected variance of the threshold and slope estimates are minimised. Simulation results show that the algorithm is able to achieve SRT estimates accurate to within ±1 dB in under 30 iterations. Furthermore, we discuss strategies for using BASIE to evaluate the effects of speech processing algorithms on intelligibility and we give two illustrative examples for different noise reduction methods with supporting listening experiments.

  • Conference paper
    Sharma D, Hilkhuysen G, Gaubitch ND, Brookes M, Naylor PAet al., 2011,

    C-Qual - A validation of PESQ using degradations encountered in forensic and law enforcement audio

    , Pages: 177-181

    Assessment of speech quality of law-enforcement audio recordings is important as degradations introduced by non-ideal recording conditions can reduce the intelligence value of such recordings. Furthermore a model that predicts speech quality could be beneficial for assessing the performance of audio collection and enhancement systems. The Perceptual Evaluation of Speech Quality (PESQ) algorithm (ITU-T P.862) has been validated for degradations common in telecommunications. In this paper we apply PESQ to degradations typically encountered in law-enforcement. Also we present a subjectively labeled database (C-Qual) containing distortions encountered in law enforcement scenarios. Comparing the prediction by PESQ and the observed opinions provided by the listeners shows that PESQ is less suitable for estimating the speech quality in this context.

  • Conference paper
    Loganathan P, Habets EAP, Naylor PA, 2011,

    A PROPORTIONATE ADAPTIVE ALGORITHM WITH VARIABLE PARTITIONED BLOCK LENGTH FOR ACOUSTIC ECHO CANCELLATION

    , IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Publisher: IEEE, Pages: 73-76, ISSN: 1520-6149
  • Journal article
    Annibale P, Antonacci F, Bestagini P, Brutti A, Canclini A, Cristoforetti L, Habets E, Kellermann W, Kowalczyk K, Lombard A, Mabande E, Markovic D, Naylor P, Omologo M, Rabenstein R, Sarti A, Svaizer P, Thomas Met al., 2011,

    The SCENIC Project: Environment-aware Sound Sensing and Rendering

    , PROCEEDINGS OF THE 2ND EUROPEAN FUTURE TECHNOLOGIES CONFERENCE AND EXHIBITION 2011 (FET 11), Vol: 7, Pages: 150-152, ISSN: 1877-0509
  • Journal article
    Gudnason J, Thomas MRP, Ellis DPW, Naylor PAet al., 2011,

    Data-Driven Voice Source Waveform Analysis and Synthesis

    , Speech Communication, Vol: to appear
  • Conference paper
    Jarrett DP, Habets EAP, Thomas MRP, Gaubitch ND, Naylor PAet al., 2011,

    Dereverberation performance of rigid and open spherical microphone arrays: theory & simulation

  • Conference paper
    Thomas MRP, Gaubitch N, Naylor PA, 2011,

    Application of Channel Shortening to Acoustic Channel Equalization in the Presence of Noise and Estimation Error

  • Conference paper
    Sharma D, Naylor PA, Gaubitch ND, Miet al., 2011,

    Short-Time Objective Assessment of Speech Quality

  • Journal article
    Thomas MRP, Gudnason J, Naylor PA, 2011,

    Estimation of Glottal Closing and Opening Instants in Voiced Speech using the YAGA Algorithm

    , IEEE Trans. Audio Speech Language Proc., Vol: to appear
  • Conference paper
    Canclini A, Antonacci F, Thomas MRP, Filos J, Sarti A, Naylor PA, Tubaro Set al., 2011,

    Exact Localization of Acoustic Reflectors from Quadratic Constraints

  • Conference paper
    Filos J, Canclini A, Thomas MRP, Antonacci F, Sarti A, Naylor PAet al., 2011,

    Robust Inference of Room Geometry From Acoustic Measurements Using the Hough Transform

  • Conference paper
    Gaubitch ND, Brookes M, Naylor PA, Sharma Det al., 2011,

    Single-Microphone Blind Channel Identification in Speech Using Spectrum Classification

  • Conference paper
    Habets EAP, Benesty J, Naylor PA, 2011,

    A Cross-Relation Based Affine Projection Algorithm for Blind SIMO System Identification

  • Conference paper
    Loganathan P, Habets EAP, Naylor PA, 2010,

    A Partitioned Block Proportionate Adaptive Algorithm for Acoustic Echo Cancellation

  • Conference paper
    Rashobh R, Khong AWH, Naylor PA, 2010,

    Adaptive blind system identification for speech dereverberation using a priori estimates

  • Journal article
    Nakatani T, Kellermann W, Naylor P, Miyoshi M, Juang BHFet al., 2010,

    Introduction to the Special Issue on Processing Reverberant Speech: Methodologies and Applications

    , IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, Vol: 18, Pages: 1673-1675, ISSN: 1558-7916
  • Conference paper
    Tsakiris MC, Lopes CG, Naylor PA, 2010,

    An Alternative Criterion for Regularization in Recursive Least-Squares Problems

    , York, UK
  • Conference paper
    Jarrett DP, Habets EAP, Naylor PA, 2010,

    Source Localization in the Spherical Harmonic Domain Using a Pseudointensity Vector

  • Conference paper
    Jarrett DP, Habets EAP, Naylor PA, 2010,

    3D Source Localization in the Spherical Harmonic Domain Using a Pseudointensity Vector

    , Aalborg, Denmark
  • Book
    Naylor PA, Gaubitch ND, 2010,

    Speech Dereverberation

    , Publisher: Springer, ISBN: 978-1-84996-056-4

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://www.imperial.ac.uk:80/respub/WEB-INF/jsp/search-t4-html.jsp Request URI: /respub/WEB-INF/jsp/search-t4-html.jsp Query String: id=1226&limit=20&page=11&respub-action=search.html Current Millis: 1679967459776 Current Time: Tue Mar 28 02:37:39 BST 2023