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  • Conference paper
    Doire CSJ, Brookes DM, Naylor PA, De Sena E, van Waterschoot T, Jensen SHJet al., 2016,

    Acoustic Environment Control: Implementation of a Reverberation Enhancement System

    , AES 60th International Conference: DREAMS (Dereverberation and Reverberation of Audio, Music, and Speech)

    Reverberation enhancement systems allow the active control of the acoustic environment. They are subject to instability issues due to acoustic feedback, and are often installed permanently in large halls, sometimes at great cost. In this paper, we explore the possibility of implementing a cost-effective reverberation enhancement system to control the acoustics of typical rooms using a combination of spatial filtering, automatic calibration, adaptive notch filters, howling detection and manual adjustments. The effectiveness of the system is then tested inside a small soundproof booth.
  • Conference paper
    Evers C, Moore A, Naylor P, 2016,

    Towards Informative Path Planning for Acoustic SLAM

    , DAGA 2016

    Acoustic scene mapping is a challenging task as microphonearrays can often localize sound sources only interms of their directions. Spatial diversity can be exploitedconstructively to infer source-sensor range whenusing microphone arrays installed on moving platforms,such as robots. As the absolute location of a moving robotis often unknown in practice, Acoustic SimultaneousLocalization And Mapping (a-SLAM) is required in orderto localize the moving robot’s positions and jointlymap the sound sources. Using a novel a-SLAM approach,this paper investigates the impact of the choice of robotpaths on source mapping accuracy. Simulation results demonstratethat a-SLAM performance can be improved byinformatively planning robot paths.
  • Conference paper
    Hafezi S, Moore AH, Naylor PA, 2016,

    3D ACOUSTIC SOURCE LOCALIZATION IN THE SPHERICAL HARMONIC DOMAIN BASED ON OPTIMIZED GRID SEARCH

    , 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, Pages: 415-419, ISSN: 1520-6149
  • Conference paper
    Javed HA, Moore AH, Naylor PA, 2016,

    SPHERICAL HARMONIC RAKE RECEIVERS FOR DEREVERBERATION

    , 15th International Workshop on Acoustic Signal Enhancement (IWAENC), Publisher: IEEE
  • Conference paper
    Hu M, Sharma D, Doclo S, Brookes M, Naylor PAet al., 2016,

    Blind adaptive SIMO acoustic system identification using a locally optimal step-size

    , 60th AES International Conference on Dereverberation and Reverberation of Audio, Music, and Speech (DREAMS), Publisher: AUDIO ENGINEERING SOC INC
  • Conference paper
    Eaton J, Gaubitch ND, Moore AH, Naylor PAet al., 2015,

    The ACE Challenge - corpus description and performance evaluation

    , WASPAA, Publisher: IEEE

    Knowledge of the Direct-to-Reverberant Ratio (DRR) and Reverberation Time (T60) can be used to better perform speech and audio processing such as dereverberation. Established methods compute these parameters from measured Acoustic Impulse Responses (AIRs). However, in many practical situations the AIR is not available and the parameters must be estimated non-intrusively directly from noisy speech or audio signals. The Acoustic Characterization of Environments (ACE) Challenge is a competition to identify the most promising non-intrusive DRR and T60 estimation methods using real noisy reverberant speech. We describe the ACE corpus comprising multi-channel AIRs, and multi-channel noise including ambient, fan and babble noise recorded in the same environment as the measured AIRs, along with the corresponding DRR and T60 measurements. The evaluation methodology is discussed and comparative results are shown.
  • Conference paper
    Moore AH, Evers C, Naylor PA, Alon DL, Rafaely Bet al., 2015,

    Direction of arrival estimation using pseudo-intensity vectors with direct-path dominance test

    , European Signal Processing Conference, Publisher: IEEE, Pages: 2296-2300, ISSN: 2219-5491

    The accuracy of direction of arrival estimation tends to degrade under reverberant conditions due to the presence of reflected signal components which are correlated with the direct path. The recently proposed direct-path dominance test provides a means of identifying time-frequency regions in which a single signal path is dominant. By analysing only these regions it was shown that the accuracy of the FS-MUSIC algorithm could be significantly improved. However, for real-time implementation a less computationally demanding localisation algorithm would be preferable. In the present contribution we investigate the direct-path dominance test as a preprocessing step to pseudo-intensity vector-based localisation. A novel formulation of the pseudo-intensity vector is proposed which further exploits the direct path dominance test and leads to improved localisation performance.
  • Conference paper
    Doire C, Brookes D, Naylor P, Jensen SHet al., 2015,

    Data-Driven Statistical Modelling of Room Impulse Responses in the Power Domain

    , European Signal Processing Conference (EUSIPCO), Publisher: IEEE

    Having an accurate statistical model of room impulse responses with a minimum number of parameters is of crucial importance in applications such as dereverberation. In this paper, by taking into account the behaviour of the early reflections, we extend the widely-used statistical model proposed by Polack. The squared room impulse response is modelled in each frequency band as the realisation of a stochastic process weighted by the sum of two exponential decays. Room-independent values for the new parameters involved are obtained through analysis of several room impulse response databases, and validation of the model in the likelihood sense is performed.
  • Conference paper
    Hu M, Doclo S, Sharma D, Brookes D, Naylor Pet al., 2015,

    Noise Robust Blind System Identification Algorithms Based On A Rayleigh Quotient Cost Function

    , European Signal Processing Conference (EUSIPCO), Publisher: IEEE, Pages: 2476-2480

    An important prerequisite for acoustic multi-channel equalization for speech dereverberation involves the identification of the acoustic channels between the source and the microphones. Blind System Identification (BSI) algorithms based on cross-relation error minimization are known to mis-converge in the presence of noise. Although algorithms have been proposed in the literature to improve robustness to noise, the estimated room impulse responses are usually constrained to have a flat magnitude spectrum. In this paper, noise robust algorithms based on a Rayleigh quotient cost function are proposed. Unlike the traditional algorithms, the estimated impulse responses are not always forced to have unit norm. Experimental results using simulated room impulse responses and several SNRs show that one of the proposed algorithms outperforms competing algorithms in terms of normalized projection misalignment.
  • Conference paper
    Moore AH, Evers C, Naylor PA, 2015,

    Multichannel equalisation for high-order spherical microphone arrays using beamformed channels

    , 2015 IEEE International Conference on Digital Signal Processing (DSP), Publisher: IEEE, Pages: 1211-1215, ISSN: 1546-1874

    High-order spherical microphone arrays offer many practical benefits including relatively fine spatial resolution in all directions and rotation invariant processing using eigenbeams. Spatial filtering can reduce interference from noise and reverberation but in even moderately reverberant environments the beam pattern fails to suppress reverberation to a level adequate for typical applications. In this paper we investigate the feasibility of applying dereverberation by considering multiple beamformer outputs as channels to be dereverberated. In one realisation we process directly in the spherical harmonic domain where the beampatterns are mutually orthogonal. In a second realisation, which is not limited to spherical microphone arrays, beams are pointed in the direction of dominant reflections. Simulations demonstrate that in both cases reverberation is significantly reduced and, in the best case, clarity index is improved by 15 dB.
  • Conference paper
    Evers C, Moore AH, Naylor PA, Sheaffer J, Rafaely Bet al., 2015,

    Bearing-only acoustic tracking of moving speakers for robot audition

    , 2015 IEEE International Conference on Digital Signal Processing (DSP), Publisher: IEEE, Pages: 1206-1210, ISSN: 1546-1874

    This paper focuses on speaker tracking in robot audition for human-robot interaction. Using only acoustic signals, speaker tracking in enclosed spaces is subject to missing detections and spurious clutter measurements due to speech inactivity, reverberation and interference. Furthermore, many acoustic localization approaches estimate speaker direction, hence providing bearing-only measurements without range information. This paper presents a probability hypothesis density (PHD) tracker that augments the bearing-only speaker directions of arrival with a cloud of range hypotheses at speaker initiation and propagates the random variates through time. Furthermore, due to their formulation PHD filters explicitly model, and hence provide robustness against, clutter and missing detections. The approach is verified using experimental results.
  • Conference paper
    Eaton J, Moore AH, Naylor PA, Skoglund Jet al., 2015,

    Direct-to-reverberant ratio estimation using a null-steered beamformer

    , ICASSP, Publisher: IEEE, Pages: 46-50

    Reverberation affects the quality and intelligibility of distant speech recorded in a room. Direct-to-Reverberant Ratio (DRR) is a useful measure for assessing the acoustic configuration and can be used to inform dereverberation algorithms. We describe a novel DRR estimation algorithm applicable where the signal was recorded with two or more microphones, such as mobile communications devices and laptops. The method uses a null-steered beamformer. In simulations the proposed method yields accurate DRR estimates to within +/- 4 dB across a across a wide variety of room sizes, reverberation times and source-receiver distances. It is also shown that the proposed method is more robust to background noise than a baseline approach. The best estimation accuracy is obtained in the region from -5 to 5 dB which is a relevant range for portable devices.
  • Conference paper
    Hu M, sharma D, Doclo S, Brookes D, naylor Pet al., 2015,

    Speaker change detection and speaker diarization using spatial information

    , IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Conference paper
    Doire CSJ, Brookes M, Naylor PA, Betts D, Hicks CM, Dmour MA, Jensen SHet al., 2015,

    SINGLE-CHANNEL BLIND ESTIMATION OF REVERBERATION PARAMETERS

    , 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Publisher: IEEE, Pages: 31-35, ISSN: 1520-6149
  • Conference paper
    Hu M, Parada PP, Sharma D, Doclo S, van Waterschoot T, Brookes M, Naylor PAet al., 2015,

    SINGLE-CHANNEL SPEAKER DIARIZATION BASED ON SPATIAL FEATURES

    , IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Publisher: IEEE, ISSN: 1931-1168
  • Conference paper
    Hafezi S, Moore AH, Naylor PA, 2015,

    MODELING SOURCE DIRECTIVITY IN ROOM IMPULSE RESPONSE SIMULATION FOR SPHERICAL MICROPHONE ARRAYS

    , 23rd European Signal Processing Conference (EUSIPCO), Publisher: IEEE, Pages: 574-578, ISSN: 2076-1465
  • Conference paper
    Eaton J, Moore AH, Naylor PA, Skoglund Jet al., 2015,

    DIRECT-TO-REVERBERANT RATIO ESTIMATION USING A NULL-STEERED BEAMFORMER

    , 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Publisher: IEEE, Pages: 46-50, ISSN: 1520-6149
  • Conference paper
    Hu M, Sharma D, Doclo S, Brookes M, Naylor PAet al., 2015,

    SPEAKER CHANGE DETECTION AND SPEAKER DIARIZATION USING SPATIAL INFORMATION

    , 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Publisher: IEEE, Pages: 5743-5747, ISSN: 1520-6149
  • Conference paper
    Doire CSJ, Brookes M, Naylor PA, Betts D, Hicks CM, Dmour MA, Jensen SHet al., 2015,

    SINGLE-CHANNEL BLIND ESTIMATION OF REVERBERATION PARAMETERS

    , 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Publisher: IEEE, Pages: 31-35, ISSN: 1520-6149
  • Conference paper
    Evers C, Moore AH, Naylor PA, 2014,

    Multiple source localisation in the spherical harmonic domain

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