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This paper presents a novel algorithm for robust multichannel dereverberation in the presence of system identification errors with the specific aim of avoiding colouration of the equalized signal. Our proposed algorithm is based upon the technique of channel shortening, which targets only the late taps of the room impulse response. Within the framework of(More)
A novel approach is proposed for robust multichannel dereverberation in the presence of system identification error (SIEs), based on channel shortening. A mathematical link is derived between the well known multiple-input/output inverse theorem (MINT) algorithm and channel shortening. The relaxed multichannel least squares (RMCLS) algorithm is then proposed(More)
Reverberation time is an important parameter for characterizing acoustic environments. It is useful in many applications including acoustic scene analysis, robust automatic speech recognition and dereverberation. Given knowledge of the acoustic impulse response, reverberation time can be measured using Schroeder's backward integration method. Since it is(More)
It is well known that blind system identification (BSI) algorithms misconverge in the presence of noise and that applications relying on such channel estimates must be designed to be robust to these blind system identification errors (BSIEs). However, there is currently no generalized model of BSIEs in the literature and instead, white Gaussian noise (WGN)(More)
BACKGROUND The Proseal laryngeal mask airway (PLMA) is a relatively new supraglottic airway device with a drain tube to minimize the risk of gastric insufflation and aspiration. We compared introducer tool (IT) and gum elastic bougie (GEB)-guided techniques for insertion of the Proseal LMA in children. METHODS One hundred and twenty-four children aged(More)
Reverberation is a process that distorts a wanted signal and impairs perceived speech quality. In the context of multichannel dereverberation, channel-based methods and beamforming are two common approaches. Channel-based methods such as the multiple input/output inverse theorem (MINT) can provide perfect dereverberation provided the exact acoustic impulse(More)
Reverberation time, or T<sub>60</sub>, is a key parameter used for characterizing acoustic spaces. Blind T<sub>60</sub> estimation is useful for many applications including speech intelligibility estimation, acoustic scene analysis and dereverberation. In our previous work, a single-channel blind T<sub>60</sub> estimator was proposed employing spectral(More)
Signals captured by microphone arrays provide spatial diversity that can be exploited by multichannel processing algorithms to suppress noise and reverberation. Beamforming is a class of approaches that treats the problem with respect to the spatial location of wanted and competing sources, leveraging properties of propagation of waves in free space. A(More)
Multichannel equalization algorithms which are robust to system identification errors (SIEs) are important for practical speech dereverberation. We present an equalizer employing variable relaxation within the framework of the relaxed multichannel least squares (RMCLS) algorithm in frequency subbands. We show that varying the relaxation of constraints in(More)
Multichannel equalization of acoustic impulse responses (AIRs) is an important approach for dereverberation. Since AIRs are inevitably estimated with system identification error (SIE), it is necessary to develop equalization designs that are robust to such SIE, in order for dereverberation processing to be beneficial. We present here a novel subband(More)