Tom J. Moir

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Keywords: Kepstrum Complex cepstrum Speech enhancement Adaptive noise cancellation Beamforming System identification Normalized least-mean square (NLMS) Voice activity detector (VAD) a b s t r a c t This paper introduces the kepstrum method of identification of acoustic transfer functions and its real-time application in techniques such as speech(More)
The objective of this paper is to provide improved real-time noise canceling performance by using kepstrum analysis. The method is applied to typically existing two-microphone approaches using modified adaptive noise canceling and speech beamforming methods. It will be shown that the kepstrum approach gives an improved effect for optimally enhancing a(More)
Institute of Mathematics of the Academy of Sciences of the Czech Republic provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use. This paper has been digitized, optimized for electronic delivery and stamped with digital signature within the project DML-CZ: The Czech Digital(More)
The well known least mean squares (LMS) algorithm is studied as a control system. When applied in a noise canceller a block diagram approach is used to show that the step size has two upper limits. One is the conventional limit beyond which instability results. The second limit shows that if the step size is chosen to be too large then feed-through terms(More)