Kepstrum Analysis and Real-Time Application to Noise Cancellation
نویسنده
چکیده
This paper provides analysis of kepstrum (known elsewhere as complex cepstrum) and its real-time application to noise cancellation. The method uses kepstrum estimation for identification of the ratio of acoustic path transfer functions between two microphones and efficient processing technique for real-time processing. It is applied to the front-end of speech enhancement method, the Griffiths and Jim beamformer. The experiments are processed in real-time by software implementation in LabVIEW. It will be shown that the front-end kepstrum approach effectively cancels echoes and hence reverberation in a noisy environment. For a real-time application, the computational complexity on kepstrum processing has also been investigated and compared with NLMS algorithm of adaptive filter. Key-Words: Kepstrum, Cepstrum, Complex Cepstrum, System Identification, NLMS, Beamformer
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A real-time kepstrum approach to speech enhancement and noise cancellation
This paper introduces the kepstrum method of identification of acoustic transfer functions and its realtime application in techniques such as speech enhancement and noise cancellation. By using kepstrum (known elsewhere as complex cepstrum) analysis, we will show that the kepstrum method is reliable and applicable to real-time processing by providing an efficient kepstrum processing technique w...
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