Abstract
In automotive hands free communication, speech is mostly corrupted by engine and other background noises. Engine noise can be removed using frequency domain adaptive filtering as proposed by Benesty [1, 2]. Subband speech processing can be used to further enhance the speech signal by suppressing residual and background noise, as proposed by Diethorn [3]. For both these algorithms, significant computational savings can be obtained by using faster time-to-frequency transformation techniques and reducing order of calculations in the frequency domain. Benesty and Diethorn [1, 3] have formulated the noise canceller and noise suppressor algorithms using Fast Fourier Transform (FFT). In this paper, we reformulate the problem using Fast Hartley Transform (FHT) for both the adaptive noise canceller and subband noise suppressor algorithms, which reduces the computational complexity to half that of FFT based implementation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
