New adaptive non-linear FIR filters for sub-band processing in speech enhancement systems

Citation

Hussain A, Campbell DR & Moir TJ (1996) New adaptive non-linear FIR filters for sub-band processing in speech enhancement systems. In: IEE Sixteenth Saraga Colloquium on Digital and Analogue Filters and Filtering Systems. IEE Colloquium, 238. IEE Sixteenth Saraga Colloquium on Digital and Analogue Filters and Filtering Systems, London, UK, 09.12.1996-09.12.1996. The Institution of Engineering and Technology, pp. 6/1-6/6. http://digital-library.theiet.org/content/conferences/10.1049/ic_19961267

Abstract
A new class of general ANN based adaptive nonlinear FIR type filters was presented. Simulated data were used to show that the use of these nonlinear filters within a multi-band noise cancellation system can significantly enhance its performance compared to the conventional linear filtering based multi-band and full-band noise cancellers. The superior performance of the MBNLFIR system is due to the use of nonlinear ANN based processing within the subbands, which enables a more efficient modeling of the nonlinear noise transfer function. Furthermore, the complexity of the MBNLFIR system is also comparable to that of the MBLFIR system, and it can be further reduced by employing for example, a self-structuring LMS type algorithm. Currently, experiments are ongoing using real anechoic speech signals.