Multi-sensor sub-band adaptive noise cancellation for speech enhancement in an automobile environment

Citation

Hussain A, Campbell DR & Moir TJ (1997) Multi-sensor sub-band adaptive noise cancellation for speech enhancement in an automobile environment. In: IEE Colloquium on Adaptive Signal Processing for Mobile Communication Systems. IEE Colloquium, Ref. No. 1997/383. IEE Colloquium on Adaptive Signal Processing for Mobile Communication Systems, London, 29.10.1997-29.10.1997. Piscataway, NJ: IEEE, pp. 5/1-5/6. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=668616&abstractAccess=no&userType=; https://doi.org/10.1049/ic%3A19971311

Abstract
Concerning noise in automobiles, the effect of spacing sub-bands nonlinearly in a multi-microphone sub-band adaptive (MMSBA) speech enhancement system as in humans according to a published cochlear function (Greenwood, 1990) is investigated, and the MMSBA scheme is further developed by employing diverse sub-band processing (SEP) in order to allow inter-channel features within the sub-bands to influence the subsequent processing. In order to realize this, a practical metric is developed capable of real-time implementation based on the inter-channel magnitude squared coherence (MSC) relationship which is adaptively estimated during noise alone periods in intermittent speech, for automatically selecting the best SEP option. The choice of SEP options include: (i) no processing; (ii) intermittent coherent noise canceller; and (iii) continuous incoherent noise canceller. The performance of the MMSBA scheme is assessed using informal subjective listening tests for the case of real reverberant automobile data