Extracting Features from the Short-term Time Structure of Cochlear Filtered Sound

Citation

Smith L (1998) Extracting Features from the Short-term Time Structure of Cochlear Filtered Sound. In: Bullinaria J, Glasspool D & Houghton G (eds.) 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997: Connectionist Representations. Perspectives in Neural Computing. Fourth Neural Computation and Psychology Workshop, London, 09.04.1997-11.04.1997. London: Springer, pp. 113-125. http://link.springer.com/chapter/10.1007/978-1-4471-1546-5_10; https://doi.org/10.1007/978-1-4471-1546-5_10

Abstract
Auditory modelling uses the architecture of the auditory system to guide early sound processing. The advantage of this approach is (i) time-resolution is better and (ii) many bandpassed channels are available and can he processed in parallel. Good time-resolution allows sophisticated across-time processing to be applied to each channel, resulting in the discovery of features in each channel. Logically each channel can be processed simultaneously. The features discovered can be correlated across channels. We present some early results for processing sound at three different levels of short-term time structure.

People

Professor Leslie Smith

Emeritus Professor, Computing Science