TY - GEN
T1 - Non-linear sub-band processing for binaural adaptive speech-enhancement
AU - Hussain, Amir
PY - 1999
Y1 - 1999
N2 - Non-linear processing using a general class of feedforward, single hidden-layered Artificial Neural Networks is proposed for processing band-limited noisy signals in a binaural adaptive speech-enhancement scheme. The sub-band spacing within the adaptive speech-enhancement system can be set as in human hearing, according to a published cochlear function. Preliminary comparative results achieved in simulation experiments demonstrate that the proposed binaural sub-band scheme is capable of significantly outperforming conventional linear-processing based wide-band and sub-band noise-cancellation methods, in the presence of non-linear interference.
AB - Non-linear processing using a general class of feedforward, single hidden-layered Artificial Neural Networks is proposed for processing band-limited noisy signals in a binaural adaptive speech-enhancement scheme. The sub-band spacing within the adaptive speech-enhancement system can be set as in human hearing, according to a published cochlear function. Preliminary comparative results achieved in simulation experiments demonstrate that the proposed binaural sub-band scheme is capable of significantly outperforming conventional linear-processing based wide-band and sub-band noise-cancellation methods, in the presence of non-linear interference.
UR - https://www.scopus.com/pages/publications/0033340189
U2 - 10.1049/cp:19991095
DO - 10.1049/cp:19991095
M3 - Conference contribution
AN - SCOPUS:0033340189
SN - 0852967217
SN - 9780852967218
T3 - IEE Conference Publication
SP - 121
EP - 125
BT - IEE Conference Publication
PB - IEE
T2 - Proceedings of the 1999 the 9th International Conference on 'Artificial Neural Networks (ICANN99)'
Y2 - 7 September 1999 through 10 September 1999
ER -