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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Soo-Young Lee |
| Copyright Year | 2005 |
| Description | Author affiliation: Professor, Ph. D., Korea Advanced Institute of Science and Technology (KAIST), KOREA, Editor-in-Chief, Neural Information Processing - Letters & Reviews, Professor, Department of BioSystems, Professor, Division of Electrical Engineering, Department of Electrical Engineering and Computer Science, Director, Brain Science Research Center (Soo-Young Lee) Several bio-inspired models of human auditory perception are reported for robust speech recognition in real-world noisy environment. The developed mathematical models of the human auditory pathway are integrated into a speech recognition system, of which 3 components are (1) the nonlinear feature extraction model from cochlea to auditory cortex, (2) the binaural processing model at superior olivery complex, and (3) the top-down attention model from higher brain to the cochlea. The unsupervised Independent Component Analysis shows that some auditory feature extraction and binaural processing mechanisms follow information theory with sparse representation. The ICA-based features resemble frequency-limited features extracted from the cochlea and also more complex time-frequency features from the inferior colliculus and auditory cortex. The top-down attention model shows how the pre-acquired knowledge in our brain filters out irrelevant features or fills in missing features in the sensory data. Both the top-down attention and bottom-up binaural processing are combined into a single system for high-noisy cases. This auditory model requires extensive computing, and several VLSI implementations had been developed for real-time applications. Experimental results demonstrate much better recognition performance in real-world noisy environments. |
| File Size | 334163 |
| File Format | |
| ISBN | 0780394224 |
| DOI | 10.1109/ICNNB.2005.1614702 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Working environment noise Humans Speech recognition Independent component analysis Brain modeling Feature extraction Frequency Noise robustness Mathematical model Information theory |
| Content Type | Text |
| Resource Type | Article |
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