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Analog auditory perception model for robust speech recognition
2004 / IEEE / 0-7803-8359-1
This item was taken from the IEEE Conference ' Analog auditory perception model for robust speech recognition ' An auditory perception model for noise-robust speech feature extraction is presented. The model assumes continuous-time filtering and rectification, amenable to real-time, low-power analog VLSI implementation. A 3 mm/spl times/3 mm CMOS chip in 0.5 /spl mu/m CMOS technology implements the general form of the model with digitally programmable filter parameters. Experiments on the TI-DIGIT database demonstrate consistent robustness of the new features to noise of various statistics, yielding significant improvements in digit recognition accuracy over models identically trained using Mel-scale frequency cepstral coefficient (MFCC) features.
Continuous Time Filters
Cmos Analogue Integrated Circuits
Analog Auditory Perception Model
Robust Speech Recognition
Noise-robust Speech Feature Extraction
Continuous Time Filtering
Digital Programmable Filter Parameters
Digit Recognition Accuracy
Mel-scale Frequency Cepstral Coefficient
Low Power Analog Vlsi Implementation
Semiconductor Device Modeling
Mel Frequency Cepstral Coefficient
Very Large Scale Integration
Continuous Time Rectification