Voice Command II: A DSP Implementation of Robust Speech Recognition in Real-World Noisy Environments.
S. Y. Lee, D. S. Kim, Kihong Ahn, J.-H. Jeong, Hyoungsoo Kim, S. Y. Park, L. Y. Kim, J. S. Lee, H. Y. Lee · 1997
The "Voice Command" system, designed for isolated word recognition tasks in real-world noisy environments, was implemented on a fixed-point DSP board to operate in real-time. Simple auditory model, i.e., zero-crossings with peak amplitudes (ZCPA) model, is used for noise-robust feature extraction, and neural network classifier recognizes input patterns. The system performance is further improved by incorporating speaker adaptation and out-of-vocabulary word rejection capabilities. The radial basis function (RBF) classifier provides better rejection performance than multi-layer perceptron (MLP) classifiers. 1.