A hierarchical LPNN network for noise reduction and noise degraded speech recognition
Yuqing Gao, Jean‐Paul Haton · 2002
We present a new linked predictive neural network structure-hierarchical LPNN-and the speech recognition system based on it. This neural network is specially developed for the noise degraded speech recognition problem and integrates the speech recognition and noise reduction in a unified structure. The network is trained according to joint optimization criterion both for the signal prediction and for the noise reduction. We present results which indicate that joint optimization results in a better speech recognition performance of the all over system for noise degraded speech signals.>