Exploratory Feature Extraction in Speech Signals

Part of Advances in Neural Information Processing Systems 3 (NIPS 1990)

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Nathan Intrator


A novel unsupervised neural network for dimensionality reduction which seeks directions emphasizing multimodality is presented, and its connec(cid:173) tion to exploratory projection pursuit methods is discussed. This leads to a new statistical insight to the synaptic modification equations governing learning in Bienenstock, Cooper, and Munro (BCM) neurons (1982). The importance of a dimensionality reduction principle based solely on distinguishing features, is demonstrated using a linguistically motivated phoneme recognition experiment, and compared with feature extraction using back-propagation network.