Exploratory Feature Extraction in Speech Signals
Abstract
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.
Cite
Text
Intrator. "Exploratory Feature Extraction in Speech Signals." Neural Information Processing Systems, 1990.Markdown
[Intrator. "Exploratory Feature Extraction in Speech Signals." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/intrator1990neurips-exploratory/)BibTeX
@inproceedings{intrator1990neurips-exploratory,
title = {{Exploratory Feature Extraction in Speech Signals}},
author = {Intrator, Nathan},
booktitle = {Neural Information Processing Systems},
year = {1990},
pages = {241-247},
url = {https://mlanthology.org/neurips/1990/intrator1990neurips-exploratory/}
}