제어로봇시스템학회:학술대회논문집
- 1993.10a
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- Pages.870-876
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- 1993
Binary clustering network for recognition of keywords in continuous speech
연속음성중 키워드(Keyword) 인식을 위한 Binary Clustering Network
Abstract
This paper presents a binary clustering network (BCN) and a heuristic algorithm to detect pitch for recognition of keywords in continuous speech. In order to classify nonlinear patterns, BCN separates patterns into binary clusters hierarchically and links same patterns at root level by using the supervised learning and the unsupervised learning. BCN has many desirable properties such as flexibility of dynamic structure, high classification accuracy, short learning time, and short recall time. Pitch Detection algorithm is a heuristic model that can solve the difficulties such as scaling invariance, time warping, time-shift invariance, and redundance. This recognition algorithm has shown recognition rates as high as 95% for speaker-dependent as well as multispeaker-dependent tests.
Keywords