Feature Extraction And Sentence Recognition Algorithm In Speech Input System
Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Speech Understanding. Pages 506--1.
Abstract
A feature extraction method for speech waves and an algorithm for sentence recognition are studied. The feature extraction is based on an articulatory model constructed from the statistical analysis of X-ray data. The model holds implicitly the physiological constraints and made possible to estimate the state of the articulatory mechanism. The estimated articulatory parameters provide a set of good features for the speech recognition. The sentence recognition problem is mathematically formulated as an optimization problem with constraints by introducing sentence structures from the syntactic and semantic considerations. The algorithm presents an optimal solution in the Bayesian sense.
@inproceedings{ijcai1975p79,
title = {Feature Extraction And Sentence Recognition Algorithm In Speech Input System},
author = {Shirai, Yoshiaki},
booktitle = {Proceedings of the Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-75}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Patrick Winston and Carl Hewitt},
pages = {506---1},
year = {1975},
note = {Speech Understanding},
url = {https://ijcai.org/proceedings/1975/79},
}
TY - CPAPER TI - Feature Extraction And Sentence Recognition Algorithm In Speech Input System AU - Shirai, Yoshiaki T2 - Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75 PB - International Joint Conferences on Artificial Intelligence PY - 1975 SP - 506 EP - -1 UR - https://ijcai.org/proceedings/1975/79 ER -Copied
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