On the Use of a Taxonomy of Time-Frequency Morphologies for Automatic Speech Recognition
Abstract
A computer vision approach based on skeletonization and hierarchical description of speech patterns is proposed. Learniug hierarchical descriptions of phonetic events is discussed. Experimental results arc reported showing the power of the approach in the recognition of dipthongs in connected letters and digits.
Cite
Text
de Mori and Palakal. "On the Use of a Taxonomy of Time-Frequency Morphologies for Automatic Speech Recognition." International Joint Conference on Artificial Intelligence, 1985.Markdown
[de Mori and Palakal. "On the Use of a Taxonomy of Time-Frequency Morphologies for Automatic Speech Recognition." International Joint Conference on Artificial Intelligence, 1985.](https://mlanthology.org/ijcai/1985/demori1985ijcai-use/)BibTeX
@inproceedings{demori1985ijcai-use,
title = {{On the Use of a Taxonomy of Time-Frequency Morphologies for Automatic Speech Recognition}},
author = {de Mori, Renato and Palakal, Mathew J.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1985},
pages = {877-879},
url = {https://mlanthology.org/ijcai/1985/demori1985ijcai-use/}
}