The Tempo 2 Algorithm: Adjusting Time-Delays by Supervised Learning
Abstract
In this work we describe a new method that adjusts time-delays and the widths of time-windows in artificial neural networks automatically. The input of the units are weighted by a gaussian input-window over time which allows the learning rules for the delays and widths to be derived in the same way as it is used for the weights. Our results on a phoneme classification task compare well with results obtained with the TDNN by Waibel et al., which was manually optimized for the same task.
Cite
Text
Bodenhausen and Waibel. "The Tempo 2 Algorithm: Adjusting Time-Delays by Supervised Learning." Neural Information Processing Systems, 1990.Markdown
[Bodenhausen and Waibel. "The Tempo 2 Algorithm: Adjusting Time-Delays by Supervised Learning." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/bodenhausen1990neurips-tempo/)BibTeX
@inproceedings{bodenhausen1990neurips-tempo,
title = {{The Tempo 2 Algorithm: Adjusting Time-Delays by Supervised Learning}},
author = {Bodenhausen, Ulrich and Waibel, Alex},
booktitle = {Neural Information Processing Systems},
year = {1990},
pages = {155-161},
url = {https://mlanthology.org/neurips/1990/bodenhausen1990neurips-tempo/}
}