Training Method for Pattern Classifier Based on the Performance after Adaptation
Summary :
This paper describes a method for training a pattern classifier that will perform well after it has been adapted to changes in input conditions. Considering the adaptation methods which are based on the transformation of classifier parameters, we formulate the problem of optimizing classifiers, and propose a method for training them. In the proposed training method, the classifier is trained while the adaptation is being carried out. The objective function for the training is given based on the recognition performance obtained by the adapted classifier. The utility of the proposed training method is demonstrated by experiments in a five-class Japanese vowel pattern recognition task with speaker adaptation.
- Publication
- IEICE TRANSACTIONS on Information Vol.E83-D No.7 pp.1560-1566
- Publication Date
- 2000/07/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Speech and Hearing
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Naoto IWAHASHI, "Training Method for Pattern Classifier Based on the Performance after Adaptation" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 7, pp. 1560-1566, July 2000, doi: .
Abstract: This paper describes a method for training a pattern classifier that will perform well after it has been adapted to changes in input conditions. Considering the adaptation methods which are based on the transformation of classifier parameters, we formulate the problem of optimizing classifiers, and propose a method for training them. In the proposed training method, the classifier is trained while the adaptation is being carried out. The objective function for the training is given based on the recognition performance obtained by the adapted classifier. The utility of the proposed training method is demonstrated by experiments in a five-class Japanese vowel pattern recognition task with speaker adaptation.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_7_1560/_p
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@ARTICLE{e83-d_7_1560,
author={Naoto IWAHASHI, },
journal={IEICE TRANSACTIONS on Information},
title={Training Method for Pattern Classifier Based on the Performance after Adaptation},
year={2000},
volume={E83-D},
number={7},
pages={1560-1566},
abstract={This paper describes a method for training a pattern classifier that will perform well after it has been adapted to changes in input conditions. Considering the adaptation methods which are based on the transformation of classifier parameters, we formulate the problem of optimizing classifiers, and propose a method for training them. In the proposed training method, the classifier is trained while the adaptation is being carried out. The objective function for the training is given based on the recognition performance obtained by the adapted classifier. The utility of the proposed training method is demonstrated by experiments in a five-class Japanese vowel pattern recognition task with speaker adaptation.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - Training Method for Pattern Classifier Based on the Performance after Adaptation
T2 - IEICE TRANSACTIONS on Information
SP - 1560
EP - 1566
AU - Naoto IWAHASHI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2000
AB - This paper describes a method for training a pattern classifier that will perform well after it has been adapted to changes in input conditions. Considering the adaptation methods which are based on the transformation of classifier parameters, we formulate the problem of optimizing classifiers, and propose a method for training them. In the proposed training method, the classifier is trained while the adaptation is being carried out. The objective function for the training is given based on the recognition performance obtained by the adapted classifier. The utility of the proposed training method is demonstrated by experiments in a five-class Japanese vowel pattern recognition task with speaker adaptation.
ER -
English
