In order to develop a target speech recognition system with less cost of time and money, reusability of existing speech corpora is becoming one of the most important issues. This paper proposes a new technique of applying a statistical multidimensional scaling method to analyze the reusability of a speech corpus. In the experiment using six speech corpora, which contains isolated words and short sentences used in car navigation system, an effect of the proposed method is evaluated by a usual approach of cross task recognition. Furthermore, the relationship among those speech corpora is clearly shown by the proposed method.
Cite as: Nagino, G., Shozakai, M. (2006) Analyzing reusability of speech corpus based on statistical multidimensional scaling method. Proc. Interspeech 2006, paper 1382-Mon1CaP.3, doi: 10.21437/Interspeech.2006-41
@inproceedings{nagino06_interspeech,
author={Goshu Nagino and Makoto Shozakai},
title={{Analyzing reusability of speech corpus based on statistical multidimensional scaling method}},
year=2006,
booktitle={Proc. Interspeech 2006},
pages={paper 1382-Mon1CaP.3},
doi={10.21437/Interspeech.2006-41}
}