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学術リポジトリ naistar / NAIST Academic Repository naistar >
学術雑誌論文 / Journal Article >
情報科学研究科 / Graduate School of Information Science >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10061/7829
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| Title: | Building an Effective Speech Corpus by Utilizing Statistical Multidimensional Scaling Method |
| Authors: | Goshu Nagino
Makoto Shozakai
Tomoki Toda
Hiroshi Saruwatari
Kiyohiro Shikano |
| Keywords: | speech corpus
cost effective
speaker selection
acoustic model
statistical MDS method |
| Issue Date: | Mar-2008 |
| Publisher: | 電子情報通信学会 |
| Journal Title: | IEICE Transactions on Information and Systems |
| Volume: | E91-D |
| Issue: | 3 |
| Start page: | 607 |
| End page: | 614 |
| Abstract: | This paper proposes a technique for building an effective speech corpus with lower cost by utilizing a statistical multidimensional scaling method. The statistical multidimensional scaling method visualizes multiple HMM acoustic models into two-dimensional space. At first, a small number of voice samples per speaker is collected; speaker adapted acoustic models trained with collected utterances, are mapped into two-dimensional space by utilizing the statistical multidimensional scaling method. Next, speakers located in the periphery of the distribution, in a plotted map are selected; a speech corpus is built by collecting enough voice samples for the selected speakers. In an experiment for building an isolated-word speech corpus, the performance of an acoustic model trained with 200 selected speakers was equivalent to that of an acoustic model trained with 533 non-selected speakers. It means that a cost reduction of more than 62% was achieved. In an experiment for building a continuous word speech corpus, the performance of an acoustic model trained with 500 selected speakers was equivalent to that of an acoustic model trained with 1179 non-selected speakers. It means that a cost reduction of more than 57% was achieved. |
| URI: | http://hdl.handle.net/10061/7829 |
| URL: | https://search.ieice.org/ |
| ISSN: | 0916-8532 |
| Rights: | Copyright (C) 2008 電子情報通信学会. |
| Text Version: | publisher |
| Publisher DOI: | 10.1093/ietisy/e91-d.3.607 |
| Appears in Collections: | 情報科学研究科 / Graduate School of Information Science
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