Classification Error-based Linear Discriminative Feature Transformation for Large Vocabulary Continuous Speech Recognition
碩士 === 國立臺灣師範大學 === 資訊工程研究所 === 97 === The goal of linear discriminant analysis (LDA) is to seek a linear transformation that projects an original data set into a lower-dimensional feature subspace while simultaneously retaining geometrical class separability. However, LDA cannot always guarantee be...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/6w7r9s |