METHOD FOR ADAPTING COMPRESSED ACOUSTIC MODEL USING ADAPTATION TRAINING DATA
PURPOSE: A method for adapting compressed acoustic model is provided to adapt acoustic models that are quantized and compressed using adaptation training data in multi-dimensional sub-spaces. CONSTITUTION: Acoustic models quantized in sub-spaces are adapted using adaptation training data. The acoust...
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Main Author | |
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Format | Patent |
Language | English Korean |
Published |
20.11.2004
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Edition | 7 |
Subjects | |
Online Access | Get full text |
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Summary: | PURPOSE: A method for adapting compressed acoustic model is provided to adapt acoustic models that are quantized and compressed using adaptation training data in multi-dimensional sub-spaces. CONSTITUTION: Acoustic models quantized in sub-spaces are adapted using adaptation training data. The acoustic models are compressed into multi-dimensional sub-spaces. A codebook is generated for each of the sub-spaces. Adaptation transform is estimated and applied to codewords of codebooks. The codebook is divided into regression classes. The regression classes reflect whether Gaussian distribution belongs to a language class such as a consonant, a vowel or mute. |
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Bibliography: | Application Number: KR20040034101 |