Transformation-based model adaptation techniques have been used for many years to improve robustness of speech recognition systems. While the estimation criterion used to estimate transformation parameters has been mainly based on maximum likelihood estimation (MLE), Bayesian versions of some of the
β¦ LIBER β¦
Maximum A Posteriori Linear Regression for language recognition
β Scribed by Jinchao Yang; Xiang Zhang; Hongbin Suo; Li Lu; Jianping Zhang; Yonghong Yan
- Book ID
- 113607221
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 467 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0957-4174
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