We have already proposed the application of tree-structured speaker clustering to supervised speaker adaptation. This paper proposes its application to unsupervised speaker adaptation and speakerindependent (SI) speech recognition. This clustering involves the selection of a speaker cluster from amo
On speaker-independent, speaker-dependent, and speaker-adaptive speech recognition
β Scribed by Huang, X.; Lee, K.F.
- Book ID
- 118162448
- Publisher
- IEEE
- Year
- 1993
- Tongue
- English
- Weight
- 882 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1063-6676
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## Abstract This paper discusses a method to handle the diversified dynamic features of speech by representing the dynamic features of speech by spectrum predictors and constructing the codebook containing predictors as the elements. The effectiveness of the method for speakerβindependent speech re
A major problem with most speaker adaptation schemes is that they rely on the speaker providing at least one example of each acoustic unit (word, phone, triphone, etc.) in the vocabulary in order to adapt the appropriate model. Rapid adaptation is difficult to achieve and some sounds may never be ad