A Novel Method for Rapid Speaker Adaptation Using Reference Support Speaker Selection
In this paper, we propose a novel method for rapid speaker adaptation based on speaker selection, called reference support speaker selection (RSSS). The speakers, who are acoustically close to the test speaker, are selected from reference speakers using our proposed algorithm. Furthermore, a single-pass re-estimation procedure, conditioned on the selected speakers is shown. The proposed method can quickly obtain a more optimal reference speaker subset because the selection is dynamically determined according to reference support vectors. This adaptation strategy was evaluated in a large vocabulary speech recognition task. From the experiments, we confirm the effectiveness of proposed method.
KeywordsSupport Vector Machine Support Vector Target Speaker Optimal Hyperplane Maximum Likelihood Linear Regression
Unable to display preview. Download preview PDF.
- 3.Sankar, A., Beaufays, F., Digalakis, V.: Training data clustering for improved speech recognition. In: Proc. Eurospeech, pp. 502–505.4 (1995)Google Scholar
- 4.Padmanabhan, M., Bahl, L.R., Nahamoo, D., Picheny, M.A.: Speaker clustering and transformation for speaker adaptation in speech recognition systems. IEEE Trans. Speech Audio Processing, January 1998, 71–77 (1998)Google Scholar
- 5.Scholkopf, B., Burges, C., Vapnik, V.: Incorporating invariances in support vector learing machines. In: Vorbrüggen, J.C., von Seelen, W., Sendhoff, B. (eds.) ICANN 1996. LNCS, vol. 1112, pp. 47–52. Springer, Heidelberg (1996)Google Scholar
- 8.Gunn, S.R.: Support vector machines for classification and regression. Technical Report Image Speech and Intelligent Systems Research Group, University of Southampton (1997)Google Scholar