A Novel Method for Rapid Speaker Adaptation Using Reference Support Speaker Selection

摘要

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.