The paper proposes a tree-structured speaker clustering algorithm and discusses its application
to fast speaker adaptation. By tracing the clustering tree from top to bottom, adaptation is …

We have already proposed the application of tree-structured speaker clustering to
supervised speaker adaptation. This paper proposes its application to unsupervised speaker …

In this study, a speech emotion recognition method that uses both acoustic and linguistic
features is studied. Various emotion recognition methods using both the abovementioned types …

This paper proposes a novel speech adaptation algo rithm that enables adaptation even
with a small amount of speech data. This Page 1 SPEAKER A DAPTATION BASED ON …

This paper proposes a novel speaker adaptation algorithm that enables adaptation with a
small amount of speech data. This algorithm consists of two blocks. One is a parameter …

We have already proposed a tree-structured speaker clustering method and its application
to supervised speaker adap-tation. This adaptation method is based on the selection of a …

Emotional speech recognition is generally considered more difficult than non-emotional
speech recognition. The acoustic characteristics of emotional speech differ from those of non-…

This paper proposes instantaneous environment adaptation techniques for both additive
noise and channel distortion based on the fast PMC (FPMC) and the MAP-CMS methods. The …

This paper proposes a novel method for speaker-independent phone modeling based on the
composition and clustering method (CCL) of speaker-dependent HMMs. In general, HMM …

Generally, emotional speech recognition is consid-ered more difficult than non-emotional
speech recognition. This is because the acoustic features of emotional speech are different …