Third International Conference on Spoken Language Processing (ICSLP 94)
In this paper, we propose the following four speaker adaptation methods based on Fuzzy Vector Quantization (FVQ),
All these methods adapt the reference codebook using adaptation vector, estimated for a certain criterion. The experiments show that all these methods have better performance in comparison with speaker-independent isolated word recognition, when applied to FVQ/HMM. In particular unsupervised speaker adaptation shows that the word recognition rate for "outlier" speakers has been improved from 84.2 % to 88.9 % using 5 adaptation words.
Bibliographic reference. Nakahashi, Jun'ichi / Tsuboka, Eiichi (1994): "Speaker adaptation based on fuzzy vector quantization", In ICSLP-1994, 467-470.