Miichi Yamada

Unsupervised acoustic model adaptation algorithm using MLLR in a noisy environment

Kiyohiro Shikano, Hiroshi Saruwatari, Akinobu Lee, 2006 .

Large Vocablary Cnotinuous Speech Recognition Performance in Car Environments for Various Phoneme Models

Satoshi Nakamura, Kiyohiro Shikano, Miichi Yamada, 2000 .

Detection and Separation of Speech Events in Meeting Recordings Using a Microphone Array

Futoshi Asano, Jun Ogata, Miichi Yamada, 2007, EURASIP J. Audio Speech Music. Process..

Unsupervised Phoneme Model Training Based on the Sufficient HMM Statistics from Selected Speakers

Kiyohiro Shikano, Akinobu Lee, Miichi Yamada, 2002 .

Unsupervised speaker adaptation based on sufficient HMM statistics of selected speakers

Kiyohiro Shikano, Miichi Yamada, Akira Baba, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Evaluation on unsupervised speaker adaptation based on sufficient HMM statictics of selected speakers

Kiyohiro Shikano, Akinobu Lee, Miichi Yamada, 2001, INTERSPEECH.

Elderly acoustic model for large vocabulary continuous speech recognition

Kiyohiro Shikano, Akinobu Lee, Miichi Yamada, 2001, INTERSPEECH.

Elderly Acoustic Models for Large Vocabulary Continuous Speech Recognition

Kiyohiro Shikano, Akinobu Lee, Miichi Yamada, 2002 .

Unsupervised training of phoneme models using HMM sufficient statistics and a speaker distance function

Kiyohiro Shikano, Akinobu Lee, Miichi Yamada, 2005 .

Unsupervised noisy environment adaptation algorithm using MLLR and speaker selection

Kiyohiro Shikano, Hiroshi Saruwatari, Akinobu Lee, 2001, INTERSPEECH.

Acoustic models of the elderly for large‐vocabulary continuous speech recognition

Kiyohiro Shikano, Akinobu Lee, Miichi Yamada, 2004 .