Publication Details
Adaptation of Unknown Data to Already Trained Speech Recognition System
data adaptation
This work deals with different speech rate for phoneme recognition based on a Tandem system with TRAP-feature processing. The estimation of rate is based on measuring entropy at the output of the phoneme classifier. Preliminary results obtained on TIMIT database show that this technique may lead to estimation of correct speech rate for mismatched data. This work brings further insight on temporal trajectories and systems based on them.
This work deals with different speech rate for phoneme recognition based on a Tandem system with TRAP-feature processing. The estimation of rate is based on measuring entropy at the output of the phoneme classifier. Preliminary results obtained on TIMIT database show that this technique may lead to estimation of correct speech rate for mismatched data. This work brings further insight on temporal trajectories and systems based on them.
@inproceedings{BUT22410,
author="František {Grézl}",
title="Adaptation of Unknown Data to Already Trained Speech Recognition System",
booktitle="Sborník prací konference a souteze Student EEICT 2005",
year="2005",
pages="4",
publisher="Faculty of Information Technology BUT",
address="Brno",
isbn="80-214-2890-2"
}