Multi-resolution RASTA filtering for TANDEM-based ASR

New speech representation based on multiple filtering of temporal trajectories of speech energies in frequency sub-bands is proposed and tested. The technique extends earlier works on delta features and RASTA filtering by processing temporal trajectories by a bank of band-pass filters with varying resolutions. In initial tests on OGI Digits database the technique yields about 30\% relative improvement in word error rate over the conventional PLP features. Since the applied filters have zero-mean impulse responses, the technique is inherently robust to linear distortions.


Year:
2005
Publisher:
IDIAP
Keywords:
Note:
Published in Interspeech 2005
Laboratories:




 Record created 2006-03-10, last modified 2018-01-27

External links:
Download fulltextURL
Download fulltextn/a
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)