A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Separating speaker and environmental variability using factored transforms
2011
Interspeech 2011
unpublished
Two primary sources of variability that degrade accuracy in speech recognition systems are the speaker and the environment. While many algorithms for speaker or environment adaptation have been proposed to improve performance, far less attention has been paid to approaches which address for both factors. In this paper, we present a method for compensating for speaker and environmental mismatch using a cascade of CMLLR transforms. The proposed approach enables speaker transforms estimated in one
doi:10.21437/interspeech.2011-415
fatcat:qwahi2t365bf7cifkda5ddef2y