ROBUST SPEAKER VERIFICATION IN NOISY CONDITIONS BY MODIFICATION OF SPECTRAL TIME TRAJECTORIES

TY - CONF

T1 - ROBUST SPEAKER VERIFICATION IN NOISY CONDITIONS BY MODIFICATION OF SPECTRAL TIME TRAJECTORIES

AU - Ramanujam, Vidhya

AU - Balchandran, Rajesh

AU - Mammone, Richard J.

N1 - Funding Information: This research effort was supported by the Air Force Research Laboratory (AFRL), Rome, NY. Publisher Copyright: © 1999 6th European Conference on Speech Communication and Technology, EUROSPEECH 1999. All rights reserved.

PY - 1999

Y1 - 1999

N2 - Real-world speech and speaker recognition systems are often subject to ambient noise which results in significant performance loss, more so when the noise types and noise levels are different between training and testing. This paper presents a new preprocessing technique, Coherent Spectral Modification, that aims to reduce distortion due to noise by modifying the complex speech spectrum using information from non-speech regions of the spectral time trajectories. A refinement process is also proposed that further reduces noise mismatch. This combined technique was evaluated on a speaker verification task where the test data was corrupted with varying levels of white noise and pink noise. The new method yielded significant reduction in error rates and performed better than conventional spectral subtraction, particularly at moderate SNRs.

AB - Real-world speech and speaker recognition systems are often subject to ambient noise which results in significant performance loss, more so when the noise types and noise levels are different between training and testing. This paper presents a new preprocessing technique, Coherent Spectral Modification, that aims to reduce distortion due to noise by modifying the complex speech spectrum using information from non-speech regions of the spectral time trajectories. A refinement process is also proposed that further reduces noise mismatch. This combined technique was evaluated on a speaker verification task where the test data was corrupted with varying levels of white noise and pink noise. The new method yielded significant reduction in error rates and performed better than conventional spectral subtraction, particularly at moderate SNRs.

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M3 - Paper

SP - 791

EP - 794

T2 - 6th European Conference on Speech Communication and Technology, EUROSPEECH 1999

Y2 - 5 September 1999 through 9 September 1999

ER -