Author:
Mahdi Triki
Affiliation:
Philips Research Laboratories, Netherlands
Keyword(s):
Acoustic echo cancellation, Acoustic echo suppression, Non-stationary environment, Automatic speech recognition, Speech enhancement.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Speech Recognition
Abstract:
During the last decades, performance of speech recognizers significantly increased for large vocabulary tasks and adverse environments. To reduce interference, acoustic echo cancellation has been proposed and extensively investigated. Particular attention was paid to the convergence proprieties and the capability to handle double talk. However, in time-varying environment, the echo canceller has the additional task to track the variations of the propagation channel. With this respect, it has been established that algorithms that exhibit fast convergence do not provide necessarily good tracking performances. In such an environment, performance assessment is also challenging and the ‘experiment’ design is crucial to provide consistent and interpretable results. In the present paper, we reproduce time-varying artifacts by altering the surrounding acoustic environment (using a moving person/robot). The movement characteristics (discrete/continuous) and location (line-of-sight/background)
emphasizes different room/algorithms characteristics and provides deeper insights on the system behavior.
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