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We use the ETSI advanced front-end standard for distributed speech recognition [15].
This work addresses the problem of achieving robust distributed speech recognition (DSR) performance in the presence of packet loss.
In this paper, we propose a whole recovery scheme designed to improve robustness against packet losses in distributed speech recognition systems.
Due to the limited network bandwidth, a noise robust low bit-rate compression scheme of Mel frequency cepstral coefficients (MFCCs) is desired for distributed speech recognition (DSR) services.
Distributed adaptive signal processing and communication networking are rapidly advancing research areas which enable new and powerful signal processing tasks, e.g., distributed speech enhancement in adverse environments.
These findings suggest that the distributed speech comprehension network expresses predictions that aid the processing of incoming acoustic information by enhancing phase-locked activity.
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Stone wrote extensively about a wide range of women's rights, publishing and distributing speeches by herself and others, and convention proceedings.
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