Adaptive Redundant Speech Transmission over Wireless Multimedia Sensor Networks Based on Estimation of Perceived Speech Quality
作者： Jin Ah Kang , Hong Kook Kim
DOI: 10.3390/S110908469
关键词:
摘要: An adaptive redundant speech transmission (ARST) approach to improve the perceived quality (PSQ) of streaming applications over wireless multimedia sensor networks (WMSNs) is proposed in this paper. The estimates PSQ as well packet loss rate (PLR) from received data. Subsequently, it decides whether data (RSD) required order assist a decoder reconstruct lost signals for high PLRs. According decision, ARST controls RSD transmission, then optimizes bitrate coding encode current (CSD) and bitstream maintain under conditions. effectiveness demonstrated using multirate-narrowband (AMR-NB) codec ITU-T Recommendation P.563 scalable estimation, respectively. It shown experiments that application employing significantly improves conditions WMSNs.
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