DocumentCode :
1700151
Title :
Audio packet loss concealment using motion-compensated spectral extrapolation
Author :
Pedram, Seyed Kamran ; Vaseghi, Saeed ; Langari, Bahareh
Author_Institution :
Sch. of Eng., Brunel Univ., Uxbridge, UK
fYear :
2013
Abstract :
This paper presents a packet loss concealment (PLC) method with applications to VoIP, wideband audio broadcast and streaming. The problem of modeling of time-varying frequency spectrum in the context of PLC is addressed and a novel solution is proposed for tracking and using the temporal motion of spectral flow. The proposed PLC utilizes a time-frequency motion (TFM) matrix representation of the audio signal where each frequency is tagged with a motion vector estimate. The spectral motion vectors are estimated by cross-correlating the movement of spectral energy within sub-bands across time frames. The missing packets are estimated in TFM domain and inverse transformed to the time-domain. In order to compare the proposed method with common approaches, objective performance evaluation of speech quality (PESQ), and subjective listening test in terms of MOS scores are conducted in a range of packet loss from 5% to 20%. The results demonstrate that the proposed algorithm improves performance compared to a number of benchmark methods including that of the ITU.
Keywords :
Internet telephony; audio signal processing; audio streaming; broadcast communication; extrapolation; inverse transforms; matrix algebra; motion compensation; motion estimation; performance evaluation; time-frequency analysis; vectors; ITU; MOS score; PESQ; PLC; TFM; VoIP; audio packet loss concealment; audio signal; benchmark method; inverse transform; matrix representation; motion-compensated spectral extrapolation; performance evaluation of speech quality; spectral motion vector estimation; temporal spectral flow motion; time-frequency motion; time-varying frequency spectrum; wideband audio broadcast; wideband audio streaming; Discrete Fourier transforms; Discrete cosine transforms; Image segmentation; Motion segmentation; Speech; Time-frequency analysis; Vectors; Audio; Motion compensation; PLC; Time-varying; VoIP;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology(ISSPIT), 2013 IEEE International Symposium on
Conference_Location :
Athens
Type :
conf
DOI :
10.1109/ISSPIT.2013.6781920
Filename :
6781920
Link To Document :
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