Embedded audio coding (EAC) with implicit auditory masking
Proceedings of the tenth ACM international conference on Multimedia
A Survey of Error-Concealment Schemes for Real-Time Audio and Video Transmissions over the Internet*
MSE '00 Proceedings of the 2000 International Conference on Microelectronic Systems Education
Smart copying-a new approach to reconstruction of audio signals
IEEE Transactions on Signal Processing
Error robust scalable audio streaming over wireless IP networks
IEEE Transactions on Multimedia
A survey of packet loss recovery techniques for streaming audio
IEEE Network: The Magazine of Global Internetworking
Power-efficient streaming for mobile terminals
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
Power-aware bandwidth and stereo-image scalable audio decoding
Proceedings of the 13th annual ACM international conference on Multimedia
Modelling dependency in multimedia streams
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Improving audio files availability in file sharing networks
WebMedia '09 Proceedings of the XV Brazilian Symposium on Multimedia and the Web
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We propose a framework to achieve bandwidth efficient, error robust and bitrate scalable audio streaming. Our approach is compatible with most audio compression format. The main contributions of this paper include: 1) the proposal of a Multi-Stage Interleaving (MSI) strategy which translates packet loss into loss of separate frequency components that are less perceptually significant; and 2) the design of a Layered Unequal-Sized Packetization (LUSP) scheme which enables bitrate scalability and prioritized packet transmission. The combination of the proposed MSI and LUSP allows the use of a set of simple yet effective methods of error concealment in the compressed domain. Our approach offers significant advantages over existing methods in terms of memory consumption (a savings of over 40 times in the sample MP3 implementation), and computational complexity, which are critical issues for battery-powered small devices.