This paper investigates techniques for mitigating the effect of missing packets of MPEG-4 Advanced Audio Coding (AAC) data so as to minimize perceived audio degradation. Applications include streaming of AAC music files over the Internet and wireless packet data channels. A range of techniques are presented, but statistical interpolation in the time/frequency domain is found to be the the most effective. The novelty of the work is to use statistical interpolation techniques intended for time domain samples on the frequency domain coefficients. A means of complexity reduction is presented, after which the error mitigation is found to require on average 17% additional computation for a channel with 5% errors as compared to a clear channel. In an informal listening test, all subjects preferred this technique over a more simplistic technique of signal repetition, and for one signal item statistical interpolation was preferred to the original.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.