Technical Program

Paper Detail

Paper:AE-P6.6
Session:Audio for Multimedia and Networks
Time:Friday, May 21, 13:00 - 15:00
Presentation: Poster
Topic: Audio and Electroacoustics: Network Audio
Title: FINE-GRANULAR SCALABLE AND ERROR RESILIENT AUDIO CODING BY TREE-STRUCTURED QUANTIZATION
Authors: Stian Johansen; Norwegian University of Science and Technology 
 Andrew Perkis; Norwegian University of Science and Technology 
 Tor Audun Ramstad; Norwegian University of Science and Technology 
 Ajit Shyamsunder Bopardikar; Norwegian University of Science and Technology 
Abstract: This paper presents a scheme for scalable, errorresilient coding of audio signals. The scheme is implemented hereas part of a subband-based audio codec and involves the union oftwo interconnected ideas: Tree-structured vector quantization(TSVQ) and reallocation of bits (RoB). The former ensures that the encoding procedure results in fixed-length codes while the latter is a low-complexity scaling algorithm that computes optimal bitrates for each subband when the bitstream needs to bedownscaled to a lower bitrate. The functionality enabled by thesetwo systems assumes great importance when the encoded material is to be delivered over channels and networks that have a time-varying bitrate, such as IP-based wireless networks. Suchchannels are often error-prone and the potentially debilitatingeffects of introduced errors are mitigated by the inherentfixed-length property of all codewords. We present results thathighlight the performance of this system under noisy conditionsand show that the degradation in quality is graceful.
 
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