Research
Focus: |
Low bit rate, scalable coding of
wideband speech and audio signals is becoming increasingly important due to a growing
number of applications, including audio over IP, digital audio broadcast and
video-conferencing. My research interests are in developing compression methods for
transmission of high quality wideband speech and music at 1-2 bps. The focus is in
achieving high bit-rate and bandwidth scalability of wideband audio to aid in its
transmission over packet and circuit switched networks. The initial approach towards
this end is using a novel adaptive wavelet decomposition and a zerotree coding scheme. The
algorithm has the ability to adapt to varying signal characteristics, and to exploit the
perceptual redundancy of the human ear while at the same time yielding a very high
bit-rate scalability. Encouraging results were obtained for a 8KHz bandwidth audio signals
at an output bit-rate of 30kbps. I plan to continue this work and to pursue others in the
area of scalable audio coding.
For reference, please read the paper:
A. Aggarwal, V. Cuperman, K. Rose and A. Gersho,
"Perceptual Zerotrees for Scalable Wavelet Coding of Wideband Audio," Proc. 1999
IEEE Workshop on Speech Coding, Pocono manor, PA, pp. 16-18, Jun. 1999. |