Least significant bit coding of speech
2007 (English)In: CONFERENCE RECORD OF THE FORTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1-5, NEW YORK: IEEE , 2007, 1485-1490 p.Conference paper (Refereed)
We investigate the application of distributed source coding to a single-channel speech or audio signal. We compare two methods. In the first, we encode signal sequences using low-density parity check codes in an approach that resembles methods used in video coding. In the second, we encode each sample with only a set of least significant bits (LSB) of the quantization index. In both methods the parameters of a statistical signal model are estimated at the encoder and transmitted to the decoder. The signal model is used only at the decoder. Our results indicate that the LSB coding method is more effective. We show that the order-k entropy of a sequence of LSBs converges more quickly to the entropy rate of the scalar quantized signal than the order-k entropy of the quantized signal itself. As a result, we can approach the rate-distortion bound by applying entropy coding to successive short (several samples) segments of the sequence of LSB sample. The LSB coding method can be extended to lattice quantization.
Place, publisher, year, edition, pages
NEW YORK: IEEE , 2007. 1485-1490 p.
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-36117DOI: 10.1109/ACSSC.2007.4487477ISI: 000257172901024ScopusID: 2-s2.0-50249175919OAI: oai:DiVA.org:kth-36117DiVA: diva2:430570
41st Asilomar Conference on Signals, Systems and Computers Pacific Grove, CA, NOV 04-07, 2007
QC 201107112011-07-112011-07-082011-07-11Bibliographically approved