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Rate-distortion optimal high-resolution differential quantisation for sinusoidal coding of audio and speech
KTH, School of Electrical Engineering (EES), Signal Processing.
2005 (English)In: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005, 243-246 p.Conference paper (Refereed)
Abstract [en]

Sinusoidal coding plays an important role in low-rate audio coding. Typically, (time/frequency) differential techniques are employed to reduce the bit rate for representing the sinusoidal components. In this paper we derive optimal entropy-constrained differential quantisers for quantising the sinusoid parameters. More specifically, the quantisers minimise a perceptually relevant distortion measure while the corresponding quantisation indices satisfy an entropy constraint. The quantisers turn out to be flexible and of low complexity. Subjective evaluations with audio signals suggest a bit-rate reduction as high as 20% with the derived quantisers over state-of-the-art (logarithmic) quantisers.

Place, publisher, year, edition, pages
2005. 243-246 p.
Keyword [en]
Audio systems, Bit error rate, Constraint theory, Differential equations, Optimal control systems, Audio coding, Audio signals, Sinusoid parameters, Sinusoidal components, Speech coding
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-157066DOI: 10.1109/ASPAA.2005.1540215ISI: 000236204100062ScopusID: 2-s2.0-33749067014ISBN: 0780391543ISBN: 9780780391543OAI: diva2:772703
2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics; New Paltz, NY; United States; 16 October 2005 through 19 October 2005

QC 20141217

Available from: 2014-12-17 Created: 2014-12-05 Last updated: 2014-12-17Bibliographically approved

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