High quality audio coding for mobile multimedia communications

Publisher Summary This chapter highlights the growing importance of research into audio to the fast-moving field of mobile multimedia. The main body of this chapter presents results from two projects that examine high-quality, low bit-rate coding of audio, both music and speech. One approach uses wavelets, which offer advantages over polyphase filter banks and discrete cosine transform (DCT) in MPEG music coding at low bit rates. The other approach uses the long established linear predictive coding (LPC) technique, but in a modified guise, with orders significantly greater than 10. It also uses least mean squares techniques to fit lines in time-frequency space to the line spectral pair (LSP) representation of LPC. The first section offers an introduction to audio coding and processing in the broadest sense as is applicable to mobile multimedia. This chapter emphasizes that in a complete mobile multimedia (MMM) system, the designer needs to take account of more than just the most effective coding technique. Following this, a new approach to speech coding is described and some experimental results presented. Some attention is paid to the means by which high-quality, high-order LPC speech may be resynthesized. Finally, the principles of the use of wavelets in audio coding are covered and these too are supported by results.

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