Abstract
A scalable variable rate characteristic waveform interpolation (CWI) speech coding algorithm is proposed based on wavelet transform (WT). The 2-D characteristic waveform surface is decomposed into several spaces with different time-frequency resolution, which serves as the enhancement layers of scalable CWI coding scheme. The basic layer only contains linear prediction parameters, pitch cycle and power normalized factors. The scalable WT-CWI coder obtains variable bit rate. MUSHRA subjective listening test showed that with the coding rate increasing from 1.8 kbit/s to 3.6 kbit/s, the basic layer of the proposed scalable variable rate CWI coder outputs acceptable speech quality and the enhancement layers improved the speech quality in turn.
| Original language | English |
|---|---|
| Pages (from-to) | 531-535 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 28 |
| Issue number | 6 |
| Publication status | Published - Jun 2008 |
Keywords
- B-spline biorthogonal wavelet
- Characteristic waveform interpolation (CWI)
- Scalable variable rates wavelet transform (WT)
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