8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

Efficient Vector Quantisation of Line Spectral Frequencies Using the Switched Split Vector Quantiser

Stephen So, Kuldip K. Paliwal

Griffith University, Australia

In this paper, we investigate the use of a switched split vector quantiser (SSVQ) for coding linear predictive coding (LPC) parameters. The SSVQ is applied to quantise the LPC parameters in terms of line spectral frequencies from the TIMIT database and its performance is compared with the split vector quantiser. Experimental results show that the SSVQ provides a better trade-off between bit-rate and distortion performance than the split VQ. In addition, the SSVQ has a lower computational (search) complexity than the split VQ, though this is attained at the expense of an increase in memory requirements. In order to achieve a spectral distortion of 1 dB, the three-part SSVQ with an 8 directional switch requires 23 bits/frame, 4.41 kflops/frame of computations and 8272 floats of memory, while the corresponding values for a traditional three-part split VQ are 25 bits/frame, 13.3 kflops/frame and 3328 floats, respectively.

Full Paper

Bibliographic reference.  So, Stephen / Paliwal, Kuldip K. (2004): "Efficient vector quantisation of line spectral frequencies using the switched split vector quantiser", In INTERSPEECH-2004, 2641-2644.