Paper data
Title:
Comparing scalar and Zn lattice based encoding of wavelet coefficients in sinusoidal plus wavelet packet coding
Author(s):
Fék Márk, Budapest University of Technology and Economics
Várkonyi-Kóczy Annamária Rita, Budapest University of Technology and Economics
Boucher Jean-Marc, ENST de Bretagne
Page numbers in the proceedings:
Volume I pp 401-404
Session:
Sound Synthesis and Propagation
Comparing scalar and Zn lattice based encoding of wavelet coefficients in sinusoidal plus wavelet packet coding
Author(s):
Fék Márk, Budapest University of Technology and Economics
Várkonyi-Kóczy Annamária Rita, Budapest University of Technology and Economics
Boucher Jean-Marc, ENST de Bretagne
Page numbers in the proceedings:
Volume I pp 401-404
Session:
Sound Synthesis and Propagation
Paper abstract
We have recently proposed a combined sinusoidal and Wavelet Packet Transform (WPT) codec for joint speech and audio coding. In this paper, we compare the performance of scalar and Zn lattice based encoding of the WPT coefficients. The quantization of the WPT coefficients are determined by a psychoacoustic masking model, and it is identical in both cases. The audio quality remains the same for the scalar and the Zn lattice based encoding, as only the encoding of the quantized WPT coefficients is changed. The mean bit rate of the coder (depending on the encoded signal) was reduced from 62-32kbps to 54-30kbps by applying the Zn lattice based coding. Demonstration sound files are available at www-sc.enst-bretagne.fr/~fek/demo/.
Paper
