An efficient tree-structured codebook design for embedded vector quantization

This paper proposes an efficient codebook design for tree-structured vector quantization (TSVQ), which is embedded in nature. We modify two speech coding standards by replacing their original quantizers for line spectral frequencies (LSF´s) and/or Fourier magnitudes quantization with TSVQ-based quantizers. The modified coders are fine-granular bit-rate scalable with gradual change in quality for the synthetic speech.