Abstract
This paper proposes an efficient codebook design for tree-structured vector quantization (TSVQ) that 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. A fast search encoding algorithm using multistage tree-structured vector quantization (MTVQ) is proposed for quantization of LSF’s. The proposed method is compared to the multipath sequential tree-assisted search (MSTS) and to the well known multipath sequential search (MSS) or M-L search algorithms.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.