Abstract
This paper presents a waveform speech coding system based on vector transform quantization (VTQ). VTQ is a coding system where consecutive M samples of a waveform are transformed into a set of coefficients which are quantized by a set of m < M vector quantizers (VQs). A coding gain higher than for the known scalar transform coding systems is achieved by employing vector quantization rather than the usual scalar quantization. Moreover, a bit allocation closer to the optimal one may be achieved by vector quantizers as a result of improved round‐off conditions. Assuming stationary input, the optimal bit allocation for the vector case is derived, and the coding gain achieved by such a system is evaluated. Techniques for adapting the bit assignment to the changing speech statistics are presented. These techniques are specific for the vector quantization approach and achieve adaptation along time and frequency axes. System simulation results are presented for typical speech waveforms at rates of 1–2 bits/sample.
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.