By Topic

Polar plane blockquantization of speech signals using bit-pattern matching techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Gethoffer, H. ; Technische Hochschule Darmstadt, Federal Republic of Germany

Fourier Transformation and blockquantization offers a good tool for decorrelation and data compression of speech signals as well as for correlated random processes. Polar plane quantization versus cartesian quantization is presented and the objective and subjective performance is discussed according to the effects of introducing phase errors. The theoretical and practical limits for voiced and unvoiced segmentation using two distinct bit patterns in blockquantization are outlined. Useful constraints for implementing a transform encoder on a fast digital signal processor are derived with computer simulations, demonstrating high speech qualities for data rates downto 8-16 kbit/s .

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '77.  (Volume:2 )

Date of Conference:

May 1977