Digital Coding Of Speech Algorithms And Architectures

A. Z. Baraniecki

doi:10.1117/12.968267

1 January 1987 Digital Coding Of Speech Algorithms And Architectures

A. Z. Baraniecki

Proceedings Volume 0858, Signal Acquisition and Processing; (1987) https://doi.org/10.1117/12.968267
Event: IECON, Cambridge, 1987, Cambridge, MA, United States

Abstract

This paper describes several algorithms and architectures of digital speech coders. Bit rate compression algorithms based on speech prediction are analyzed for applications such as mobile radio communications, secure voice transmission, voice mail, and voice storage and response systems. The architectures for sample-by-sample or block-by-block processing of speech are discussed. The details of architectures are discussed in a conceptual framework that simplifies the comparison of several implementations of vocoders and the identification of common blocks. Examples of implementation of predictive speech coding algorithms on the TMS320 digital signal processor are presented in this paper. Various predictor structures including new, non-classical, reduced complexity adaptive predictor are presented. Current research trends with an emphasis on low-bit-rate, high-quality speech coding are described.

Citation Download Citation

A. Z. Baraniecki "Digital Coding Of Speech Algorithms And Architectures", Proc. SPIE 0858, Signal Acquisition and Processing, (1 January 1987); https://doi.org/10.1117/12.968267

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available