A neural network algorithm for enhancing delta modulation/LPC tandem connections

Author

Naylor, J.A.

Author_Institution

ITT Defense Commun. Div., San Diego, CA, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

221

Abstract

The enhancement of coded speech which has been degraded by a tandem connection between wideband and narrowband data links, specifically a delta-modulation (CVSD 16000 b/s) to linear predictive coding (LPC) (2400 b/s) link, is discussed. Speech enhancement is achieved by developing mappings from vector quantization (VQ) codebooks trained on distorted data to VQ codebooks trained on undistorted data. Two different algorithms are adapted to the problem of generating these codebooks. These algorithms are the self-organizing feature map algorithm and learning vector quantization

Keywords

computerised signal processing; decoding; delta modulation; digital communication systems; encoding; filtering and prediction theory; learning systems; neural nets; speech analysis and processing; telecommunications computing; 16 kbit/s; 2.4 kbit/s; DM; VQ codebooks; coded speech; delta modulation/LPC tandem connections; learning vector quantization; linear predictive coding; neural network algorithm; self-organizing feature map algorithm; speech enhancement; trained codebooks; wideband/narrowband data links connection; Books; Degradation; Delta modulation; Linear predictive coding; Narrowband; Neural networks; Signal generators; Speech coding; Speech enhancement; Vector quantization; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115578

Filename

115578