Title :
Voice compression systems for wireless telephony
Author :
Bustos, Javier ; Bassi, Alessandro
Author_Institution :
Dept. de Ciencias de la Comput., Chile Univ., Santiago
Abstract :
This paper presents a comparative study between three voice compression systems for wireless telephony: CELP (code excited linear prediction), VSELP (vector sum excited linear prediction) and GSM 06. 10 (Global Standard for Mobile communications), and one system based on artificial neural networks (ANNs). The main result is that the system based on ANNs exceeds the best current performance standard (CELP). However, its speaker dependency hinders its potential standardization
Keywords :
linear predictive coding; neural nets; performance evaluation; radiotelephony; source coding; standardisation; telecommunication computing; telecommunication standards; voice communication; CELP; GSM 06. 10; VSELP; artificial neural networks; code excited linear prediction; global standard; mobile communications; performance; speaker dependency; standardization; vector sum excited linear prediction; voice compression systems; wireless telephony; Artificial neural networks; GSM; Mathematical model; Nonlinear filters; Resonance; Shape; Signal generators; Speech; Standardization; Telephony;
Conference_Titel :
Computer Science Society, 2001. SCCC '01. Proceedings. XXI Internatinal Conference of the Chilean
Conference_Location :
Punta Arenas
Print_ISBN :
0-7695-1396-4
DOI :
10.1109/SCCC.2001.972630
