Title :

A comparative study between compressive sensing and conventional speech conding methods

Author(s) :

Boukhobza, Abdelkader [Auteur]
Université Hassiba Ben Bouali de Chlef [UHBC]
Hettiri, Messaoud [Auteur]
Taleb-Ahmed, Abdelmalik [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Bounoua, Abdennacer [Auteur]

Conference title :

1st International Conference on Communications, Control Systems and Signal Processing (CCSSP 2020)

City :

EL OUED

Country :

Algérie

Start date of the conference :

2020-05-16

Publisher :

IEEE

English keyword(s) :

Compressed sensing
Speech coding
Quantization (signal)
Bit rate
Signal to noise ratio
Wireless sensor networks

HAL domain(s) :

Informatique [cs]
Sciences de l'ingénieur [physics]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique

English abstract : [en]

Speech coding is an essential procedure in public switched telephone system (PSTN), digital cellular communications, videoconferencing systems, and emerging voice over Internet applications. Compressed sensing is an original ...
Show more >Speech coding is an essential procedure in public switched telephone system (PSTN), digital cellular communications, videoconferencing systems, and emerging voice over Internet applications. Compressed sensing is an original signal processing tool for efficiently acquiring and reconstructing a signal, by exploiting its compressibility. In this paper, compressive sensing is employed for speech coding. Particularly in this work and in order to demonstrate its efficiency in speech coding, we propose a comparative study between this method and optimal existing methods, namely, Code-excited linear prediction and LIoyd-Max quantization algorithm. Experimental results indicate that CS method achieve a significant improvements in performances with respect to the aforementioned methods.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL

Submission date :

2022-02-15T05:01:42Z