LPC real-time speech transmission over 802.15.4

Author

Scavongelli, Cristiano ; Bonfigli, Roberto ; Donati, D. ; Montali, E. ; Conti, Marco

Author_Institution

Dipt. di Ing. dell´Inf., Univ. Politec. delle Marche, Ancona, Italy

fYear

2013

fDate

10-11 Sept. 2013

Firstpage

1

Lastpage

6

Abstract

The IEEE 802.15.4 is one of the most used protocols for wireless sensor networks requiring long battery life and low data-rate, and it has been used for the most different applications. Nevertheless, few works address the audio transmission over 802.15.4. This paper focuses on the implementation of a vocal audio transmission over a 802.15.4 network. Due to the low data-rate provided by the protocol, the speech has been compressed using a Linear Predictive Coding (LPC) technique, which ensures a fair trade-off between quality and compression ratio. This paper contains a detailed analysis of the LPC vocoder parameters optimization and a simulation of the network using SystemC, with a particular attention on the quality of the compressed speech. The LPC vocoder has been implemented using Matlab and its quality has been measured using the PESQ algorithm.

Keywords

Zigbee; data compression; linear predictive coding; protocols; speech coding; vocoders; wireless sensor networks; IEEE 802.15.4; LPC real-time speech transmission; LPC technique; LPC vocoder parameters optimization; Matlab; PESQ algorithm; SystemC; compression ratio; linear predictive coding technique; long battery life; network simulation; protocols; speech compression; vocal audio transmission; wireless sensor networks; Filtering algorithms; IEEE 802.15 Standards; IIR filters; Mathematical model; Peer-to-peer computing; Speech; Vocoders; 802.15.4; LPC Real-Time; SystemC; speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Solutions in Embedded Systems (WISES), 2013 Proceedings of the 11th Workshop on

Conference_Location

Pilsen

Type

conf

Filename

6664956