Guaranteeing consumers a production process that respects animal welfare is one of the civil societal demands, especially for fast-growing poultry production (1). EBENE® method, developed by ITAVI, coupled with the new image and sound technologies must allow for finer and additional analysis than those carried out by man, and even better to manage health of poultry. From the video-surveillance methods/tools are proposed to measure general variations in the activity of chickens but none of them can be used to measure the animal welfare principles proposed by the OIE. One objective of the project is to demonstrate the feasibility to associate group-wide sound measurements signing the state of well-being and health of poultry en the course of a respiratory pathologies. This project (E-broiler-track) received financial support from French ministry of agriculture (CAS DAR). The project will thus lead to technical specifications that will serve as a basis for the development of an infectious diseases control tool for poultry breeders. First part of this study was to collect sound data after infectious inducted disease under experimental controlled conditions. Different protocols have evaluated welfare with EBENE® method and clinical symptoms were measured during avian infectious bronchitis (IBV). After infection, all infected chickens (30/30) for each chicken line (EOPS PA12 and ROSS 308) developed respiratory clinical signs. 100 percent of tracheal swabs were positive IBV at D4 post-infection (p.i.). Tracheal lesions of IBV (7/7 chicken after necropsy at D7 p.i.) confirmed the IBV infection, as compared to the control group. Chicken rales, coughs and sneezes have therefore been characterized and analysed using an algorithm developed here. The 2/3 of the registered sound were coughs and sneezes and 1/3 were rails in infected chickens. These initial results made possible to better characterize the pathophysiology of IBV fromm zootechnical, behavioural, acoustic and histological points of view. The acoustic approach is innovative and has made possible the development of new algorithms and sound analysis to differentiate healthy from diseased chickens. In short, this approach will aim to develop a useful tool for poultry farmers to monitor their farms. (1) Dawkins MS. Evolution and Animal Welfare. The Quaterly Review of Bilogy. 1998 ;73(3) :305 28.