Distributed and Collaborative Processing of Sound Signals

The advances experienced in the field of distributed computing and the hardware-software available for it has allowed the development of more and more powerful sound signal processing systems and whose interaction with the environment is produced by increasingly numerous sets of transducers. Typical examples are: man-machine interfaces based on sound / voice signals, sound field and auralization control systems, sound source tracking and tracking systems, telepresence systems, etc.

In the present line of investigation, the problem of the distributed and collaborative processing of sound signals is addressed. The physical, computer, signal processing, technological and energy consumption aspects are considered in distributed and collaborative scenarios. The research is directed by a set of specific applications of clear socio-economic interest and potential transference. In each of the applications, the type of relevant sound information to be exchanged between the nodes and how it will be encoded, the distributed algorithm to be used, and the type of processing that each node must perform in order for the system to be used must be studied. computationally efficient and technologically approachable