This paper presents research carried out within the EU FP7 EAR-IT project, which is working on the challenges of bringing acoustic sensing intelligence to large-scale indoor and outdoor wireless sensor networks, i.e. into two existing testbeds out of the EU FP7 FIRE projects SmartSantander and Hobnet. Besides the benefits by integrating machine-learning based acoustic sensing technology, the general deployment approach of the so-called Acoustic Processing Unit, an embedded device whose capabilities go beyond state-of-the-art IoT sensors, as well as the EAR-IT indoor and outdoor use cases are described. This includes hardware qualification for the applications such as energy efficiency of buildings, traffic monitoring and emergency vehicle detection and tracking outdoor as well as acoustic emergency detection for indoor environments and further, a detailed description of the individual Acoustic Processing Unit software components. Latest efforts and simulation results for acoustic source localization using audio sensing technology for wireless sensor networks are presented, indicating that a more intelligent usage of the audio modality enables a wide range of applications and services with high social and technological value.
Demand for spatially accurate high-quality sound reproduction in the audio entertainment industry is now at an entirely new level. In today’s world of immersive entertainment, sound reproduction is about more than just decibels—via the accurate localization of sound sources, performances can be immeasurably enhanced in classical concerts, operas, theatres, and every field of live entertainment. The days of two-dimensional PAs are over—a new era has arrived with 3D spatial sound and enhanced room acoustics. This paper describes a fully object-based approach to immersive sound reproduction, combining 3D positioning of audio sources and acoustic enhancement on the same unit by processing room reflections as audio objects. The algorithms combine the flexibility of traditional in-line digital reverberation devices with the quality and natural impression of a regenerative reverberation. The result of this process is a subset of discrete, early and late reverberant reflections which are convolved with the direct sound to serve as input objects for further processing. This unique object based system approach offers many advantages with respect to the traditional channel based approach. The technological principles of this approach, along with the results of successful applications throughout Europe, will be shown.
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