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Acoustic events are a rich source of information for context-awareness and support various application areas, such as audio surveillance [1], sound sensing [2], intelligent auditory interfaces [3] and speech localization [4]. Acoustic localization solutions are also increasingly becoming important and feasible due to recent advances in personal portable computing devices (e.g. smart phones, PDAs and laptops), where rapidly deployable distributed fine-grain acoustic localization systems can help to locate mobile users and devices for using in location-aware interfaces and applications. However, while a number of acoustic localization systems have been proposed over the last few decades, these generally require the use of expensive dedicated microphone arrays and have been developed only for a single or limited number of acoustic events, tailored to specific scenarios. Many different types of acoustic events exist in our everyday environments, hence, in this work we address the general problem of how to localize multiple classes of acoustic events in a distributed sensor environment. We propose a framework for detecting and locating events (e.g., speech, clicks, footsteps, or the sound of an object put down on a table) according to generic acoustic characteristics and present a preliminary evaluation.