Titlebook: Computational Analysis of Sound Scenes and Events; Tuomas Virtanen,Mark D. Plumbley,Dan Ellis Book 2018 Springer International Publishing

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Sound Sharing and Retrieval sharing sites in which users can search, browse, and contribute large amounts of audio content such as sound effects, field and urban recordings, music tracks, and music samples. This poses many challenges to enable search, discovery, and ultimately reuse of this content. In this chapter we give an

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Sound Analysis in Smart Citieswide range of applications for the computational analysis of urban sounds and focuses on two high-impact areas, audio surveillance, and noise pollution monitoring, which sit at the intersection of dense sensor networks and machine listening. For sensor networks we focus on the pros and cons of mobil

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Peter Kraemer,Claus-Peter Fritzenovel methods have been proposed to analyze this information automatically, and several new applications have emerged. This chapter introduces the basic concepts and research problems and engineering challenges in computational environmental sound analysis. We motivate the field by briefly describing

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https://doi.org/10.1007/978-3-319-69305-7 applications seem different, the underlying computational methods are typically based on the same principles. We explain the commonalities between analysis tasks such as sound event detection, sound scene classification, or audio tagging. We focus on the machine learning approach, where the sound c

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https://doi.org/10.1007/978-3-319-69305-7coustic information reaching the listeners’ ears. Despite the complexity of the signal, human listeners . effortlessly these scenes into different .. This chapter provides an overview of the auditory mechanisms subserving this ability. First, we briefly introduce the major characteristics of sound p

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