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

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楼主: Entangle
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Laura Murray,Deanna Kerrigan,Vera PaivaWe then describe modern deep learning architectures, including convolutional networks, different variants of recurrent neural networks, and hybrid models. Finally, we survey model-agnostic techniques for improving the stability of classifiers.
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William G. Faris,Giovanni Jona-Lasinioand how a combination of convolutional networks and data augmentation result in the current state of the art. We close with a discussion about the potential and challenges of mobile sensing, the limitations imposed by the data currently available for research, and a few areas for future exploration.
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Sound Analysis in Smart Citiesand how a combination of convolutional networks and data augmentation result in the current state of the art. We close with a discussion about the potential and challenges of mobile sensing, the limitations imposed by the data currently available for research, and a few areas for future exploration.
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https://doi.org/10.1007/978-1-4419-9834-7level presentation of generic methods that are particularly relevant in the context of multiview and multimodal sound scene analysis. Then, we more specifically present a selection of techniques used for audiovisual event detection and microphone array-based scene analysis.
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