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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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11#
發(fā)表于 2025-3-23 13:31:05 | 只看該作者
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.
12#
發(fā)表于 2025-3-23 16:53:39 | 只看該作者
13#
發(fā)表于 2025-3-23 20:37:09 | 只看該作者
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.
14#
發(fā)表于 2025-3-24 00:52:08 | 只看該作者
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發(fā)表于 2025-3-24 04:43:10 | 只看該作者
16#
發(fā)表于 2025-3-24 08:55:38 | 只看該作者
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.
17#
發(fā)表于 2025-3-24 14:26:46 | 只看該作者
18#
發(fā)表于 2025-3-24 18:33:23 | 只看該作者
19#
發(fā)表于 2025-3-24 22:38:36 | 只看該作者
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.
20#
發(fā)表于 2025-3-24 23:24:16 | 只看該作者
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