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Sun, Jianyuan; Liu, Xubo; Mei, Xinhao; Zhao, Jinzheng; Plumbley, Mark D.; Kilic, Volkan; Wang, Wenwu
{ "URL": "https://aperta.ulakbim.gov.tr/record/259607", "abstract": "Acoustic scene classification (ASC) aims to classify an audio clip based on the characteristic of the recording environment. In this regard, deep learning based approaches have emerged as a useful tool for ASC problems. Conventional approaches to improving the classification accuracy include integrating auxiliary methods such as attention mechanism, pre-trained models and ensemble multiple sub-networks. However, due to the complexity of audio clips captured from different environments, it is difficult to distinguish their categories without using any auxiliary methods for existing deep learning models using only a single classifier. In this paper, we propose a novel approach for ASC using deep neural decision forest (DNDF). DNDF combines a fixed number of convolutional layers and a decision forest as the final classifier. The decision forest consists of a fixed number of decision tree classifiers, which have been shown to offer better classification performance than a single classifier in some datasets. In particular, the decision forest differs substantially from traditional random forests as it is stochastic, differentiable, and capable of using the back-propagation to update and learn feature representations in neural network. Experimental results on the DCASE2019 and ESC-50 datasets demonstrate that our proposed DNDF method improves the ASC performance in terms of classification accuracy and shows competitive performance as compared with state-of-the-art baselines.", "author": [ { "family": "Sun", "given": " Jianyuan" }, { "family": "Liu", "given": " Xubo" }, { "family": "Mei", "given": " Xinhao" }, { "family": "Zhao", "given": " Jinzheng" }, { "family": "Plumbley", "given": " Mark D." }, { "family": "Kilic", "given": " Volkan" }, { "family": "Wang", "given": " Wenwu" } ], "id": "259607", "issued": { "date-parts": [ [ 2022, 1, 1 ] ] }, "title": "Deep Neural Decision Forest for Acoustic Scene Classification", "type": "paper-conference" }
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