A survey on preprocessing and classification techniques for acoustic scene

Author:

Singh Vikash Kumar,Sharma KalpanaORCID,Sur Samarendra NathORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference179 articles.

1. A review of deep learning based methods for acoustic scene classification;Abeßer;Applied Sciences,2020

2. Abeßer, J., Mimilakis, S. I., Grafe, R., & Lukashevich, H. (2017). Acoustic Scene Classification By Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks. In Detection and classification of acoustic scenes and events workshop (DCASE), Munich, Germany.

3. DCASE 2019 task 2: Multitask learning, semi-supervised learning and model ensemble with noisy data for audio tagging;Akiyama,2019

4. A fusion of deep convolutional generative adversarial networks and sequence to sequence autoencoders for acoustic scene classification;Arniriparian,2018

5. SoundNet: Learning sound representations from unlabeled video;Aytar;Adv. Neural Inf. Process. Syst.29: Annu. Conf. Neural Inf. Process. Syst.,2016

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Acoustic scene classification: A comprehensive survey;Expert Systems with Applications;2024-03

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