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ORCIDDCASE 2017, Munich, Germany
- Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, Aleksandr Diment, Emmanuel Vincent, Emmanouil Benetos, Benjamin Elizalde:
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2017, Munich, Germany, November 16-17, 2017. 2017, ISBN 978-952-15-4042-4 - Jakob Abeßer, Stylianos Ioannis Mimilakis, Robert Gräfe, Hanna M. Lukashevich:
Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks. 7-11 - Sharath Adavanne, Tuomas Virtanen:
Sound Event Detection Using Weakly Labeled Dataset with Stacked Convolutional and Recurrent Neural Network. 12-16 - Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller:
Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. 17-21 - Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Nonnegative Feature Learning Methods for Acoustic Scene Classification. 22-26 - Emre Cakir, Tuomas Virtanen:
Convolutional Recurrent Neural Networks for Rare Sound Event Detection. 27-31 - Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Bertold Van den Bergh, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, Peter Karsmakers:
The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network. 32-36 - Eduardo Fonseca, Rong Gong, Dmitry Bogdanov, Olga Slizovskaia, Emilia Gómez, Xavier Serra:
Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. 37-41 - Marc C. Green, Damian T. Murphy:
Acoustic Scene Classification Using Spatial Features. 42-45 - Yoonchang Han, Jeongsoo Park:
Convolutional Neural Networks with Binaural Representations and Background Subtraction for Acoustic Scene Classification. 46-50 - Il-Young Jeong, Subin Lee, Yoonchang Han, Kyogu Lee:
Audio Event Detection Using Multiple-Input Convolutional Neural Network. 51-54 - Abelino Jimenez, Benjamin Elizalde, Bhiksha Raj:
DCASE 2017 Task 1: Acoustic Scene Classification Using Shift-Invariant Kernels and Random Features. 55-58 - Jee-Weon Jung, Hee-Soo Heo, Il-Ho Yang, Sung-Hyun Yoon, Hye-Jin Shim, Ha-Jin Yu:
DNN-Based Audio Scene Classification for DCASE2017: Dual Input Features, Balancing Cost, and Stochastic Data Duplication. 59-63 - Christian Kroos, Mark D. Plumbley:
Neuroevolution for Sound Event Detection in Real Life Audio: A Pilot Study. 64-68 - Jongpil Lee, Jiyoung Park, Sangeun Kum, Youngho Jeong, Juhan Nam:
Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection. 69-73 - Donmoon Lee, Subin Lee, Yoonchang Han, Kyogu Lee:
Ensemble of Convolutional Neural Networks for Weakly-supervised Sound Event Detection Using Multiple Scale Input. 74-79 - Hyungui Lim, Jeong-Soo Park, Yoonchang Han:
Rare Sound Event Detection Using 1D Convolutional Recurrent Neural Networks. 80-84 - Annamaria Mesaros, Toni Heittola, Aleksandr Diment, Benjamin Elizalde, Ankit Shah, Emmanuel Vincent, Bhiksha Raj, Tuomas Virtanen:
DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System. 85-92 - Seongkyu Mun, Sangwook Park, David K. Han, Hanseok Ko:
Generative Adversarial Network Based Acoustic Scene Training Set Augmentation and Selection Using SVM Hyper-Plane. 93-102 - Sangwook Park, Seongkyu Mun, Younglo Lee, Hanseok Ko:
Acoustic Scene Classification Based on Convolutional Neural Network Using Double Image Features. 98-102 - Karol J. Piczak:
The Details That Matter: Frequency Resolution of Spectrograms in Acoustic Scene Classification. 103-107 - Kun Qian, Zhao Ren, Vedhas Pandit, Zijiang Yang, Zixing Zhang, Björn W. Schuller:
Wavelets Revisited for the Classification of Acoustic Scenes. 108-112 - Zhao Ren, Vedhas Pandit, Kun Qian, Zijiang Yang, Zixing Zhang, Björn W. Schuller:
Deep Sequential Image Features on Acoustic Scene Classification. 113-117 - Alexander Schindler, Thomas Lidy, Andreas Rauber:
Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification. 118-122 - Anastasios Vafeiadis, Dimitrios Kalatzis, Konstantinos Votis, Dimitrios Giakoumis, Dimitrios Tzovaras, Liming Chen, Raouf Hamzaoui:
Acoustic Scene Classification: From a Hybrid Classifier to Deep Learning. 123-127 - Wang Kaiwu, Liping Yang, Yang Bin:
Audio Events Detection and classification using extended R-FCN Approach. 128-132 - Weiping Zheng, Yi Jiantao, Xiaotao Xing, Xiangtao Liu, Shao-Hu Peng:
Acoustic Scene Classification Using Deep Convolutional Neural Network and Multiple Spectrograms Fusion. 133-137 - Qing Zhou, Zuren Feng:
Robust Sound Event Detection Through Noise Estimation and Source Separation Using NMF. 138-142
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