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ORCID1st DCASE 2016, Budapest, Hungary
- Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, Mark D. Plumbley, Peter Foster, Emmanouil Benetos, Mathieu Lagrange:
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2016, Budapest, Hungary, September 3, 2016. 2016, ISBN 978-952-15-3807-0 - Sharath Adavanne, Giambattista Parascandolo, Pasi Pertilä, Toni Heittola, Tuomas Virtanen:
Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features. 6-10 - Soo Hyun Bae, In Kyu Choi, Nam Soo Kim:
Acoustic Scene Classification Using Parallel Combination of LSTM and CNN. 11-15 - In Kyu Choi, Kisoo Kwon, Soo Hyun Bae, Nam Soo Kim:
DNN-Based Sound Event Detection with Exemplar-Based Approach for Noise Reduction. 16-19 - Benjamin Elizalde, Anurag Kumar, Ankit Shah, Rohan Badlani, Emmanuel Vincent, Bhiksha Raj, Ian R. Lane:
Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording. 20-24 - Panagiotis Giannoulis, Gerasimos Potamianos, Petros Maragos, Athanasios Katsamanis:
Improved Dictionary Selection and Detection Schemes in Sparse-CNMF-Based Overlapping Acoustic Event Detection. 25-29 - Juana M. Gutiérrez-Arriola, Rubén Fraile, Alexander Camacho, Thibaut Durand, Jaime L. Jarrín, Shirley R. Mendoza:
Synthetic Sound Event Detection based on MFCC. 30-34 - Tomoki Hayashi, Shinji Watanabe, Tomoki Toda, Takaaki Hori, Jonathan Le Roux, Kazuya Takeda:
Bidirectional LSTM-HMM Hybrid System for Polyphonic Sound Event Detection. 35-39 - Jean-Remy Gloaguen, Arnaud Can, Mathieu Lagrange, Jean-François Petiot:
Estimating Traffic Noise Levels Using Acoustic Monitoring a Preliminary Study. 40-44 - Tatsuya Komatsu, Takahiro Toizumi, Reishi Kondo, Yuzo Senda:
Acoustic Event Detection Method Using Semi-Supervised Non-Negative Matrix Factorization with Mixtures of Local Dictionaries. 45-49 - Qiuqiang Kong, Iwona Sobieraj, Wenwu Wang, Mark D. Plumbley:
Deep Neural Network Baseline for DCASE Challenge 2016. 50-54 - Julian Kürby, Rene Grzeszick, Axel Plinge, Gernot A. Fink:
Bag-of-Features Acoustic Event Detection for Sensor Networks. 55-59 - Thomas Lidy, Alexander Schindler:
CQT-based Convolutional Neural Networks for Audio Scene Classification. 60-64 - Erik Marchi, Dario Tonelli, Xinzhou Xu, Fabien Ringeval, Jun Deng, Stefano Squartini, Björn W. Schuller:
Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification. 65-69 - Niko Moritz, Jens Schröder, Stefan Goetze, Jörn Anemüller, Birger Kollmeier:
Acoustic Scene Classification using Time-Delay Neural Networks and Amplitude Modulation Filter Bank Features. 70-74 - Angelos Pillos, Khalid Alghamidi, Noura Alzamel, Veselin Pavlov, Swetha Machanavajhala:
A Real-Time Environmental Sound Recognition System for the Android OS. 75-79 - Jens Schröder, Jörn Anemüller, Stefan Goetze:
Performance comparison of GMM, HMM and DNN based approaches for acoustic event detection within Task 3 of the DCASE 2016 challenge. 80-84 - Gustavo Sena Mafra, Ngoc Q. K. Duong, Alexey Ozerov, Patrick Pérez:
Acoustic Scene Classification: An evaluation of an extremely compact feature representation. 85-89 - Iwona Sobieraj, Mark D. Plumbley:
Coupled Sparse NMF vs. Random Forest Classification for Real Life Acoustic Event Detection. 90-94 - Michele Valenti, Aleksandr Diment, Giambattista Parascandolo, Stefano Squartini, Tuomas Virtanen:
DCASE 2016 Acoustic Scene Classification Using Convolutional Neural Networks. 95-99 - Rafael Valle:
ABROA: Audio-Based Room-Occupancy Analysis Using Gaussian Mixtures and Hidden Markov Models. 100-104 - Yong Xu, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Hierarchical Learning for DNN-Based Acoustic Scene Classification. 110-114 - Yong Xu, Qiang Huang, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley:
Fully DNN-Based Multi-Label Regression for Audio Tagging. 105-109 - Matthias Zöhrer, Franz Pernkopf:
Gated Recurrent Networks applied to Acoustic Scene Classification. 115-119
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