Technical program

Acoustic Scene and Events Recognition: How Similar is it to Speech Recognition and Music Genre Recognition?

Gaël Richard

Télécom ParisTech

DCASE challenge: Philosophy, tasks and results

Mark D. Plumbley¹, Tuomas Virtanen²

¹ University of Surrey, United Kingdom ² Tampere University of Technology, Finland

Bag-of-Features Acoustic Event Detection for Sensor Networks

Julian Kürby, Rene Grzeszick, Axel Plinge, Gernot A. Fink

TU Dortmund University, Germany

Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording

Benjamin Elizalde¹, Anurag Kumar¹, Ankit Shah², Rohan Badlani⁴, Emmanuel Vincent³, Bhiksha Raj¹, Ian Lane¹

¹Carnegie Mellon University, USA ²National Institute of Technology Karnataka Surathkal ³Inria, France ⁴Birla Institute of Technology and Science

Fully DNN-Based Multi-Label Regression for Audio Tagging

Yong Xu, Qiang Huang, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley

University of Surrey, United Kingdom

Acoustic Event Detection Method Using Semi-Supervised Non-Negative Matrix Factorization with Mixtures of Local Dictionaries

Tatsuya Komatsu, Takahiro Toizumi, Reishi Kondo, Yuzo Senda

NEC Corporation, Japan

DCASE 2016 Acoustic Scene Classification Using Convolutional Neural Networks

Michele Valenti¹, Aleksandr Diment², Giambattista Parascandolo², Stefano Squartini¹, Tuomas Virtanen²

¹Marche Polytechnic University, Italy ²Tampere University of Technology, Finland

Audio Event Recognition: Pathways to Impact

Sacha Krstulović

Audio Analytic

Gated Recurrent Networks applied to Acoustic Scene Classification

Matthias Zöhrer, Franz Pernkopf

Graz University of Technology, Austria

Bidirectional LSTM-HMM Hybrid System for Polyphonic Sound Event Detection

Tomoki Hayashi¹, Shinji Watanabe², Tomoki Toda¹, Takaaki Hori², Jonathan Le Roux², Kazuya Takeda¹

¹Nagoya University, Japan ²Mitsubishi Electric Research Laboratories, USA

DNN-Based Sound Event Detection with Exemplar-Based Approach for Noise Reduction

Inkyu Choi, Kisoo Kwon, Soo Hyun Bae, Nam Soo Kim

Seoul National University, South Korea

Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features

Sharath Adavanne, Giambattista Parascandolo, Pasi Pertilä, Toni Heittola, Tuomas Virtanen

Tampere University of Technology, Finland

Synthetic Sound Event Detection based on MFCC

Juana M. Gutiérrez-Arriola, Rubén Fraile, Alexander Camacho, Thibaut Durand, Jaime L. Jarrín, Shirley R. Mendoza

Universidad Politécnica de Madrid, Spain

Hierarchical Learning for DNN-Based Acoustic Scene Classification

Yong Xu, Qiang Huang, Wenwu Wang, Mark D. Plumbley

University of Surrey, United Kingdom

Acoustic Scene Classification: An evaluation of an extremely compact feature representation

Gustavo Sena Mafra¹, Ngoc Q. K. Duong², Alexey Ozerov², Patrick Perez²

¹Universidade Federal de Santa Catarina, Brazil ²Technicolor, France

Estimating traffic noise levels using acoustic monitoring a preliminary study

Gloaguen Jean-Rémy¹, Can Arnaud¹, Lagrange Mathieu², Petiot Jean-François²

¹Ifsttar - LAE, France ²Irccyn, France

Deep Neural Network Baseline for DCASE Challenge 2016

Qiuqiang Kong, Iwona Sobieraj, Wenwu Wang, Mark Plumbley

Surrey University, United Kingdom

Performance comparison of GMM, HMM and DNN based approaches for acoustic event detection within Task 3 of the DCASE 2016 challenge

Jens Schröder¹, Jörn Anemüller², Stefan Goetze¹

¹Fraunhofer IDMT, Germany ²University of Oldenburg, Germany

Acoustic Scene Classification using Time-Delay Neural Networks and Amplitude Modulation Filter Bank Features

Niko Moritz^1,3, Jens Schröder^1,3, Stefan Goetze^1,3, Jörn Anemüller^2,3, Birger Kollmeier^1,2,3

¹Fraunhofer IDMT-HSA, Germany ²University of Oldenburg, Germany ³Cluster of Excellence "Hearing4all", Germany

CQT-based Convolutional Neural Networks for Audio Scene Classification

Thomas Lidy¹, Alexander Schindler²

¹Vienna University of Technology, Austria ²Austrian Institute of Technology, Austria

A Real-Time Environmental Sound Recognition System for the Android OS

Angelos Pillos¹, Khalid Alghamidi¹, Nora Alzamel¹, Veselin Pavlov¹, Swetha Machanavajhala²

¹University College London, United Kingdom ²Microsoft Corp, USA

Coupled Sparse NMF vs. Random Forest Classification for Real Life Acoustic Event Detection

Iwona Sobieraj, Mark D. Plumbley

University of Surrey, United Kingdom

Acoustic Scene Classification Using Parallel Combination of LSTM and CNN

Soo Hyun Bae, Inkyu Choi, Nam Soo Kim

Seoul National University, South Korea

Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification

Erik Marchi^1,3, Dario Tonelli², Xinzhou Xu¹, Fabien Ringeval^1,3, Jun Deng¹, Stefano Squartini², Bjoern Schuller^1,3,4

¹University of Passau, Germany ²Universita Politecnica delle Marche, Italy ³audEERING GmbH, Germany ⁴Imperial College London, United Kingdom

Improved Dictionary Selection and Detection Schemes in Sparse-CNMF-Based Overlapping Acoustic Event Detection

Panagiotis Giannoulis^1,3, Gerasimos Potamianos^2,3, Petros Maragos^1,3, Athanasios Katsamanis^1,3

¹National Technical University of Athens, Greece ²University of Thessaly, Greece ³Athena Research and Innovation Center, Greece

DCASE2016 Challenge Results

Annamaria Mesaros¹, Toni Heittola¹, Tuomas Virtanen¹, Emmanouil Benetos², Mathieu Lagrange³, Grégoire Lafay³, Peter Foster², Mark D. Plumbley⁴

¹Tampere University of Technology, Finland ²Queen Mary University of London, United Kingdom ³IRCCYN, France ⁴University of Surrey, United Kingdom

Gaël Richard¹, Sacha Krstulović², Jürgen Geiger³, and Stefan Goetze⁴

¹ Télécom ParisTech, France ² Audio Analytic ³ Huawei Technologies ⁴ Fraunhofer IDMT

Moderator: Mark Plumbley