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TUT database for acoustic scene classification and sound event detection
TLDR
We introduce TUT Acoustic Scenes 2016 database for environmental sound research, consisting of binaural recordings from 15 different acoustic environments. Expand
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DCASE 2017 Challenge setup: Tasks, datasets and baseline system
TLDR
DCASE 2017 Challenge consists of four tasks: acoustic scene classification , detection of rare sound events, sound event detection in real-life audio, and large-scale weakly supervised sound event Detection for smart cars. Expand
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Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
TLDR
We combine CNN and RNN in a convolutional recurrent neural network (CRNN) and apply it on a polyphonic SED task. Expand
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Metrics for Polyphonic Sound Event Detection
TLDR
This paper presents and discusses various metrics proposed for evaluation of polyphonic sound event detection systems used in realistic situations where there are typically multiple sound sources active simultaneously. Expand
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A multi-device dataset for urban acoustic scene classification
TLDR
This paper introduces the acoustic scene classification task of DCASE 2018 Challenge and the TUT Urban Acoustic Scenes 2018 dataset provided for the task, and evaluates the performance of a baseline system in the task. Expand
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Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge
TLDR
Public evaluation campaigns and datasets promote active development in target research areas, allowing direct comparison of algorithms. Expand
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Polyphonic sound event detection using multi label deep neural networks
TLDR
In this paper, the use of multi label neural networks are proposed for detection of temporally overlapping sound events in realistic environments. Expand
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Musical Instrument Recognition in Polyphonic Audio Using Source-Filter Model for Sound Separation
TLDR
This paper proposes a novel approach to musical instrument recognition in polyphonic audio signals by using a source-filter model and an augmented non-negative matrix factorization algorithm for sound separation. Expand
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Context-dependent sound event detection
TLDR
We propose a new method for automatic sound event detection using context-dependent acoustic models and count-based event priors. Expand
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Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features
TLDR
We propose the use of spatial and harmonic features in combination with long short term memory (LSTM) recurrent neural network (RNN) for automatic sound event detection (SED) task. Expand
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