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Acoustic Scene Classification: Classifying environments from the sounds they produce
An account of the state of the art in acoustic scene classification (ASC), the task of classifying environments from the sounds they produce, and a range of different algorithms submitted for a data challenge to provide a general and fair benchmark for ASC techniques. Expand
Large-Scale Weakly Supervised Audio Classification Using Gated Convolutional Neural Network
In this paper, we present a gated convolutional neural network and a temporal attention-based localization method for audio classification, which won the 1st place in the large-scale weaklyExpand
Context-Dependent Beat Tracking of Musical Audio
A simple and efficient method for beat tracking of musical audio using a two state model that replicates the human ability of tapping in time to music at significantly reduced computational cost. Expand
Audio Inpainting
The audio inpainting framework that recovers portions of audio data distorted due to impairments such as impulsive noise, clipping, and packet loss is proposed and this approach is shown to outperform state-of-the-art and commercially available methods for audio declipping in terms of Signal-to-Noise Ratio. Expand
Best Practices for Scientific Computing
We describe a set of best practices for scientific software development, based on research and experience, that will improve scientists' productivity and the reliability of their software.
Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge
The emergence of deep learning as the most popular classification method is observed, replacing the traditional approaches based on Gaussian mixture models and support vector machines. Expand
Blind Separation of Positive Sources by Globally Convergent Gradient Search
This letter considers the task of independent component analysis when the independent sources are known to be nonnegative and well grounded, which means that they have a nonzero pdf in the region of zero, and proposes a cost function whose minimum coincides with nonnegativity and derives the gradient algorithm under the whitening constraint. Expand
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
This paper proposes pretrained audio neural networks (PANNs) trained on the large-scale AudioSet dataset, and investigates the performance and computational complexity of PANNs modeled by a variety of convolutional neural networks. Expand
Detection and classification of acoustic scenes and events: An IEEE AASP challenge
An overview of systems submitted to the public evaluation challenge on acoustic scene classification and detection of sound events within a scene as well as a detailed evaluation of the results achieved by those systems are provided. Expand
Recovery of Sparse Representations by Polytope Faces Pursuit
The proposed algorithm, which is based on the geometry of the polar polytope, is called Polytope Faces Pursuit and produces good results on examples that are known to be hard for MP, and it is faster than the interior point method for BP on the experiments presented. Expand