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Greatest papers with code

A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification

19 Jun 2018edufonseca/icassp19

In this paper, we propose a system that consists of a simple fusion of two methods of the aforementioned types: a deep learning approach where log-scaled mel-spectrograms are input to a convolutional neural network, and a feature engineering approach, where a collection of hand-crafted features is input to a gradient boosting machine.

ACOUSTIC SCENE CLASSIFICATION FEATURE ENGINEERING SCENE CLASSIFICATION

Training neural audio classifiers with few data

24 Oct 2018jordipons/neural-classifiers-with-few-audio

We investigate supervised learning strategies that improve the training of neural network audio classifiers on small annotated collections.

ACOUSTIC SCENE CLASSIFICATION SCENE CLASSIFICATION TRANSFER LEARNING

Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs

28 Oct 2019kkoutini/cpjku_dcase19

We present CP-JKU submission to MediaEval 2019; a Receptive Field-(RF)-regularized and Frequency-Aware CNN approach for tagging music with emotion/mood labels.

ACOUSTIC SCENE CLASSIFICATION SCENE CLASSIFICATION

Receptive-field-regularized CNN variants for acoustic scene classification

5 Sep 2019kkoutini/cpjku_dcase19

One side effect of restricting the RF of CNNs is that more frequency information is lost.

ACOUSTIC SCENE CLASSIFICATION SCENE CLASSIFICATION

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

3 Jul 2019kkoutini/cpjku_dcase19

To this end, we analyse the receptive field (RF) of these CNNs and demonstrate the importance of the RF to the generalization capability of the models.

ACOUSTIC SCENE CLASSIFICATION SCENE CLASSIFICATION

A Two-Stage Approach to Device-Robust Acoustic Scene Classification

3 Nov 2020MihawkHu/DCASE2020_task1

To improve device robustness, a highly desirable key feature of a competitive data-driven acoustic scene classification (ASC) system, a novel two-stage system based on fully convolutional neural networks (CNNs) is proposed.

ACOUSTIC SCENE CLASSIFICATION DATA AUGMENTATION SCENE CLASSIFICATION

Unsupervised adversarial domain adaptation for acoustic scene classification

17 Aug 2018shayangharib/AUDASC

A general problem in acoustic scene classification task is the mismatched conditions between training and testing data, which significantly reduces the performance of the developed methods on classification accuracy.

ACOUSTIC SCENE CLASSIFICATION DOMAIN ADAPTATION SCENE CLASSIFICATION

SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks

3 Mar 2020giusenso/seld-tcn

The understanding of the surrounding environment plays a critical role in autonomous robotic systems, such as self-driving cars.

ACOUSTIC SCENE CLASSIFICATION SELF-DRIVING CARS SOUND EVENT DETECTION