Sound source detection, localization and classification using consecutive ensemble of CRNN models
In this paper, we describe our method for DCASE2019 task3: Sound Event Localization and Detection (SELD). We use four CRNN SELDnet-like single output models which run in a consecutive manner to recover all possible information of occurring events. We decompose the SELD task into estimating number of active sources, estimating direction of arrival of a single source, estimating direction of arrival of the second source where the direction of the first one is known and a multi-label classification task. We use custom consecutive ensemble to predict events' onset, offset, direction of arrival and class. The proposed approach is evaluated on the TAU Spatial Sound Events 2019 - Ambisonic and it is compared with other participants' submissions.
Code (0)
등록된 구현이 없습니다.
Tasks
General ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONSound Event Localization and DetectionSimilar Papers 제목 키워드 기반
MVANet: Multi-Stage Video Attention Network for Sound Event Localization and Detection with Source Distance Estimation
Sound event localization and detection with source distance estimation (3D SELD) involves not only identifying the sound category and its direction-of-arrival (DOA) but also predicting the source's distance, aiming to pr…
Data AugmentationSound Event Localization and DetectionFeature Aggregation in Joint Sound Classification and Localization Neural Networks
This study addresses the application of deep learning techniques in joint sound signal classification and localization networks. Current state-of-the-art sound source localization deep learning networks lack feature aggr…
regressionSound ClassificationSound Event Localization and DetectionSound Source LocalizationDeep Neural Networks for Multiple Speaker Detection and Localization
We propose to use neural networks for simultaneous detection and localization of multiple sound sources in human-robot interaction. In contrast to conventional signal processing techniques, neural network-based sound sou…
Sound Source LocalizationSound event localization and classification using WASN in Outdoor Environment
Deep learning-based sound event localization and classification is an emerging research area within wireless acoustic sensor networks. However, current methods for sound event localization and classification typically re…
ClassificationSound Source LocalizationCoLoC: Conditioned Localizer and Classifier for Sound Event Localization and Detection
In this article, we describe Conditioned Localizer and Classifier (CoLoC) which is a novel solution for Sound Event Localization and Detection (SELD). The solution constitutes of two stages: the localization is done firs…
Sound Event Localization and Detection