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A comprehensive review of polyphonic sound event detection
One of the most amazing functions of the human auditory system is the ability to detect all
kinds of sound events in the environment. With the technologies and hardware advances …
kinds of sound events in the environment. With the technologies and hardware advances …
Sound event localization and detection of overlap** sources using convolutional recurrent neural networks
In this paper, we propose a convolutional recurrent neural network for joint sound event
localization and detection (SELD) of multiple overlap** sound events in three-dimensional …
localization and detection (SELD) of multiple overlap** sound events in three-dimensional …
Exploring current research trends in sound event detection: a systematic literature review
S Mohmmad, SK Sanampudi - Multimedia Tools and Applications, 2024 - Springer
Abstract Sound Event Detection (SED) plays a significant role in the present research,
implemented in several areas such as Computer Science, Healthcare, Environmental …
implemented in several areas such as Computer Science, Healthcare, Environmental …
What's all the fuss about free universal sound separation data?
We introduce the Free Universal Sound Separation (FUSS) dataset, a new corpus for
experiments in separating mixtures of an unknown number of sounds from an open domain …
experiments in separating mixtures of an unknown number of sounds from an open domain …
L3DAS22 challenge: Learning 3D audio sources in a real office environment
E Guizzo, C Marinoni, M Pennese… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
The L3DAS22 Challenge is aimed at encouraging the development of machine learning
strategies for 3D speech enhancement and 3D sound localization and detection in office-like …
strategies for 3D speech enhancement and 3D sound localization and detection in office-like …
Multi-channel spectrograms for speech processing applications using deep learning methods
Time–frequency representations of the speech signals provide dynamic information about
how the frequency component changes with time. In order to process this information, deep …
how the frequency component changes with time. In order to process this information, deep …
SELD-TCN: Sound event localization & detection via temporal convolutional networks
The understanding of the surrounding environment plays a critical role in autonomous
robotic systems, such as self-driving cars. Extensive research has been carried out …
robotic systems, such as self-driving cars. Extensive research has been carried out …
Improving sound event detection in domestic environments using sound separation
N Turpault, S Wisdom, H Erdogan, J Hershey… - ar** target sound events and non-target sounds, also referred to as interference or …
L3DAS21 challenge: Machine learning for 3D audio signal processing
E Guizzo, RF Gramaccioni, S Jamili… - 2021 IEEE 31st …, 2021 - ieeexplore.ieee.org
The L3DAS21 Challenge 1 1 www. 13das. com/mlsp2021 is aimed at encouraging and
fostering collaborative research on machine learning for 3D audio signal processing, with …
fostering collaborative research on machine learning for 3D audio signal processing, with …
How deep features have improved event recognition in multimedia: A survey
Event recognition is one of the areas in multimedia that is attracting great attention of
researchers. Being applicable in a wide range of applications, from personal to collective …
researchers. Being applicable in a wide range of applications, from personal to collective …