Fsd50k: an open dataset of human-labeled sound events
Most existing datasets for sound event recognition (SER) are relatively small and/or domain-
specific, with the exception of AudioSet, based on over 2 M tracks from YouTube videos and …
specific, with the exception of AudioSet, based on over 2 M tracks from YouTube videos and …
Hear: Holistic evaluation of audio representations
What audio embedding approach generalizes best to a wide range of downstream tasks
across a variety of everyday domains without fine-tuning? The aim of the HEAR benchmark …
across a variety of everyday domains without fine-tuning? The aim of the HEAR benchmark …
BYOL for audio: Exploring pre-trained general-purpose audio representations
Pre-trained models are essential as feature extractors in modern machine learning systems
in various domains. In this study, we hypothesize that representations effective for general …
in various domains. In this study, we hypothesize that representations effective for general …
Learning strides in convolutional neural networks
R Riad, O Teboul, D Grangier, N Zeghidour - ar** sound events still pose challenges for sound event …
Heterogeneous sound classification with the Broad Sound Taxonomy and Dataset
Automatic sound classification has a wide range of applications in machine listening,
enabling context-aware sound processing and understanding. This paper explores …
enabling context-aware sound processing and understanding. This paper explores …
Detection of Gender and Age Category from Speech
R Haluška, M Popovič, M Pleva… - 2023 World Symposium …, 2023 - ieeexplore.ieee.org
The main goal of this paper was to find out how the gender and age group acoustical
models behave on audio data that is in no way related to the data corpora used to train and …
models behave on audio data that is in no way related to the data corpora used to train and …
Adaptive Pooling for Improving the Performance of Convolutional Neural Networks in Floating Object Identification on the Surface of the River
N Saubari, K Wang - Available at SSRN 4984836 - papers.ssrn.com
The adaptive pooling method enables the modification of the size and form of the pooling
region according to the properties of the image. This adjustment is anticipated to enhance …
region according to the properties of the image. This adjustment is anticipated to enhance …
[PDF][PDF] Urban Noise Classification Using Machine Learning Techniques: Comparative Analysis and Future
T Mujawar - osf.io
This research paper investigates the effectiveness of various machine learning models for
the classification of urban noise, focusing on Convolutional Neural Networks (CNN), Deep …
the classification of urban noise, focusing on Convolutional Neural Networks (CNN), Deep …