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Environmental audio scene and sound event recognition for autonomous surveillance: A survey and comparative studies
S Chandrakala, SL Jayalakshmi - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Monitoring of human and social activities is becoming increasingly pervasive in our living
environment for public security and safety applications. The recognition of suspicious events …
environment for public security and safety applications. The recognition of suspicious events …
The internet of audio things: State of the art, vision, and challenges
The Internet of Audio Things (IoAuT) is an emerging research field positioned at the
intersection of the Internet of Things, sound and music computing, artificial intelligence, and …
intersection of the Internet of Things, sound and music computing, artificial intelligence, and …
Detection and classification of acoustic scenes and events: Outcome of the DCASE 2016 challenge
Public evaluation campaigns and datasets promote active development in target research
areas, allowing direct comparison of algorithms. The second edition of the challenge on …
areas, allowing direct comparison of algorithms. The second edition of the challenge on …
Classification of lung sounds with CNN model using parallel pooling structure
The recognition of various lung sounds recorded using electronic stethoscopes plays a
significant role in the early diagnoses of respiratory diseases. To increase the accuracy of …
significant role in the early diagnoses of respiratory diseases. To increase the accuracy of …
QTI submission to DCASE 2021: Residual normalization for device-imbalanced acoustic scene classification with efficient design
Few-shot continual learning for audio classification
Supervised learning for audio classification typically imposes a fixed class vocabulary,
which can be limiting for real-world applications where the target class vocabulary is not …
which can be limiting for real-world applications where the target class vocabulary is not …
[PDF][PDF] Convolutional Neural Networks with Binaural Representations and Background Subtraction for Acoustic Scene Classification.
In this paper, we demonstrate how we applied convolutional neural network for DCASE
2017 task 1, acoustic scene classification. We propose a variety of preprocessing methods …
2017 task 1, acoustic scene classification. We propose a variety of preprocessing methods …