Results 11 to 20 of about 45,066 (261)
Improving Post-Processing of Audio Event Detectors Using Reinforcement Learning
IEEE Access, 2022 We apply post-processing to the class probability distribution outputs of audio event classification models and employ reinforcement learning to jointly discover the optimal parameters for various stages of a post-processing stack, such as the ...
Petros Giannakopoulos +2 more
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Sensors, 2021 Audio signal classification finds various applications in detecting and monitoring health conditions in healthcare. Convolutional neural networks (CNN) have produced state-of-the-art results in image classification and are being increasingly used in ...
Roneel V. Sharan +2 more
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IoT-Based Bee Swarm Activity Acoustic Classification Using Deep Neural Networks
Sensors, 2021 Animal activity acoustic monitoring is becoming one of the necessary tools in agriculture, including beekeeping. It can assist in the control of beehives in remote locations.
Andrej Zgank
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Multiscale Audio Spectrogram Transformer for Efficient Audio Classification
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 ICASSP ...
Wentao Zhu, Mohamed Omar
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Multi-Level Audio Classification Architecture
Advances in Electrical and Electronic Engineering, 2015 A multi-level classification architecture for solving binary discrimination problem is proposed in this paper. The main idea of proposed solution is derived from the fact that solving one binary discrimination problem multiple times can reduce the ...
Jozef Vavrek, Josef Juhar
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EURASIP Journal on Advances in Signal Processing, 2010 Audio signals are information rich nonstationary signals that play an important role in our day-to-day communication, perception of environment, and entertainment.
Umapathy K, Ghoraani B, Krishnan S
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Adaptive DCTNet for audio signal classification [PDF]
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 In this paper, we investigate DCTNet for audio signal classification. Its output feature is related to Cohen's class of time-frequency distributions. We introduce the use of adaptive DCTNet (A-DCTNet) for audio signals feature extraction. The A-DCTNet applies the idea of constant-Q transform, with its center frequencies of filterbanks geometrically ...
Yin Xian +4 more
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Ensemble of convolutional neural networks to improve animal audio classification
EURASIP Journal on Audio, Speech, and Music Processing, 2020 In this work, we present an ensemble for automated audio classification that fuses different types of features extracted from audio files. These features are evaluated, compared, and fused with the goal of producing better classification accuracy than ...
Loris Nanni +5 more
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Features For Audio And Music Classification. [PDF]
, 2003 [TODO] Add abstract here.
Martin McKinney, Jeroen Breebaart
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Sensors, 2022 Aphasia is a type of speech disorder that can cause speech defects in a person. Identifying the severity level of the aphasia patient is critical for the rehabilitation process.
Herath Mudiyanselage Dhammike Piyumal Madhurajith Herath +5 more
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