Results 1 to 10 of about 5,012,951 (306)
Benchmarking Audio Signal Representation Techniques for Classification with Convolutional Neural Networks [PDF]
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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Acta Acustica, 2022 Spatial audio has been studied for several decades, but has seen much renewed interest recently due to advances in both software and hardware for capture and playback, and the emergence of applications such as virtual reality and augmented reality.
Rafaely Boaz +9 more
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Quantum-assisted distortion-free audio signal sensing [PDF]
Nature Communications, 2022 High sensitivity in quantum sensing comes often at the expense of other figures of merit, usually resulting in distortion. Here, the authors propose a protocol with good sensitivity, readout linearity and high frequency resolution, and benchmark it ...
Chen Zhang +11 more
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A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition. [PDF]
Sensors (Basel), 2019 Speech is the most significant mode of communication among human beings and a potential method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable emotion recognition using these sensors from speech signals is an emerging area
Mustaqeem, Kwon S.
europepmc +2 more sources
pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis. [PDF]
PLoS One, 2015 Audio information plays a rather important role in the increasing digital content that is available today, resulting in a need for methodologies that automatically analyze such content: audio event recognition for home automations and surveillance ...
Giannakopoulos T.
europepmc +2 more sources
A Survey of Audio Classification Using Deep Learning
IEEE Access, 2023 Deep learning can be used for audio signal classification in a variety of ways. It can be used to detect and classify various types of audio signals such as speech, music, and environmental sounds.
Khalid Zaman +3 more
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L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing [PDF]
International Workshop on Machine Learning for Signal Processing, 2021 The L3DAS21 Challenge11www.13das.com/mlsp2021 is aimed at encouraging and fostering collaborative research on machine learning for 3D audio signal processing, with particular focus on 3D speech enhancement (SE) and 3D sound localization and detection ...
E. Guizzo +13 more
semanticscholar +1 more source
Applied Sciences, 2021 Modal decays and modal power distribution in acoustic environments are key factors in deciding the perceptual quality and performance accuracy of audio applications.
Amy Bastine +2 more
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A Preliminary Investigation on Frequency Dependant Cues for Human Emotions
Acoustics, 2022 The recent advances in Human-Computer Interaction and Artificial Intelligence have significantly increased the importance of identifying human emotions from different sensory cues.
Manish Kumar +2 more
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Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years
IEEE Signal Processing Magazine, 2023 Audio signal processing has passed many landmarks in its development as a research topic. Many are well known, such as the development of the phonograph in the second half of the 19th century and technology associated with digital telephony that ...
G. Richard +6 more
semanticscholar +1 more source