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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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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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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
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Style Transfer of Audio Effects with Differentiable Signal Processing [PDF]
Journal of The Audio Engineering Society, 2022 We present a framework that can impose the audio effects and production style from one recording to another by example with the goal of simplifying the audio production process.
C. Steinmetz +2 more
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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 Multilayered Audio Signal Encryption Approach for Secure Voice Communication
Electronics, 2022 In this paper, multilayer cryptosystems for encrypting audio communications are proposed. These cryptosystems combine audio signals with other active concealing signals, such as speech signals, by continuously fusing the audio signal with a speech signal
Hanaa A. Abdallah, Souham Meshoul
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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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Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2020 Phase retrieval (PR) aims to recover a signal from the magnitudes of a set of inner products. This problem arises in many audio signal processing applications which operate on a short-time Fourier transform magnitude or power spectrogram, and discard the
Pierre-Hugo Vial +3 more
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Packet Loss Concealment Based on Phase Correction and Deep Neural Network
Applied Sciences, 2022 In a packet switching network, the performance of packet loss concealment (PLC) is often affected by inaccurate estimation of phase spectrum of speech signal in the lost packet.
Qiang Ji, Changchun Bao, Zihao Cui
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