Results 11 to 20 of about 4,793,650 (180)
Computational Tonality Estimation: Signal Processing and Hidden Markov Models [PDF]
PhDThis thesis investigates computational musical tonality estimation from an audio signal. We present a hidden Markov model (HMM) in which relationships between chords and keys are expressed as probabilities of emitting observable chords from a hidden
Noland, Katy C
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(c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Emiya, Valentin +18 more
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Audio Peak Reduction Using Ultra-Short Chirps
Two filtering methods for reducing the peak value of audio signals are studied. Both methods essentially warp the signal phase while leaving its magnitude spectrum unchanged.
Vesa Välimäki +7 more
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Advanced techniques on multirate signal processing for digital information processing [PDF]
Multirate signal processing has become a key topic enabling efficient techniques for digital information processing in a variety of applications such as digital transceivers s for wireless as well as satellite communication systems, digital broadcasting,
Massimiliano Laddomada +2 more
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Neural Modeling of Phaser and Flanging Effects [PDF]
This article further explores a previously proposed gray-box neural network approach to modeling LFO (low-frequency oscillator) modulated time-varying audio effects. The network inputs are both the unprocessed audio and LFO signal. This allows the LFO to
Wright, Alec +2 more
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Perceptual Loss Function for Neural Modelling of Audio Systems
This work investigates alternate pre-emphasis filters used as part of the loss function during neural network training for nonlinear audio processing. In our previous work, the error-to-signal ratio loss function was used during network training, with a ...
Wright, Alec +3 more
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Sparse representations in audio & music: from coding to source separation [PDF]
—Sparse representations have proved a powerful toolin the analysis and processing of audio signals and already lieat the heart of popular coding standards such as MP3 andDolby AAC.
Davies, ME +15 more
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Machine Learning Applied to Music/Audio Signal Processing
Over the past two decades, the utilization of machine learning in audio and music signal processing has dramatically increased [...
Alexander Lerch, Peter Knees
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Generalized linear-in-parameter models : theory and audio signal processing applications [PDF]
This thesis presents a mathematically oriented perspective to some basic concepts of digital signal processing. A general framework for the development of alternative signal and system representations is attained by defining a generalized linear-in ...
Paatero, Tuomas
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Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering
Publisher Copyright: © 2022 IEEE.Augmented or mixed reality (AR/MR) is emerging as one of the key technologies in the future of computing. Audio cues are critical for maintaining a high degree of realism, social connection, and spatial awareness for ...
Schneiderwind, Christian +8 more
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