A hybrid reverberation crossfading technique

Greenblatt, Aaron; Abel, Jonathan S.; Berners, David P.

doi:10.1109/icassp.2010.5495753

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…While this method is very effective, additional computational and memory resources are used in unrolling the loop. In [37], a constant-power cross-fade is achieved by simply subtracting the unwanted portion of the FDN response d(t) from the convolutional response c(t).…”

Section: Hybrid Reverberation Methodsmentioning

confidence: 99%

Recent Advances in Real-Time Musical Effects, Synthesis, and Virtual Analog Models

Pakarinen

Välimäki

Fontana

et al. 2011

EURASIP J. Adv. Signal Process.

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Section: Hybrid Reverberation Methodsmentioning

confidence: 99%

Recent Advances in Real-Time Musical Effects, Synthesis, and Virtual Analog Models

Pakarinen

Välimäki

Fontana

et al. 2011

EURASIP J. Adv. Signal Process.

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“…The car signal blocks were handled as being uncorrelated. Therefore, the sine window was applied in order to achieve an equal power cross-fade and to avoid audible fluctuations of the signal loudness [42].…”

Section: Cross-fading Between Discrete Source Positionsmentioning

confidence: 99%

Auralization of a Car Pass-By Using Impulse Responses Computed with a Wave-Based Method

Georgiou¹,

Hornikx²,

Kohlrausch³

2019

Acta Acustica united with Acustica

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“…The spring reverb samples were recorded with the help of Giulio Moro. reverberation has been emulated with different approaches such as numerical simulation techniques, where a finite difference scheme [6,7,8] or a modal description [9] is derived from the differential equations that describe the motion of the plate; and hybrid digital filter-based algorithms [10,11,12], where convolutional impulse responses and feedback delay networks are used to model the desired impulse response. Similarly, modeling of spring reverberation has been explored as wave digital filters [13], to explicitly model the wave and dispersive propagation; numerical simulation techniques such as finite difference schemes [14,5,15], and nonphysical modeling techniques [16,17], where chains of allpass filters and varying delay lines are used to approximate the dispersive and reverberant features of spring reverb.…”

Section: Introductionmentioning

confidence: 99%

Modeling Plate and Spring Reverberation Using A DSP-Informed Deep Neural Network

Ramírez

Benetos

Reiss

2020

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Plate and spring reverberators are electromechanical systems first used and researched as means to substitute real room reverberation. Nowadays they are often used in music production for aesthetic reasons due to their particular sonic characteristics. The modeling of these audio processors and their perceptual qualities is difficult since they use mechanical elements together with analog electronics resulting in an extremely complex response. Based on digital reverberators that use sparse FIR filters, we propose a signal processinginformed deep learning architecture for the modeling of artificial reverberators. We explore the capabilities of deep neural networks to learn such highly nonlinear electromechanical responses and we perform modeling of plate and spring reverberators. In order to measure the performance of the model, we conduct a perceptual evaluation experiment and we also analyze how the given task is accomplished and what the model is actually learning.

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A hybrid reverberation crossfading technique

Cited by 4 publications

References 3 publications

Recent Advances in Real-Time Musical Effects, Synthesis, and Virtual Analog Models

Recent Advances in Real-Time Musical Effects, Synthesis, and Virtual Analog Models

Auralization of a Car Pass-By Using Impulse Responses Computed with a Wave-Based Method

Modeling Plate and Spring Reverberation Using A DSP-Informed Deep Neural Network

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