A Perceptual Study on Velvet Noise and Its Variants at Different Pulse Densities

Välimäki, Vesa; Lehtonen, Heidi-Maria; Takanen, Marko

doi:10.1109/tasl.2013.2255281

Cited by 23 publications

(29 citation statements)

References 15 publications

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“…Similarly, the late level estimation might be made more robust in future. For the late FIR filter, efficient convolution techniques such as the velvet noise approach [59] might be adopted. Futhermore, various microphone arrays, including B-Format and higher-order microphones, could also be used to acquire RIRs for parameterization.…”

Section: Discussionmentioning

confidence: 99%

Object-Based Reverberation for Spatial Audio

Coleman¹,

Franck²,

Jackson³

et al. 2017

J. Audio Eng. Soc.

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Object-based audio is gaining momentum as a means for future audio content to be more immersive, interactive, and accessible. Recent standardization developments make recommendations for object formats; however, the capture, production, and reproduction of reverberation is an open issue. In this paper parametric approaches for capturing, representing, editing, and rendering reverberation over a 3D spatial audio system are reviewed. A framework is proposed for a Reverberant Spatial Audio Object (RSAO), which synthesizes reverberation inside an audio object renderer. An implementation example of an object scheme utilizing the RSAO framework is provided, and supported with listening test results, showing that: the approach correctly retains the sense of room size compared to a convolved reference; editing RSAO parameters can alter the perceived room size and source distance; and, format-agnostic rendering can be exploited to alter listener envelopment.

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Section: Discussionmentioning

confidence: 99%

Object-Based Reverberation for Spatial Audio

Coleman¹,

Franck²,

Jackson³

et al. 2017

J. Audio Eng. Soc.

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“…To overcome the problem, we propose a new noise generation algorithm based on that for velvet noise [8], [9]. Velvet noise is superior to white noise in the perceived smoothness and stability of short-term power.…”

Section: Introductionmentioning

confidence: 99%

Modification of Velvet Noise for Speech Waveform Generation by Using Vocoder-Based Speech Synthesizer

Morise

2019

IEICE Trans. Inf. & Syst.

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This paper introduces a new noise generation algorithm for vocoder-based speech waveform generation. White noise is generally used for generating an aperiodic component. Since short-term white noise includes a zero-frequency component (ZFC) and inaudible components below 20 Hz, they are reduced in advance when synthesizing. We propose a new noise generation algorithm based on that for velvet noise to overcome the problem. The objective evaluation demonstrated that the proposed algorithm can reduce the unwanted components.

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“…Other randomization techniques have also been proposed, for example the totally random ternary sequence by Rubak and Johansen [11], which does not include any rule to limit how close to or far away from each other two neighboring impulses can occur. However, it is not perceived to be as smooth as velvet noise at low pulse densities [23]. The restriction of having only one impulse within every T d samples appears to be an economical choice, which minimizes roughness [13,23].…”

Section: Introductionmentioning

confidence: 99%

“…However, it is not perceived to be as smooth as velvet noise at low pulse densities [23]. The restriction of having only one impulse within every T d samples appears to be an economical choice, which minimizes roughness [13,23].…”

Section: Introductionmentioning

confidence: 99%

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Late Reverberation Synthesis Using Filtered Velvet Noise

et al. 2017

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This paper discusses the modeling of the late part of a room impulse response by dividing it into short segments and approximating each one as a filtered random sequence. The filters and their associated gain account for the spectral shape and decay of the overall response. The noise segments are realized with velvet noise, which is sparse pseudo-random noise. The proposed approach leads to a parametric representation and computationally efficient artificial reverberation, since convolution with velvet noise reduces to a multiplication-free sparse sum. Cascading of the differential coloration filters is proposed to further reduce the computational cost. A subjective test shows that the resulting approximation of the late reverberation often leads to a noticeable difference in comparison to the original impulse response, especially with transient sounds, but the difference is minor. The proposed method is very efficient in terms of real-time computational cost and memory storage. The proposed method will be useful for spatial audio applications.

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A Perceptual Study on Velvet Noise and Its Variants at Different Pulse Densities

Cited by 23 publications

References 15 publications

Object-Based Reverberation for Spatial Audio

Object-Based Reverberation for Spatial Audio

Modification of Velvet Noise for Speech Waveform Generation by Using Vocoder-Based Speech Synthesizer

Late Reverberation Synthesis Using Filtered Velvet Noise

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