A low latency implementation of a non-uniform partitioned convolution algorithm for room acoustic simulation

Primavera, Andrea; Cecchi, Stefania; Romoli, Laura; Peretti, Paolo; Piazza, Francesco

doi:10.1007/s11760-012-0387-0

Cited by 5 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While we compare the computational complexity of the proposed algorithm with the standard overlap-add convolution, we also acknowledge that more efficient convolution methods have recently been proposed, e.g. [57]- [59]. However, the comparison of the proposed algorithm with these new methods is outside the scope of this article.…”

Section: E Computational Loadmentioning

confidence: 99%

See 1 more Smart Citation

Efficient Synthesis of Room Acoustics via Scattering Delay Networks

Sena

Hacıhabiboğlu

Cvetković

et al. 2015

IEEE/ACM Trans. Audio Speech Lang. Process.

View full text Add to dashboard Cite

An acoustic reverberator consisting of a network of delay lines connected via scattering junctions is proposed. All parameters of the reverberator are derived from physical properties of the enclosure it simulates. It allows for simulation of unequal and frequency-dependent wall absorption, as well as directional sources and microphones. The reverberator renders the first-order reflections exactly, while making progressively coarser approximations of higher-order reflections. The rate of energy decay is close to that obtained with the image method (IM) and consistent with the predictions of Sabine and Eyring equations. The time evolution of the normalized echo density, which was previously shown to be correlated with the perceived texture of reverberation, is also close to that of IM. However, its computational complexity is one to two orders of magnitude lower, comparable to the computational complexity of a feedback delay network (FDN), and its memory requirements are negligible

show abstract

Section: E Computational Loadmentioning

confidence: 99%

“…[57]- [59]. However, the comparison of the proposed algorithm with these new methods is outside the scope of this article.…”

Section: E Computational Loadmentioning

confidence: 99%

Efficient Synthesis of Room Acoustics via Scattering Delay Networks

Sena

Hacıhabiboğlu

Cvetković

et al. 2015

IEEE/ACM Trans. Audio Speech Lang. Process.

View full text Add to dashboard Cite

show abstract

“…It is also possible to process the first segment of the impulse response using the direct convolution to avoid the delay completely [87]. This approach has become popular in artificial reverberation, where very long FIR filters are used [88][89][90][91].…”

Section: Graphic Equalization Using Fast Convolutionmentioning

confidence: 99%

All About Audio Equalization: Solutions and Frontiers

Välimäki

Reiss

2016

Applied Sciences

View full text Add to dashboard Cite

Audio equalization is a vast and active research area. The extent of research means that one often cannot identify the preferred technique for a particular problem. This review paper bridges those gaps, systemically providing a deep understanding of the problems and approaches in audio equalization, their relative merits and applications. Digital signal processing techniques for modifying the spectral balance in audio signals and applications of these techniques are reviewed, ranging from classic equalizers to emerging designs based on new advances in signal processing and machine learning. Emphasis is placed on putting the range of approaches within a common mathematical and conceptual framework. The application areas discussed herein are diverse, and include well-defined, solvable problems of filter design subject to constraints, as well as newly emerging challenges that touch on problems in semantics, perception and human computer interaction. Case studies are given in order to illustrate key concepts and how they are applied in practice. We also recommend preferred signal processing approaches for important audio equalization problems. Finally, we discuss current challenges and the uncharted frontiers in this field. The source code for methods discussed in this paper is made available at https://code.soundsoftware.ac.uk/projects/allaboutaudioeq.

show abstract