Diffraction Kernels for Interactive Sound Propagation in Dynamic Environments

Rungta, Atul; Schissler, Carl; Rewkowski, Nicholas; Mehra, Ravish; Manocha, Dinesh

doi:10.1109/tvcg.2018.2794098

Cited by 32 publications

(20 citation statements)

References 30 publications

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“…Here is reported a self-consistent field calculation through abinitio and DFT method and also sonification approaches [47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64] for translating amino acids sequences into audible music sounds and applying it to generate protein of insulin designing using artificial intelligence (Figs 11, 12). Between chemical shifts, each 10 ppm is one unite, as for instance among 200 to 170 there are 3 units so is equal to one half not plus to one quarter note.…”

Section: Resultsmentioning

confidence: 99%

13C-NMR sonification of human insulin: a method for conversion of amino-acid sequences to music notes

2019

Biointerface Res Appl Chem

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The concept of molecular sonification comprises total steps of methods that convert the physical data derived from chemical systems into acousmatic music. NMR data of the 13C are especially well suited data sources for Insulin sonification. Even though their resonant frequencies are typically in the MHz region, the resonant frequencies span around kHz. The human insulin is consisting of 51 amino acids which can be divided into 7 series of amino acids for seven octaves of notes. During NMR calculation with ab-initio methods, these signals are routinely mixed down into the audible frequencies ranges, rendering the need for any additional frequencies transpositions unnecessary. By this work, insulin protein sequences into musical notes to reveal auditory algorithms have been converted. Calculation and optimization of 20 amino acids have been done and the total frequencies of each amino acid have been converted to 20 music notes and distinguishing those using variations of chemical shifts including pitch, time duration length of notes and even rhythm have been accomplished.

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Section: Resultsmentioning

confidence: 99%

13C-NMR sonification of human insulin: a method for conversion of amino-acid sequences to music notes

2019

Biointerface Res Appl Chem

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“…While wave-based methods generally produce more accurate results, it remains an open challenge to build a real-time universal wave solver. Recent advances such as parallelization via rectangular decomposition [36], pre-computation acceleration structures [34], and coupling with geometric acoustics [46,68] are used for interactive applications. It is also possible to precompute low-frequency wave-based propagation effects in large scenes [43], and to perceptually compress them to reduce runtime requirements [42].…”

Section: Related Workmentioning

confidence: 99%

“…These algorithms are based on fast ray tracing and perform specular and diffuse reflections [48]. Some techniques have been proposed to approximate low-frequency diffraction effects using ray-tracing [46,61,64]. Our approach can be combined with any interactive audio simulation method, though our current implementation is based on bidirectional ray tracing [7].…”

Section: Related Workmentioning

confidence: 99%

Scene-Aware Audio Rendering via Deep Acoustic Analysis

Tang

Bryan

et al. 2020

IEEE Trans. Visual. Comput. Graphics

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Fig. 1: Given a natural sound in a real-world room that is recorded using a cellphone microphone (left), we estimate the acoustic material properties and the frequency equalization of the room using a novel deep learning approach (middle). We use the estimated acoustic material properties for generating plausible sound effects in the virtual model of the room (right). Our approach is general and robust, and works well with commodity devices.Abstract-We present a new method to capture the acoustic characteristics of real-world rooms using commodity devices, and use the captured characteristics to generate similar sounding sources with virtual models. Given the captured audio and an approximate geometric model of a real-world room, we present a novel learning-based method to estimate its acoustic material properties. Our approach is based on deep neural networks that estimate the reverberation time and equalization of the room from recorded audio. These estimates are used to compute material properties related to room reverberation using a novel material optimization objective. We use the estimated acoustic material characteristics for audio rendering using interactive geometric sound propagation and highlight the performance on many real-world scenarios. We also perform a user study to evaluate the perceptual similarity between the recorded sounds and our rendered audio.

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“…The only techniques of altering the pitches of the oboes are to adjust the breadth or length of the reeds; it is nearly impossible for making any suddenly changing. It is complicated to adjust the pitches of the oboes [84,85]. So, it would appear which the other musical tools must be made to match, and that is the explanation of why the oboes are the standard for tuning.…”

Section: The Oboe Charachteristic On Leading the Orchestra In Tuningmentioning

confidence: 99%

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2020

Biointerface Res Appl Chem

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Ribosome sonification contains total steps of DNA, m-RNA, t-RNA and amino acids consequences that convert the bio-macromolecules data derived from biology systems into acousmatic music are a novel approach in a symphony orchestras. NMR data of the 13 C are particularly well suited data sources for DNA, mRNA and amino acids sonification. One of the important directions in ribosome sonification is time-series-sonification data (TSSD), due to auditory imagination is very sensitive to changes in time. Although, their resonant frequencies are basically in the MHz range, the resonant frequencies span around kHz. The ribosome of E. coli is consisting of several genes which one of them might be divided into 8 series of codons and anti-codons for eight octaves of notes. During NMR calculation with AB-initio methods, these signals are routinely mixed down into the audible frequencies ranges, rendering the need for any additional frequencies transpositions unnecessary. The concert pitches vary from ensemble to ensemble and have varied largely over music methods. The most general advance tuning standard corresponds to 440 Hz for An above middle C as a sequence note. This concept is also applied for distinguishing among the "nominal" (written), and "real" (sounding) notes of a transposing instrument that refers to the sounding pitch on a non-transposing instrument. By this study, E .coli's gene sequences into musical notes for a revealing auditory algorithm has been converted. Estimations of their calculation and optimization of those codons have been done and the total frequencies of each nucleotide have been converted to several music notes and distinguishing those using variations of chemical shifts including pitch, time duration length of notes and even rhythm have been accomplished.

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Diffraction Kernels for Interactive Sound Propagation in Dynamic Environments

Cited by 32 publications

References 30 publications

13C-NMR sonification of human insulin: a method for conversion of amino-acid sequences to music notes

13C-NMR sonification of human insulin: a method for conversion of amino-acid sequences to music notes

Scene-Aware Audio Rendering via Deep Acoustic Analysis

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