A Method for Spatial Upsampling of Voice Directivity by Directional Equalization

Pörschmann, Christoph; Arend, Johannes M.

doi:10.17743/jaes.2020.0033

Cited by 12 publications

(13 citation statements)

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“…To produce the sound stimuli, directivity measurements of the artificial speaker Head Acoustics HMS-II at high resolution (2702 points on a Lebedev full spherical grid) was used [13]. These measurements resulted in data of 35th order in the spherical harmonics domain, according to the equation N m !…”

Section: Sound Stimuli Generationmentioning

confidence: 99%

Pilot study on the influence of spatial resolution of human voice directivity on speech perception

Quélennec

Luizard

2022

Acta Acust.

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A perceptual threshold related to spatial resolution of the human voice directivity was determined through a listening test of similarity (MUSHRA). Directivity data of an artificial talking head measured at high spatial resolution (spherical harmonics order 35) was the input of a room acoustics simulation software (RAVEN) to build sound stimuli in various room acoustic conditions and source–receiver arrangements, with different voices. Results showed that, at spherical harmonics order 8 and above, the voice signal was not anymore perceived as significantly different from the greatest resolution. An analytical model was proposed and showed good agreement with the listening test results.

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Section: Sound Stimuli Generationmentioning

confidence: 99%

Pilot study on the influence of spatial resolution of human voice directivity on speech perception

Quélennec

Luizard

2022

Acta Acust.

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“…Both cases require some form of data interpolation to estimate unmeasured values. More recent works have considered interpolation methods for the former case [13,14]; the present work reports on a method for the latter.…”

Section: Introductionmentioning

confidence: 99%

Combining multiple sparse measurements with reference data regularization to create spherical directivities applied to voice data

Bellows,

Katz

2024

Acta Acust.

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Obtaining high-resolution, spherical phoneme-dependent directivities for voice radiation is beneficial for numerous acoustics applications. This work reports on a spherical interpolation method based on two interleaved measurements using a regularized least-squares fit with reference data. Maximizing the spherical correlation between previously reported results and measured data determines the regularization hyper-parameters to ensure physical solutions. While the resultant spherical directivity patterns show similarities to time-averaged results, distinct radiation characteristics appear, particularly in the range of 630 Hz to 2 kHz.

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“…An experiment with three wind musical instruments on the effect of band averaging directivities concluded that these effects are perceived during hearing experiments and noticed in predicted room acoustical parameters [3]. Although not strictly on the effect of models based in bands, other studies show the uncertainty effects of ambisonics encoding order on perceived differences [4], [5]. Besides, some studies adapting directivity data for other simulation method (e.g.…”

Section: Introductionmentioning

confidence: 99%

Uncertainties of room acoustics simulation due to directivity data of musical instruments

Accolti¹,

Giménez²,

Vorländer³

2023

Preprint

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A Method for Spatial Upsampling of Voice Directivity by Directional Equalization

Cited by 12 publications

References 0 publications

Pilot study on the influence of spatial resolution of human voice directivity on speech perception

Pilot study on the influence of spatial resolution of human voice directivity on speech perception

Combining multiple sparse measurements with reference data regularization to create spherical directivities applied to voice data

Uncertainties of room acoustics simulation due to directivity data of musical instruments

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