Locating Image Sources from Multiple Spatial Room Impulse Responses

Puomio, Otto; Meyer-Kahlen, Nils; Lokki, Tapio

doi:10.3390/app11062485

Cited by 5 publications

(10 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Common image source search flowchart. The algorithm presented in [9] provides the acoustic scene information. Common image source search then iteratively searches for common image sources until no new candidates are found.…”

Section: Sound Source Interpolationmentioning

confidence: 99%

“…Scene analysis stage applies the analysis algorithm presented in [9]. The only difference is that the search algorithm finds ISs for each SS separately.…”

Section: A Scene Analysismentioning

confidence: 99%

“…The only difference is that the search algorithm finds ISs for each SS separately. As the other algorithms are identical, therefore the reader is instructed to consult [9] for more detailed method descriptions. Nonetheless, the algorithm is also described briefly below.…”

Section: A Scene Analysismentioning

confidence: 99%

“…For comparison, Fig. 5c visualizes the ISs found by the search algorithm presented in [9]. Since the search approach is different, the former can present ISs that have only one ER object (small colored crosshairs), while the latter has at least three ER objects in each shown IS.…”

Section: A Issmentioning

confidence: 99%

“…Our previous work [9] touched on the IS reversion by locating ISs from multiple measured spatial room impulse responses (SRIR; i.e., RIRs containing spatial information). Similar to [4], we used ToAs and DoAs to locate the receivers.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Common Image Source Search for Multiple Spatial Room Impulse Response Measurements

Puomio

Lokki

2021

2021 Immersive and 3D Audio: From Architecture to Automotive (I3DA)

Self Cite

View full text Add to dashboard Cite

Image source reversion algorithms estimate room geometry from measured spatial room impulse responses by locating image sources. However, most of the methods have been limited to a single loudspeaker position and to convex rooms. Earlier, we have proposed a method that combines image sources from multiple receiver locations to find more image sources accurately even in concave rooms. Here, we extend the method to cope with multiple sound sources, thus the image source search can utilize measurements from multiple source and receiver positions simultaneously. The search method is tested with two measurement datasets and is found to improve the result compared to the previous algorithm. For the future applications, we also propose methods for generating a concave room model from the found reflection planes, for estimating material filters for each surface, and for interpolating between measured source locations.

show abstract

Section: Sound Source Interpolationmentioning

confidence: 99%

“…Scene analysis stage applies the analysis algorithm presented in [9]. The only difference is that the search algorithm finds ISs for each SS separately.…”

Section: A Scene Analysismentioning

confidence: 99%

Section: A Scene Analysismentioning

confidence: 99%

Section: A Issmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Common Image Source Search for Multiple Spatial Room Impulse Response Measurements

Puomio

Lokki

2021

2021 Immersive and 3D Audio: From Architecture to Automotive (I3DA)

Self Cite

View full text Add to dashboard Cite

show abstract

Sound rendering with early reflections extracted from a measured spatial room impulse response

Puomio

Pihlajakuja

Lokki

2021

2021 Immersive and 3D Audio: From Architecture to Automotive (I3DA)

View full text Add to dashboard Cite

There are a lot of colleagues that I grateful for the support and companionship. I thank Professor Jaakko Lehtinen for nudging me towards the academy and showing what can be achieved by thinking big; Tapani Pihlajakuja for breathing new life to my PhD; and Nils Meyer-Kahlen for reaching completely new heights of invention. I also thank coauthors Jukka Pätynen for introduction to research work and Raimundo Gonzalez for intriguing journeys inside and outside office hours. I am also grateful to all the colleagues and partners that helped me along the way: Benoit

show abstract

A Method for Capturing and Reproducing Directional Reverberation in Six Degrees of Freedom

Alary

Välimäki

2021

2021 Immersive and 3D Audio: From Architecture to Automotive (I3DA)

View full text Add to dashboard Cite

The reproduction of acoustics is an important aspect of the preservation of cultural heritage. A common approach is to capture an impulse response in a hall and auralize it by convolving an input signal with the measured reverberant response. For immersive applications, it is typical to acquire spatial impulse responses using a spherical microphone array to capture the reverberant sound field. While this allows a listener to freely rotate their head from the captured location during reproduction, delicate considerations must be made to allow a full six degrees of freedom auralization. Furthermore, the computational cost of convolution with a high-order Ambisonics impulse response remains prohibitively expensive for current real-time applications, where most of the resources are dedicated towards rendering graphics. For this reason, simplifications are often made in the reproduction of reverberation, such as using a uniform decay around the listener. However, recent work has highlighted the importance of directional characteristics in the late reverberant sound field and more efficient reproduction methods have been developed. In this article, we propose a framework that extracts directional decay properties from a set of captured spatial impulse responses to characterize a directional feedback delay network. For this purpose, a data set was acquired in the main auditorium of the Finnish National Opera and Ballet in Helsinki from multiple source-listener positions, in order to analyze the anisotropic characteristics of this auditorium and illustrate the proposed reproduction framework.

show abstract

Locating Image Sources from Multiple Spatial Room Impulse Responses

Cited by 5 publications

References 21 publications

Common Image Source Search for Multiple Spatial Room Impulse Response Measurements

Common Image Source Search for Multiple Spatial Room Impulse Response Measurements

Sound rendering with early reflections extracted from a measured spatial room impulse response

A Method for Capturing and Reproducing Directional Reverberation in Six Degrees of Freedom

Contact Info

Product

Resources

About