Estimation of Reflections from Impulse Responses

Tervo, Sakari; Korhonen, Teemu; Lokki, Tapio

doi:10.1260/1351-010x.18.1-2.159

Cited by 18 publications

(13 citation statements)

References 12 publications

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“…which is identical to equation (68).That is, in theory localization using MLE-TOA,S RP-TOA,o rM LE-S function have the same performance.…”

Section: Time Of Arrivalbased Localizationmentioning

confidence: 59%

“…Ag eneral framework localizing the reflections using a small microphone array and aloudspeaker is presented in [68]. In addition, acomparison of the performance of SRP-TDOAb ased methods and sound intensity vector based methods in the direction estimation task reveals that SRPbased methods should be preferred.…”

Section: Localization Of Reflections and Room Geometry Estimationmentioning

confidence: 99%

“…The processing of the spatial impulse response measured with acompact microphone array is usually done in short time windows [55,56,59,60,67,68]. Based on previous knowledge [79,59,60,67], agood windowsize for the analysis of early reflections is from 1msto4ms.…”

Section: Impulse Response and Reflection Signal Modelmentioning

confidence: 99%

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Acoustic Reflection Localization from Room Impulse Responses

Tervo¹,

Pätynen²,

Lokki³

2012

Acta Acustica united with Acustica

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The localization of acoustic reflections, i.e., the image-sources, is of interest when analyzing the acoustics of concert halls and auditoriums. The location is needed, for example, in room acoustic studies, auralization, inference of room geometry,orwhen estimating the acoustic properties of surfaces. This article studies the localization of acoustic reflections from spatial impulse responses. The contribution of this article is threefold. First, the article proposes anew method for localization that takes advantage of the time of arrival(TOA) estimation. Secondly, it is proposed that TOAand time difference of arrival(TDOA) information, present in the spatial room impulse responses, are combined in twon ovelw ays. Thirdly,t he performance of the proposed localization methods is compared to the existing state-of-the-art localization methods in the acoustic reflection localization task. Theoretical performance is investigated and experiments using real and simulated data are conducted. The TOA-based methods are found to achieve reasonably good performance in the reflection localization task. When TOAa nd TDOAinformation is combined the performance clearly improves. PACS no. 43.60.Hg, 43.60.Jn 418 ©S.Hirzel Verlag · EAA Tervo et al.:R eflection localization from impulse responses ACTA ACUSTICA UNITED WITH ACUSTICA Vol. 98 (2012) SRP-TOA MLE-S ACTA ACUSTICA UNITED WITH ACUSTICA Vol. 98 (2012)

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“…which is identical to equation (68).That is, in theory localization using MLE-TOA,S RP-TOA,o rM LE-S function have the same performance.…”

Section: Time Of Arrivalbased Localizationmentioning

confidence: 59%

Section: Localization Of Reflections and Room Geometry Estimationmentioning

confidence: 99%

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Acoustic Reflection Localization from Room Impulse Responses

Tervo¹,

Pätynen²,

Lokki³

2012

Acta Acustica united with Acustica

Self Cite

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“…7 More recently, the deployment of microphone arrays allows one to extract further spatial information about the acoustic environment, including early reflection localization from the measured spatial room impulse responses. [8][9][10][11] For full three-dimensional (3D) scene analysis, a spherical array can be applied to sample the wave field. [12][13][14] In particular, signal processing can then be performed using the spherical harmonics [eigenbeams (EB)] for acoustic wave field representation.…”

Section: Introductionmentioning

confidence: 99%

Localization of distinct reflections in rooms using spherical microphone array eigenbeam processing

Sun

Mabande²,

Kowalczyk³

et al. 2012

The Journal of the Acoustical Society of America

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This paper presents an experimental and comparative study of several spherical microphone array eigenbeam (EB) processing techniques for localization of early reflections in room acoustic environments, which is a relevant research topic in both audio signal processing and room acoustics. This paper focuses on steered beamformer-based and subspace-based localization techniques implemented in the spherical EB domain, including the plane-wave decomposition, eigenbeam delay and sum, eigenbeam minimum variance distortionless response, eigenbeam multiple signal classification (EB-MUSIC), and eigenbeam estimation of signal parameters via rotational invariance techniques (EB-ESPRIT) methods. The directions of arrival of the original sound source and the associated reflection signals in acoustic environments are estimated from acoustic maps of the rooms, which are obtained using a spherical microphone array. The EB-domain-based frequency smoothing and white noise gain control techniques are derived and employed to improve the performance and robustness of reflection localization. The applicability of the presented methods in practice is confirmed by experiments carried out in real rooms.

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“…Por otra parte, también se han utilizado arrays de micrófonos para el análisis de reflexiones tempranas sin desarrollar métodos automáticos para detectar eventos de onda [49]. En este contexto, Tervo et al [50] propusieron un método automático de detección basado en un array de micrófonos esféricos estudiando la dirección de llegada y la difusividad del campo sonoro.…”

Section: Detección De Reflexiones Tempranasunclassified

Análisis De La Acústica De Salas Mediante La Utilización De Arrays De Micrófonos Circulares

Aranda¹,

María²

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Estimation of Reflections from Impulse Responses

Cited by 18 publications

References 12 publications

Acoustic Reflection Localization from Room Impulse Responses

Acoustic Reflection Localization from Room Impulse Responses

Localization of distinct reflections in rooms using spherical microphone array eigenbeam processing

Análisis De La Acústica De Salas Mediante La Utilización De Arrays De Micrófonos Circulares

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