Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization
A single room impulse response can reveal information about the acoustics of a given space in both objective, and, when used for auralization, subjective terms. However, for additional spatial information, or more accurate and perceptually convincing auralization, multiple impulse responses are need...
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Veröffentlicht in: | IEEE transactions on audio, speech, and language processing speech, and language processing, 2012-11, Vol.20 (9), p.2420-2432 |
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description | A single room impulse response can reveal information about the acoustics of a given space in both objective, and, when used for auralization, subjective terms. However, for additional spatial information, or more accurate and perceptually convincing auralization, multiple impulse responses are needed. Higher order Ambisonics is a robust means of capturing the spatial qualities of an acoustic space over multiple channels for decoding and rendering over many possible speaker layouts. A method for obtaining N th-order Ambisonic impulse responses from a room acoustic model, based on lower orders using differential microphone techniques is presented. This is tested using a third-order encoding of a 2-D finite difference time domain room acoustic simulation based on multiple circular arrays of receivers. Accurate channel directional profiles are obtained and results are verified in a series of listening tests comparing the localization of a sound source placed within the given simulation to the same source encoded directly. This generic encoding scheme can be applied to any room acoustic simulation technique where it is possible to obtain impulse responses across multiple receiver positions. Although the proposed method encompasses horizontal encoding only, it can also be applied directly in 3-D simulations where height information is not required in the final auralization. |
doi_str_mv | 10.1109/TASL.2012.2203806 |
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However, for additional spatial information, or more accurate and perceptually convincing auralization, multiple impulse responses are needed. Higher order Ambisonics is a robust means of capturing the spatial qualities of an acoustic space over multiple channels for decoding and rendering over many possible speaker layouts. A method for obtaining N th-order Ambisonic impulse responses from a room acoustic model, based on lower orders using differential microphone techniques is presented. This is tested using a third-order encoding of a 2-D finite difference time domain room acoustic simulation based on multiple circular arrays of receivers. Accurate channel directional profiles are obtained and results are verified in a series of listening tests comparing the localization of a sound source placed within the given simulation to the same source encoded directly. 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Although the proposed method encompasses horizontal encoding only, it can also be applied directly in 3-D simulations where height information is not required in the final auralization.</description><subject>Acoustic</subject><subject>Acoustics</subject><subject>Applied sciences</subject><subject>auralization</subject><subject>Coding, codes</subject><subject>Encoding</subject><subject>Exact sciences and technology</subject><subject>FDTD</subject><subject>Finite difference methods</subject><subject>Information, signal and communications theory</subject><subject>Mathematical model</subject><subject>Microphones</subject><subject>Miscellaneous</subject><subject>Receivers</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>spatial encoding</subject><subject>Telecommunications and information theory</subject><subject>Time domain analysis</subject><issn>1558-7916</issn><issn>1558-7924</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kDFPwzAQhS0EEqXwAxCLF8YU27GdeIxKC0hFSLTM0cU5I6M0rux0gF9Pqlad7u7de2_4CLnnbMY5M0-bar2aCcbFTAiWl0xfkAlXqswKI-Tleef6mtyk9MOYzLXkE_K53sHgoaOL3obW9980OLr0vR-QPnvnMGJvkW78drzDFnxPKxv2afCWvocWu0RdiLTaR-j831gV-lty5aBLeHeaU_K1XGzmr9nq4-VtXq0yKzgbsrZVVjLXGjRCgVKFdQ2Miig0OMUdlwZyMI3QxugSrcECXNEoaXSDqEQ-JfzYa2NIKaKrd9FvIf7WnNUHKPUBSn2AUp-gjJnHY2YHyULnIvTWp3NQaCWVKfPR93D0eUQ8v7XgUpVF_g--TWtY</recordid><startdate>201211</startdate><enddate>201211</enddate><creator>Southern, Alex</creator><creator>Murphy, Damian T.</creator><creator>Savioja, Lauri</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201211</creationdate><title>Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization</title><author>Southern, Alex ; Murphy, Damian T. ; Savioja, Lauri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c210t-dd5c40fd9e925a557cfbac40276af51f149a3a9b269968ec9e7af7b5496bee523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Acoustic</topic><topic>Acoustics</topic><topic>Applied sciences</topic><topic>auralization</topic><topic>Coding, codes</topic><topic>Encoding</topic><topic>Exact sciences and technology</topic><topic>FDTD</topic><topic>Finite difference methods</topic><topic>Information, signal and communications theory</topic><topic>Mathematical model</topic><topic>Microphones</topic><topic>Miscellaneous</topic><topic>Receivers</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>spatial encoding</topic><topic>Telecommunications and information theory</topic><topic>Time domain analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Southern, Alex</creatorcontrib><creatorcontrib>Murphy, Damian T.</creatorcontrib><creatorcontrib>Savioja, Lauri</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE/IET Electronic Library</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>IEEE transactions on audio, speech, and language processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Southern, Alex</au><au>Murphy, Damian T.</au><au>Savioja, Lauri</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization</atitle><jtitle>IEEE transactions on audio, speech, and language processing</jtitle><stitle>TASL</stitle><date>2012-11</date><risdate>2012</risdate><volume>20</volume><issue>9</issue><spage>2420</spage><epage>2432</epage><pages>2420-2432</pages><issn>1558-7916</issn><eissn>1558-7924</eissn><coden>ITASD8</coden><abstract>A single room impulse response can reveal information about the acoustics of a given space in both objective, and, when used for auralization, subjective terms. However, for additional spatial information, or more accurate and perceptually convincing auralization, multiple impulse responses are needed. Higher order Ambisonics is a robust means of capturing the spatial qualities of an acoustic space over multiple channels for decoding and rendering over many possible speaker layouts. A method for obtaining N th-order Ambisonic impulse responses from a room acoustic model, based on lower orders using differential microphone techniques is presented. This is tested using a third-order encoding of a 2-D finite difference time domain room acoustic simulation based on multiple circular arrays of receivers. Accurate channel directional profiles are obtained and results are verified in a series of listening tests comparing the localization of a sound source placed within the given simulation to the same source encoded directly. 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subjects | Acoustic Acoustics Applied sciences auralization Coding, codes Encoding Exact sciences and technology FDTD Finite difference methods Information, signal and communications theory Mathematical model Microphones Miscellaneous Receivers Signal and communications theory Signal processing spatial encoding Telecommunications and information theory Time domain analysis |
title | Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization |
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