Binaural Rendering From Distributed Microphone Signals Considering Loudspeaker Distance in Measurements

Naoto Iijima, Shoichi Koyama, H. Saruwatari
{"title":"Binaural Rendering From Distributed Microphone Signals Considering Loudspeaker Distance in Measurements","authors":"Naoto Iijima, Shoichi Koyama, H. Saruwatari","doi":"10.1109/MMSP48831.2020.9287157","DOIUrl":null,"url":null,"abstract":"A method of binaural rendering from distributed microphone recordings that takes loudspeaker distance for measuring head-related transfer function (HRTF) into consideration is proposed. In general, to reproduce the binaural signals from the signals captured by multiple microphones in the recording area, the captured sound field is represented by plane-wave decomposition. Thus, HRTF is approximated as a transfer function from a plane-wave source in binaural rendering. To incorporate the distance in HRTF measurements, we propose a method based on the spherical-wave decomposition of a sound field, in which the HRTF is assumed to be measured from a point source. Result of experiments using HRTFs calculated by the boundary element method indicated that the accuracy of binaural signal reproduction by the proposed method based on the spherical-wave decomposition was higher than that by the plane-wave-decomposition-based method. We also evaluate the performance of signal conversion from distributed microphone measurements into binaural signals.","PeriodicalId":188283,"journal":{"name":"2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP48831.2020.9287157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A method of binaural rendering from distributed microphone recordings that takes loudspeaker distance for measuring head-related transfer function (HRTF) into consideration is proposed. In general, to reproduce the binaural signals from the signals captured by multiple microphones in the recording area, the captured sound field is represented by plane-wave decomposition. Thus, HRTF is approximated as a transfer function from a plane-wave source in binaural rendering. To incorporate the distance in HRTF measurements, we propose a method based on the spherical-wave decomposition of a sound field, in which the HRTF is assumed to be measured from a point source. Result of experiments using HRTFs calculated by the boundary element method indicated that the accuracy of binaural signal reproduction by the proposed method based on the spherical-wave decomposition was higher than that by the plane-wave-decomposition-based method. We also evaluate the performance of signal conversion from distributed microphone measurements into binaural signals.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
测量中考虑扬声器距离的分布式传声器信号双耳渲染
提出了一种考虑扬声器距离测量头部相关传递函数(HRTF)的分布式传声器录音双耳渲染方法。一般来说,为了从录音区域内多个麦克风捕获的信号中再现双耳信号,捕获的声场用平面波分解表示。因此,在双耳渲染中,HRTF近似为来自平面波源的传递函数。为了在HRTF测量中考虑距离,我们提出了一种基于声场球波分解的方法,其中假设HRTF是从点源测量的。用边界元法计算HRTFs的实验结果表明,基于球波分解的双耳信号再现精度高于基于平面波分解的双耳信号再现精度。我们还评估了从分布式麦克风测量信号转换成双耳信号的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Leveraging Active Perception for Improving Embedding-based Deep Face Recognition Subjective Test Dataset and Meta-data-based Models for 360° Streaming Video Quality The Suitability of Texture Vibrations Based on Visually Perceived Virtual Textures in Bimodal and Trimodal Conditions DEMI: Deep Video Quality Estimation Model using Perceptual Video Quality Dimensions Learned BRIEF – transferring the knowledge from hand-crafted to learning-based descriptors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1