利用可佩戴麦克风阵列在双耳信号匹配中纳入信号信息的启示

Ami Berger, Vladimir Tourbabin, Jacob Donley, Zamir Ben-Hur, Boaz Rafaely
{"title":"利用可佩戴麦克风阵列在双耳信号匹配中纳入信号信息的启示","authors":"Ami Berger, Vladimir Tourbabin, Jacob Donley, Zamir Ben-Hur, Boaz Rafaely","doi":"arxiv-2409.11731","DOIUrl":null,"url":null,"abstract":"The increasing popularity of spatial audio in applications such as\nteleconferencing, entertainment, and virtual reality has led to the recent\ndevelopments of binaural reproduction methods. However, only a few of these\nmethods are well-suited for wearable and mobile arrays, which typically consist\nof a small number of microphones. One such method is binaural signal matching\n(BSM), which has been shown to produce high-quality binaural signals for\nwearable arrays. However, BSM may be suboptimal in cases of high\ndirect-to-reverberant ratio (DRR) as it is based on the diffuse sound field\nassumption. To overcome this limitation, previous studies incorporated\nsound-field models other than diffuse. However, this approach was not studied\ncomprehensively. This paper extensively investigates two BSM-based methods\ndesigned for high DRR scenarios. The methods incorporate a sound field model\ncomposed of direct and reverberant components.The methods are investigated both\nmathematically and using simulations, finally validated by a listening test.\nThe results show that the proposed methods can significantly improve the\nperformance of BSM , in particular in the direction of the source, while\npresenting only a negligible degradation in other directions. Furthermore, when\nsource direction estimation is inaccurate, performance of these methods degrade\nto equal that of the BSM, presenting a desired robustness quality.","PeriodicalId":501284,"journal":{"name":"arXiv - EE - Audio and Speech Processing","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Insights into the Incorporation of Signal Information in Binaural Signal Matching with Wearable Microphone Arrays\",\"authors\":\"Ami Berger, Vladimir Tourbabin, Jacob Donley, Zamir Ben-Hur, Boaz Rafaely\",\"doi\":\"arxiv-2409.11731\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing popularity of spatial audio in applications such as\\nteleconferencing, entertainment, and virtual reality has led to the recent\\ndevelopments of binaural reproduction methods. However, only a few of these\\nmethods are well-suited for wearable and mobile arrays, which typically consist\\nof a small number of microphones. One such method is binaural signal matching\\n(BSM), which has been shown to produce high-quality binaural signals for\\nwearable arrays. However, BSM may be suboptimal in cases of high\\ndirect-to-reverberant ratio (DRR) as it is based on the diffuse sound field\\nassumption. To overcome this limitation, previous studies incorporated\\nsound-field models other than diffuse. However, this approach was not studied\\ncomprehensively. This paper extensively investigates two BSM-based methods\\ndesigned for high DRR scenarios. The methods incorporate a sound field model\\ncomposed of direct and reverberant components.The methods are investigated both\\nmathematically and using simulations, finally validated by a listening test.\\nThe results show that the proposed methods can significantly improve the\\nperformance of BSM , in particular in the direction of the source, while\\npresenting only a negligible degradation in other directions. Furthermore, when\\nsource direction estimation is inaccurate, performance of these methods degrade\\nto equal that of the BSM, presenting a desired robustness quality.\",\"PeriodicalId\":501284,\"journal\":{\"name\":\"arXiv - EE - Audio and Speech Processing\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - EE - Audio and Speech Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.11731\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Audio and Speech Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着空间音频在电话会议、娱乐和虚拟现实等应用中的日益普及,双耳再现方法也随之发展起来。然而,只有少数方法非常适合通常由少量麦克风组成的可穿戴和移动阵列。其中一种方法是双耳信号匹配(BSM),这种方法已被证明可以为可穿戴阵列产生高质量的双耳信号。然而,由于双耳信号匹配法基于扩散声场假设,因此在直接与混响比(DRR)较高的情况下,双耳信号匹配法可能并不理想。为了克服这一局限性,以前的研究采用了扩散声场以外的声场模型。然而,这种方法并未得到全面研究。本文广泛研究了两种基于 BSM 的方法,它们设计用于高 DRR 场景。结果表明,所提出的方法可以显著提高 BSM 的性能,尤其是在声源方向上,而在其他方向上的性能下降可以忽略不计。此外,当声源方向估计不准确时,这些方法的性能会下降到与 BSM 相等,从而达到理想的鲁棒性质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insights into the Incorporation of Signal Information in Binaural Signal Matching with Wearable Microphone Arrays
The increasing popularity of spatial audio in applications such as teleconferencing, entertainment, and virtual reality has led to the recent developments of binaural reproduction methods. However, only a few of these methods are well-suited for wearable and mobile arrays, which typically consist of a small number of microphones. One such method is binaural signal matching (BSM), which has been shown to produce high-quality binaural signals for wearable arrays. However, BSM may be suboptimal in cases of high direct-to-reverberant ratio (DRR) as it is based on the diffuse sound field assumption. To overcome this limitation, previous studies incorporated sound-field models other than diffuse. However, this approach was not studied comprehensively. This paper extensively investigates two BSM-based methods designed for high DRR scenarios. The methods incorporate a sound field model composed of direct and reverberant components.The methods are investigated both mathematically and using simulations, finally validated by a listening test. The results show that the proposed methods can significantly improve the performance of BSM , in particular in the direction of the source, while presenting only a negligible degradation in other directions. Furthermore, when source direction estimation is inaccurate, performance of these methods degrade to equal that of the BSM, presenting a desired robustness quality.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信