Spatial Analysis and Synthesis Methods: Subjective and Objective Evaluations Using Various Microphone Arrays in the Auralization of a Critical Listening Room

IF 4.1 2区 计算机科学 Q1 ACOUSTICS IEEE/ACM Transactions on Audio, Speech, and Language Processing Pub Date : 2024-08-23 DOI:10.1109/TASLP.2024.3449037
Alan Pawlak;Hyunkook Lee;Aki Mäkivirta;Thomas Lund
{"title":"Spatial Analysis and Synthesis Methods: Subjective and Objective Evaluations Using Various Microphone Arrays in the Auralization of a Critical Listening Room","authors":"Alan Pawlak;Hyunkook Lee;Aki Mäkivirta;Thomas Lund","doi":"10.1109/TASLP.2024.3449037","DOIUrl":null,"url":null,"abstract":"Parametric sound field reproduction methods, such as the Spatial Decomposition Method (SDM) and Higher-Order Spatial Impulse Response Rendering (HO-SIRR), are widely used for the analysis and auralization of sound fields. This paper studies the performance of various sound field reproduction methods in the context of the auralization of a critical listening room, focusing on fixed head orientations. The influence on the perceived spatial and timbral fidelity of the following factors is considered: the rendering framework, direction of arrival (DOA) estimation method, microphone array structure, and use of a dedicated center reference microphone with SDM. Listening tests compare the synthesized sound fields to a reference binaural rendering condition, all for static head positions. Several acoustic parameters are measured to gain insights into objective differences between methods. All systems were distinguishable from the reference in perceptual tests. A high-quality pressure microphone improves the SDM framework's timbral fidelity, and spatial fidelity in certain scenarios. Additionally, SDM and HO-SIRR show similarities in spatial fidelity. Performance variation between SDM configurations is influenced by the DOA estimation method and microphone array construction. The binaural SDM (BSDM) presentations display temporal artifacts impacting sound quality.","PeriodicalId":13332,"journal":{"name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","volume":"32 ","pages":"3986-4001"},"PeriodicalIF":4.1000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10645201","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10645201/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0

Abstract

Parametric sound field reproduction methods, such as the Spatial Decomposition Method (SDM) and Higher-Order Spatial Impulse Response Rendering (HO-SIRR), are widely used for the analysis and auralization of sound fields. This paper studies the performance of various sound field reproduction methods in the context of the auralization of a critical listening room, focusing on fixed head orientations. The influence on the perceived spatial and timbral fidelity of the following factors is considered: the rendering framework, direction of arrival (DOA) estimation method, microphone array structure, and use of a dedicated center reference microphone with SDM. Listening tests compare the synthesized sound fields to a reference binaural rendering condition, all for static head positions. Several acoustic parameters are measured to gain insights into objective differences between methods. All systems were distinguishable from the reference in perceptual tests. A high-quality pressure microphone improves the SDM framework's timbral fidelity, and spatial fidelity in certain scenarios. Additionally, SDM and HO-SIRR show similarities in spatial fidelity. Performance variation between SDM configurations is influenced by the DOA estimation method and microphone array construction. The binaural SDM (BSDM) presentations display temporal artifacts impacting sound quality.
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
空间分析与合成方法:在临界聆听室的听觉化过程中使用各种麦克风阵列进行主观和客观评估
参数声场再现方法,如空间分解法(SDM)和高阶空间脉冲响应渲染法(HO-SIRR),被广泛用于声场分析和听觉化。本文研究了各种声场再现方法在临界聆听室听觉化背景下的性能,重点是固定的头部方向。本文考虑了以下因素对感知空间和音色保真度的影响:渲染框架、到达方向(DOA)估计方法、麦克风阵列结构,以及使用带有 SDM 的专用中心参考麦克风。听力测试将合成声场与参考双耳渲染条件进行比较,所有测试均针对静态头部位置。为了深入了解不同方法之间的客观差异,对几个声学参数进行了测量。在感知测试中,所有系统都能与参考系统区分开来。高质量的压力麦克风提高了 SDM 框架的音色保真度,并在某些情况下提高了空间保真度。此外,SDM 和 HO-SIRR 在空间保真度方面也有相似之处。SDM 配置之间的性能差异受到 DOA 估算方法和麦克风阵列结构的影响。双耳 SDM(BSDM)演示显示出影响音质的时间伪影。
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
IEEE/ACM Transactions on Audio, Speech, and Language Processing
IEEE/ACM Transactions on Audio, Speech, and Language Processing ACOUSTICS-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
11.30
自引率
11.10%
发文量
217
期刊介绍: The IEEE/ACM Transactions on Audio, Speech, and Language Processing covers audio, speech and language processing and the sciences that support them. In audio processing: transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. In speech processing: areas such as speech analysis, synthesis, coding, speech and speaker recognition, speech production and perception, and speech enhancement. In language processing: speech and text analysis, understanding, generation, dialog management, translation, summarization, question answering and document indexing and retrieval, as well as general language modeling.
期刊最新文献
CLAPSep: Leveraging Contrastive Pre-Trained Model for Multi-Modal Query-Conditioned Target Sound Extraction Enhancing Robustness of Speech Watermarking Using a Transformer-Based Framework Exploiting Acoustic Features FTDKD: Frequency-Time Domain Knowledge Distillation for Low-Quality Compressed Audio Deepfake Detection ELSF: Entity-Level Slot Filling Framework for Joint Multiple Intent Detection and Slot Filling Proper Error Estimation and Calibration for Attention-Based Encoder-Decoder Models
×
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