摘要翻译:
声源波达方向(DOA)估计是声场分析中的一个重要步骤。刚性球形传声器阵列允许计算一个紧凑的球谐声场表示。分析使用这种阵列记录的声场的基本方法是转向响应功率(SRP)图,其中源DOA可以估计为使最大指向波束的输出功率最大的转向方向。这种方法计算成本很高,因为它需要在所有可能的方向上引导光束。本文提出了对SRP的扩展,即转向响应功率密度(SRPD)和一种信号自适应搜索方法,即分层网格细化(HiGRID),以减少DOA估计所需的转向方向数。该方法可以同时定位相干源和非相干源,同时联合提供场景中重要源的数目。结果表明,该方法对混响和加性白噪声具有较好的鲁棒性。在高混响条件下,用模拟和真实记录对所提出的方法进行了评估,并与现有方法进行了比较。
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英文标题:
《Multiple Sound Source Localisation with Steered Response Power Density
and Hierarchical Grid Refinement》
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作者:
Mert Burkay Coteli, Orhun Olgun and Huseyin Hacihabiboglu
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最新提交年份:
2018
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Sound 声音
分类描述:Covers all aspects of computing with sound, and sound as an information channel. Includes models of sound, analysis and synthesis, audio user interfaces, sonification of data, computer music, and sound signal processing. Includes ACM Subject Class H.5.5, and intersects with H.1.2, H.5.1, H.5.2, I.2.7, I.5.4, I.6.3, J.5, K.4.2.
涵盖了声音计算的各个方面,以及声音作为一种信息通道。包括声音模型、分析和合成、音频用户界面、数据的可听化、计算机音乐和声音信号处理。包括ACM学科类H.5.5,并与H.1.2、H.5.1、H.5.2、I.2.7、I.5.4、I.6.3、J.5、K.4.2交叉。
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一级分类:Computer Science 计算机科学
二级分类:Multimedia 多媒体
分类描述:Roughly includes material in ACM Subject Class H.5.1.
大致包括ACM学科类H.5.1中的材料。
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一级分类:Electrical Engineering and Systems Science 电气工程与系统科学
二级分类:Audio and Speech Processing 音频和语音处理
分类描述:Theory and methods for processing signals representing audio, speech, and language, and their applications. This includes analysis, synthesis, enhancement, transformation, classification and interpretation of such signals as well as the design, development, and evaluation of associated signal processing systems. Machine learning and pattern analysis applied to any of the above areas is also welcome. Specific topics of interest include: auditory modeling and hearing aids; acoustic beamforming and source localization; classification of acoustic scenes; speaker separation; active noise control and echo cancellation; enhancement; de-reverberation; bioacoustics; music signals analysis, synthesis and modification; music information retrieval; audio for multimedia and joint audio-video processing; spoken and written language modeling, segmentation, tagging, parsing, understanding, and translation; text mining; speech production, perception, and psychoacoustics; speech analysis, synthesis, and perceptual modeling and coding; robust speech recognition; speaker recognition and characterization; deep learning, online learning, and graphical models applied to speech, audio, and language signals; and implementation aspects ranging from system architecture to fast algorithms.
处理代表音频、语音和语言的信号的理论和方法及其应用。这包括分析、合成、增强、转换、分类和解释这些信号,以及相关信号处理系统的设计、开发和评估。机器学习和模式分析应用于上述任何领域也是受欢迎的。感兴趣的具体主题包括:听觉建模和助听器;声波束形成与声源定位;声场景分类;说话人分离;有源噪声控制和回声消除;增强;去混响;生物声学;音乐信号的分析、合成与修饰;音乐信息检索;多媒体音频和联合音视频处理;口语和书面语建模、切分、标注、句法分析、理解和翻译;文本挖掘;言语产生、感知和心理声学;语音分析、合成、感知建模和编码;鲁棒语音识别;说话人识别与特征描述;应用于语音、音频和语言信号的
深度学习、在线学习和图形模型;以及从系统架构到快速算法的实现方面。
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英文摘要:
Estimation of the direction-of-arrival (DOA) of sound sources is an important step in sound field analysis. Rigid spherical microphone arrays allow the calculation of a compact spherical harmonic representation of the sound field. A basic method for analysing sound fields recorded using such arrays is steered response power (SRP) maps wherein the source DOA can be estimated as the steering direction that maximises the output power of a maximally-directive beam. This approach is computationally costly since it requires steering the beam in all possible directions. This paper presents an extension to SRP called steered response power density (SRPD) and an associated, signal-adaptive search method called hierarchical grid refinement (HiGRID) for reducing the number of steering directions needed for DOA estimation. The proposed method can localise coherent as well as incoherent sources while jointly providing the number of prominent sources in the scene. It is shown to be robust to reverberation and additive white noise. An evaluation of the proposed method using simulations and real recordings under highly reverberant conditions as well as a comparison with state- of-the-art methods are presented.
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PDF链接:
https://arxiv.org/pdf/1803.01339