Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Samarasinghe, Prasanga"'
Source Localization by Multidimensional Steered Response Power Mapping with Sparse Bayesian Learning
Autor:
Lai, Wei-Ting, Birnie, Lachlan, Chen, Xingyu, Bastine, Amy, Abhayapala, Thushara D., Samarasinghe, Prasanga N.
We propose an advance Steered Response Power (SRP) method for localizing multiple sources. While conventional SRP performs well in adverse conditions, it remains to struggle in scenarios with closely neighboring sources, resulting in ambiguous SRP ma
Externí odkaz:
http://arxiv.org/abs/2405.11792
Acoustic velocity vectors are important for human's localization of sound at low frequencies. This paper proposes a sound field reproduction algorithm, which matches the acoustic velocity vectors in a circular listening area. In previous work, acoust
Externí odkaz:
http://arxiv.org/abs/2403.12630
Autor:
Lai, Wei-Ting, Birnie, Lachlan, Abhayapala, Thushara, Bastine, Amy, Xu, Shaoheng, Samarasinghe, Prasanga
This paper presents a two-step approach for narrowband source localization within reverberant rooms. The first step involves dereverberation by modeling the homogeneous component of the sound field by an equivalent decomposition of planewaves using I
Externí odkaz:
http://arxiv.org/abs/2309.13819
Conventional multiple-point active noise control (ANC) systems require placing error microphones within the region of interest (ROI), inconveniencing users. This paper designs a feasible monitoring microphone arrangement placed outside the ROI, provi
Externí odkaz:
http://arxiv.org/abs/2309.10605
Head-related transfer functions (HRTFs) are crucial for spatial soundfield reproduction in virtual reality applications. However, obtaining personalized, high-resolution HRTFs is a time-consuming and costly task. Recently, deep learning-based methods
Externí odkaz:
http://arxiv.org/abs/2309.08290
Open sphere microphone arrays (OSMAs) are simple to design and do not introduce scattering fields, and thus can be advantageous than other arrays for implementing spatial acoustic algorithms under spherical model decomposition. However, an OSMA suffe
Externí odkaz:
http://arxiv.org/abs/2308.00242
Head-related transfer function (HRTF) capture the information that a person uses to localize sound sources in space, and thus is crucial for creating personalized virtual acoustic experiences. However, practical HRTF measurement systems may only meas
Externí odkaz:
http://arxiv.org/abs/2307.14650
Accurate estimation of the sound field around a rigid sphere necessitates adequate sampling on the sphere, which may not always be possible. To overcome this challenge, this paper proposes a method for sound field estimation based on a physics-inform
Externí odkaz:
http://arxiv.org/abs/2307.14013
Acoustic velocity vectors (AVVs) are related to the human's perception of sound at low frequencies and are widely used in Ambisonics. This paper proposes a spatial sound field reproduction algorithm called velocity matching, which reproduces the AVVs
Externí odkaz:
http://arxiv.org/abs/2307.07200
This paper presents the time-domain wideband spherical microphone array impulse response generator (TDW-SMIR generator), which is a time-domain wideband image source method (ISM) for generating the room impulse responses captured by an open spherical
Externí odkaz:
http://arxiv.org/abs/2306.09135