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An overview of machine learning and other data-based methods for spatial audio capture, processing, and reproduction
The domain of spatial audio comprises methods for capturing, processing, and reproducing
audio content that contains spatial information. Data-based methods are those that operate …
audio content that contains spatial information. Data-based methods are those that operate …
Ensemble of ACCDOA-and EINV2-based systems with D3Nets and impulse response simulation for sound event localization and detection
This report describes our systems submitted to the DCASE2021 challenge task 3: sound
event localization and detection (SELD) with directional interference. Our previous system …
event localization and detection (SELD) with directional interference. Our previous system …
Acoustic source localization in the spherical harmonics domain exploiting low-rank approximations
Acoustic signal processing in the spherical harmonics domain (SHD) is an active research
area that exploits the signals acquired by higher order microphone arrays. A very important …
area that exploits the signals acquired by higher order microphone arrays. A very important …
[HTML][HTML] Spherical-harmonics-based sound field decomposition and multichannel nmf for sound source separation
In the context of source separation solutions for virtual reality applications, several
techniques in the spherical harmonics domain have been proposed in the literature. The …
techniques in the spherical harmonics domain have been proposed in the literature. The …
Spatial data augmentation with simulated room impulse responses for sound event localization and detection
Y Koyama, K Shigemi, M Takahashi… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Recording and annotating real sound events for a sound event localization and detection
(SELD) task is time consuming, and data augmentation techniques are often favored when …
(SELD) task is time consuming, and data augmentation techniques are often favored when …
Semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation
The recently proposed semi-blind source separation (SBSS) method for nonlinear acoustic
echo cancellation (NAEC) outperforms adaptive NAEC in attenuating the nonlinear acoustic …
echo cancellation (NAEC) outperforms adaptive NAEC in attenuating the nonlinear acoustic …
Direction specific ambisonics source separation with end-to-end deep learning
Ambisonics is a scene-based spatial audio format that has several useful features compared
to object-based formats, such as efficient whole scene rotation and versatility. However, it …
to object-based formats, such as efficient whole scene rotation and versatility. However, it …
A physics-informed neural network-based approach for the spatial upsampling of spherical microphone arrays
Spherical microphone arrays are convenient tools for capturing the spatial characteristics of
a sound field. However, achieving superior spatial resolution requires arrays with numerous …
a sound field. However, achieving superior spatial resolution requires arrays with numerous …
面向卷积混叠环境下的盲源分离新方法
解元， 邹涛， 孙为军， 谢胜利 - 自动化学报, 2023 - aas.net.cn
卷积混叠环境下的盲源分离(Blind source separation, BSS) 是一个极具挑战性和实际意义的
问题. 本文在独立分量分析框架下, 建立非负矩阵分解(Nonnegative matrix factorization, NMF) …
问题. 本文在独立分量分析框架下, 建立非负矩阵分解(Nonnegative matrix factorization, NMF) …
Efficient FPGA implementation for sound source separation using direction-informed multichannel non-negative matrix factorization
Sound source separation (SSS) is a fundamental problem in audio signal processing,
aiming to recover individual audio sources from a given mixture. A promising approach is …
aiming to recover individual audio sources from a given mixture. A promising approach is …