Octant Spherical Harmonics Features for Source Localization using Artificial Intelligence based on Unified Learning Framework
Recent advancements in artificial intelligence (AI) have shown potential solutions to acoustic
source localization in three-dimensional space. This paper proposes a new low-complex AI …
source localization in three-dimensional space. This paper proposes a new low-complex AI …
Point neuron learning: a new physics-informed neural network architecture
H Bi, TD Abhayapala - EURASIP Journal on Audio, Speech, and Music …, 2024 - Springer
Abstract Machine learning and neural networks have advanced numerous research
domains, but challenges such as large training data requirements and inconsistent model …
domains, but challenges such as large training data requirements and inconsistent model …
Improving Source Tracking Accuracy through Learning-Based Estimation Methods in SH Domain: A Comparative Study
Acoustic source tracking is significant across applications like surveillance,
teleconferencing, and robot audition, yet the complexity introduced by reverberation …
teleconferencing, and robot audition, yet the complexity introduced by reverberation …
[PDF][PDF] Learning-based masking for reliable source localization interfered by undesired directional noise
It is incredibly challenging to simultaneously locate an acoustic source in a noisy,
reverberant environment and mitigates directional interference. The proposed study uses a …
reverberant environment and mitigates directional interference. The proposed study uses a …
Direction of arrival estimation using convolutional recurrent neural network with relative harmonic coefficients and triplet loss in noisy and reverberating environments
L Cattaneo - 2022 - politesi.polimi.it
The problem of source localization in noisy and reverberating envi-ronments is still an open
and challenging problem in the signal processing field. Typically, the identification of the so …
and challenging problem in the signal processing field. Typically, the identification of the so …