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Soft Label Coding for End-to-end Sound Source Localization With Ad-hoc Microphone Arrays
The core idea is to take the geometric connection between the classes into the label coding process. The first one is named static soft label coding (SSLC), which modifies the one-hot codes into soft codes based on the distances between the local areas.
Deep Learning Based Stage-wise Two-dimensional Speaker Localization with Large Ad-hoc Microphone Arrays
To further boost the estimation accuracy, we introduce a node selection algorithm that strategically filters the most reliable nodes.
End-to-end Two-dimensional Sound Source Localization With Ad-hoc Microphone Arrays
Accordingly, the sound source localization problem is formulated as such a classification task of recognizing the one-hot code of the speaker given the one hot codes of the microphone nodes and their speech recordings.
