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Found 4 papers, 1 papers with code
Distributed Speech Dereverberation Using Weighted Prediction Error
However, in scenarios where microphone nodes are dispersed, the centralized approach of the WPE method requires aggregating all observations for inverse filtering, resulting in a significant computational burden.
Libri-adhoc40: A dataset collected from synchronized ad-hoc microphone arrays
We trained several multi-device speech recognition systems on both the Libri-adhoc40 dataset and a simulated dataset.
Deep Ad-hoc Beamforming Based on Speaker Extraction for Target-Dependent Speech Separation
In this paper, we propose deep ad-hoc beamforming based on speaker extraction, which is to our knowledge the first work for target-dependent speech separation based on ad-hoc microphone arrays and deep learning.
Multi-channel Speech Separation Using Deep Embedding Model with Multilayer Bootstrap Networks
To deal with the problem, we propose a variant of DPCL, named DPCL++, by applying a recent unsupervised deep learning method---multilayer bootstrap networks(MBN)---to further reduce the noise and small variations of the embedding vectors in an unsupervised way in the test stage, which fascinates k-means to produce a good result.
