output
20162026
most citedMulti-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals

328 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2017Show all

2 papers · 1 filter

eess.AS2017★ 37 cited

Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation

Fabian-Robert Stöter, Soumitro Chakrabarty, Bernd Edler +1

The task of estimating the maximum number of concurrent speakers from single channel mixtures is important for various audio-based applications, such as blind source separation, sp…

cs.SD2017★ 288 cited

Broadband DOA estimation using Convolutional neural networks trained with noise signals

Soumitro Chakrabarty, Emanuël. A. P. Habets

A convolution neural network (CNN) based classification method for broadband DOA estimation is proposed, where the phase component of the short-time Fourier transform coefficients…