328 citations · 732 across the 8 of their papers we have counts for
3 papers · 1 filter
Multi-Speaker Localization Using Convolutional Neural Network Trained with Noise
Soumitro Chakrabarty, Emanuël A. P. Habets
The problem of multi-speaker localization is formulated as a multi-class multi-label classification problem, which is solved using a convolutional neural network (CNN) based source…
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…
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…