3 papers
cs.SD2018
Deep neural network based speech separation optimizing an objective estimator of intelligibility for low latency applications
Gaurav Naithani, Joonas Nikunen, Lars Bramsløw +1
Mean square error (MSE) has been the preferred choice as loss function in the current deep neural network (DNN) based speech separation techniques. In this paper, we propose a new…
cs.SD2018
Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks
Sharath Adavanne, Archontis Politis, Joonas Nikunen +1
In this paper, we propose a convolutional recurrent neural network for joint sound event localization and detection (SELD) of multiple overlapping sound events in three-dimensional…
cs.SD2017
Separation of Moving Sound Sources Using Multichannel NMF and Acoustic Tracking
Joonas Nikunen, Aleksandr Diment, Tuomas Virtanen
In this paper we propose a method for separation of moving sound sources. The method is based on first tracking the sources and then estimation of source spectrograms using multich…