21 citations · 154 across the 60 of their papers we have counts for
4 papers · 1 filter
Practical applicability of deep neural networks for overlapping speaker separation
Pieter Appeltans, Jeroen Zegers, Hugo Van hamme
This paper examines the applicability in realistic scenarios of two deep learning based solutions to the overlapping speaker separation problem. Firstly, we present experiments tha…
CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization
Jeroen Zegers, Hugo Van hamme
In recent years there have been many deep learning approaches towards the multi-speaker source separation problem. Most use Long Short-Term Memory - Recurrent Neural Networks (LSTM…
Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events
Wim Boes, Hugo Van hamme
We tackle the task of environmental event classification by drawing inspiration from the transformer neural network architecture used in machine translation. We modify this attenti…
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models
Janneke van de Loo, Jort F. Gemmeke, Guy De Pauw +3
We present a framework for the induction of semantic frames from utterances in the context of an adaptive command-and-control interface. The system is trained on an individual user…