Tomorrow our team members are heading to Incheon in South Korea to attend the upcoming INTERSPEECH 2022 conference. Meet Magdalen Rybicka, Julitta Bartolewska, Mieszko Fraś, Mateusz Guzik, Marcin Witkowski, Stanisław Kacprzak and Konrad Kowalczyk personally at INTERSPEECH 2022 to talk about their research on speaker diarization, speech separation, dereverberation and denoising using deep learning, hybrid, and other machine learning approaches.
4 papers will be presented on:
Monday, September 19, 11:00-13:00(KST), On-Site Poster: Source Separation II
Paper 10526: on NTF of Spectral and Spatial Features for Tracking and Separation of Moving Sound Sources in Spherical Harmonic Domain by Mateusz Guzik and Konrad Kowalczyk
Wednesday, September 21, 10:00-12:00(KST), On-Site Poster: Single-channel and multi-channel Speech Enhancement
Paper: 10632 on Refining DNN-based Mask Estimation using CGMM-based EM Algorithm for Multi-channel Noise Reduction, Julitta Bartolewska, Stanisław Kacprzak, and Konrad Kowalczyk
Wednesday, September 21, 10:00-12:00(KST), On-Site Poster: Single-channel and multi-channel Speech Enhancement
Paper: 10780 on Convolutive Weighted Multichannel Wiener Filter Front-end for Distant Automatic Speech Recognition in Reverberant Multispeaker Scenarios by Mieszko Fraś, Marcin Witkowski, and Konrad Kowalczyk
Thursday, September 22, 13:30-15:30(KST), On-Site Poster: Speaker Recognition and Diarization
Paper: 10169 on End-to-End Neural Speaker Diarization with an Iterative Refinement of Non-Autoregressive Attention-based Attractors by Magdalena Rybicka, Jesus Villalba (Johns Hopkins University), Najim Dehak (Johns Hopkins University), and Konrad Kowalczyk