Jakub Janský

According to our database, Jakub Janský authored at least 10 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Target Speech Extraction: Independent Vector Extraction Guided by Supervised Speaker Identification.

Jirí Málek, Jakub Janský, Zbynek Koldovský, Tomás Kounovský, Jaroslav Cmejla, Jindrich Zdánský

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Auxiliary function-based algorithm for blind extraction of a moving speaker.

Jakub Janský, Zbynek Koldovský, Jirí Málek, Tomás Kounovský, Jaroslav Cmejla

EURASIP J. Audio Speech Music. Process., 2022

2021

Blind Extraction of Target Speech Source Guided by Supervised Speaker Identification via X-vectors.

Jirí Málek, Jakub Janský, Zbynek Koldovský, Tomás Kounovský, Jaroslav Cmejla, Jindrich Zdánský

CoRR, 2021

Advanced Semi-Blind Speaker Extraction and Tracking Implemented in Experimental Device with Revolving Dense Microphone Array.

Jaroslav Cmejla, Tomás Kounovský, Jakub Janský, Jirí Málek, M. Rozkovec, Zbynek Koldovský

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Blind Extraction of Moving Audio Source in a Challenging Environment Supported by Speaker Identification Via X-Vectors.

Jirí Málek, Jakub Janský, Tomás Kounovský, Zbynek Koldovský, Jindrich Zdánský

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Adaptive Blind Audio Source Extraction Supervised By Dominant Speaker Identification Using X-Vectors.

Jakub Janský, Jirí Málek, Jaroslav Cmejla, Tomás Kounovský, Zbynek Koldovský, Jindrich Zdánský

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Extraction of Independent Vector Component from Underdetermined Mixtures through Block-wise Determined Modeling.

Zbynek Koldovský, Jirí Málek, Jakub Janský

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Blind Source Separation Using Incomplete De-mixing Transform with a Precise Approach for Selecting Constrained Sets of Frequencies.

Jakub Janský, Zbynek Koldovský

Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

2016

A computationally cheaper method for blind speech separation based on AuxIVA and incomplete demixing transform.

Jakub Janský, Zbynek Koldovský, Nobutaka Ono

Proceedings of the IEEE International Workshop on Acoustic Signal Enhancement, 2016

2015

A Local Model of Relative Transfer Functions Involving Sparsity.

Zbynek Koldovský, Jakub Janský, Francesco Nesta

Proceedings of the Latent Variable Analysis and Signal Separation, 2015