Browsing by Author "Koldovský Zbyněk"
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- Item12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2015(2015-01-01) Koldovský Zbyněk; Yeredor A.; Vincent E.
- ItemA local model of relative transfer functions involving sparsity(Springer Verlag, 2015-01-01) Koldovský Zbyněk; Janský Jakub; Nesta F.
- ItemAdaptive acoustic metasurfaces for the active sound field control(Asociación de Acústicos Argentinos, 2016-01-01) Steiger Kateřina; Mokrý Pavel; Václavík Jan; Psota Pavel; Doleček Roman; Vápenka David; Nečásek Jakub; Koldovský Zbyněk
- ItemAdaptive blind audio source extraction supervised by dominant speaker identification using x-vectors(IEEE, 2020-01-01) Janský Jakub; Málek Jiří; Čmejla Jaroslav; Kounovský Tomáš; Koldovský Zbyněk; Žďánský Jindřich
- ItemAdaptive Blind Separation of Instantaneous Linear Mixtures of Independent Sources(Springer Verlag, 2017-01-01) Šembera Ondřej; Tichavský Petr; Koldovský Zbyněk
- ItemAdvanced semi-blind speaker extraction and tracking implemented in experimental device with revolving dense microphone array(International Speech Communication Association, 2021-01-01) Čmejla Jaroslav; Kounovský Tomáš; Janský Jakub; Málek Jiří; Rozkovec Martin; Koldovský Zbyněk
- ItemAlgorithm for Independent Vector Extraction Based on Semi-Time-Variant Mixing Model(Eurasip, 2021-01-01) Koldovský Zbyněk; Kautský Václav; Kounovský Tomáš; Čmejla Jaroslav
- ItemApproximate MVDR and MMSE Beamformers Exploiting Scale-Invariant Reconstruction of Signals on Microphones(Institute of Electrical and Electronics Engineers Inc., 2016-01-01) Koldovský Zbyněk; Nesta F.
- ItemAudio/Video Supervised Independent Vector Analysis through multimodal pilot dependent components(2017-01-01) Nesta Francesco; Mosayyebpour Saeed; Koldovský Zbyněk; Paleček KarelIndependent Vector Analysis is a powerful tool for estimating the broadband acoustic transfer function between multiple sources and the microphones in the frequency domain. In this work, we consider an extended IVA model which adopts the concept of pilot dependent signals. Without imposing any constraint on the de-mixing system, pilot signals depending on the target source are injected into the model enforcing the permutation of outputs to be consistent over time. A neural network trained on acoustic data and a lip motion detection are jointly used to produce a multimodal pilot signal dependent on the target source. It is shown through experimental results that this structure allows the enhancement of a predefined target source in very difficult and ambiguous scenarios.
- ItemAuxiliary Function-Based Algorithm for Blind Extraction of a Moving Speaker(Springer, 2021-01-01) Janský Jakub; Koldovský Zbyněk; Málek Jiří; Kounovský Tomáš; Čmejla Jaroslav
- ItemBlind extraction of moving audio source in a challenging environment supported by speaker identification via X-vectors(IEEE, 2021-01-01) Málek Jiří; Janský Jakub; Kounovský Tomáš; Koldovský Zbyněk; Žďánský Jindřich
- ItemBlind Extraction of Moving Sources via Independent Component and Vector Analysis: Examples(IEEE, 2021-01-01) Amor Nesrine; Čmejla Jaroslav; Kautský Václav; Koldovský Zbyněk; Kounovský Tomáš
- ItemBlind Separation of Underdetermined Linear Mixtures Based on Source Nonstationarity and AR(1) Modeling(Institute of Electrical and Electronics Engineers Inc., 2016-01-01) Šembera Ondřej; Tichavský Petr; Koldovský Zbyněk
- ItemBlind Source Separation Using Incomplete De-Mixing Transform with a Precise Approach for Selecting Constrained Sets of Frequencies(2018-01-01) Janský Jakub; Koldovský Zbyněk
- ItemBlock-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function Estimates(Institution of Engineering and Technology, 2020-01-01) Málek Jiří; Koldovský Zbyněk; Boháč Marek
- ItemCHiME4: Multichannel Enhancement Using Beamforming Driven by a DNN-based Voice Activity Detector(2016-01-01) Koldovský Zbyněk; Málek Jiří; Boháč Marek; Janský Jakub
- ItemCompensation of Nonlinear Distortions in Speech for Automatic Recognition(Institute of Electrical and Electronics Engineers Inc., 2015-01-01) Málek Jiří; Silovský Jan; Červa Petr; Koldovský Zbyněk; Nouza Jan; Žďánský Jindřich
- ItemA Computationally Cheaper Method for Blind Speech Separation Based On AuxIVA and Incomplete Demixing Transform(Institute of Electrical and Electronics Engineers Inc., 2016-01-01) Janský Jakub; Koldovský Zbyněk; Ono Nobutaka
- ItemCramér-Rao Bounds for Complex-Valued Independent Component Extraction: Determined and Piecewise Determined Mixing Models(IEEE, 2020-01-01) Kautský Václav; Koldovský Zbyněk; Tichavský Petr; Zarzoso Vicente
- ItemCramér-Rao-Induced Bound for Interference-to-Signal Ratio Achievable Through Non-Gaussian Independent Component Extraction(2017-01-01) Kaucký Václav; Koldovský Zbyněk; Tichavský Petr
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