Search Results - Mosner, Ladislav

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  1. 1
    Speech-Based Emotion Recognition with Self-Supervised Models Using Attentive Channel-Wise Correlations and Label Smoothing

    Speech-Based Emotion Recognition with Self-Supervised Models Using Attentive Channel-Wise Correlations and Label Smoothing by Kakouros, Sofoklis, Stafylakis, Themos, Mosner, Ladislav, Burget, Lukas

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  2. 2
    Parameter-Efficient Transfer Learning of Pre-Trained Transformer Models for Speaker Verification Using Adapters

    Parameter-Efficient Transfer Learning of Pre-Trained Transformer Models for Speaker Verification Using Adapters by Peng, Junyi, Stafylakis, Themos, Gu, Rongzhi, Plchot, Oldrich, Mosner, Ladislav, Burget, Lukas, Cernocky, Jan

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  3. 3
    Improving Noise Robustness of Automatic Speech Recognition via Parallel Data and Teacher-student Learning

    Improving Noise Robustness of Automatic Speech Recognition via Parallel Data and Teacher-student Learning by Mosner, Ladislav, Wu, Minhua, Raju, Anirudh, Krishnan Parthasarathi, Sree Hari, Kumatani, Kenichi, Sundaram, Shiva, Maas, Roland, Hoffmeister, Bjorn

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  4. 4
    Multisv: Dataset for Far-Field Multi-Channel Speaker Verification

    Multisv: Dataset for Far-Field Multi-Channel Speaker Verification by Mosner, Ladislav, Plchot, Oldrich, Burget, Lukas, Cernocky, Jan Honza

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  5. 5
    13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE

    13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE by Matějka, Pavel, Plchot, Oldřich, Glembek, Ondřej, Burget, Lukáš, Rohdin, Johan, Zeinali, Hossein, Mošner, Ladislav, Silnova, Anna, Novotný, Ondřej, Diez, Mireia, “Honza” Černocký, Jan

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  6. 6
    Dereverberation and Beamforming in Far-Field Speaker Recognition

    Dereverberation and Beamforming in Far-Field Speaker Recognition by Mosner, Ladislav, Matejka, Pavel, Novotny, Ondrej, Cernocky, Jan Honza

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  7. 7
    Building and evaluation of a real room impulse response dataset

    Building and evaluation of a real room impulse response dataset by Szoke, Igor, Skacel, Miroslav, Mosner, Ladislav, Paliesek, Jakub, Cernocky, Jan

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  8. 8
    Multi-Channel Speaker Verification with Conv-Tasnet Based Beamformer

    Multi-Channel Speaker Verification with Conv-Tasnet Based Beamformer by Mosner, Ladislav, Plchot, Oldrich, Burget, Lukas, Cernocky, Jan Honza

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  9. 9
    But System for the Second Dihard Speech Diarization Challenge

    But System for the Second Dihard Speech Diarization Challenge by Landini, Federico, Wang, Shuai, Diez, Mireia, Burget, Lukas, Matejka, Pavel, Zmolikova, Katerina, Mosner, Ladislav, Silnova, Anna, Plchot, Oldrich, Novotny, Ondrej, Zeinali, Hossein, Rohdin, Johan

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  10. 10
    Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing

    Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing by Kakouros, Sofoklis, Stafylakis, Themos, Mosner, Ladislav, Burget, Lukas

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  11. 11
    Building and Evaluation of a Real Room Impulse Response Dataset

    Building and Evaluation of a Real Room Impulse Response Dataset by Szoke, Igor, Skacel, Miroslav, Mosner, Ladislav, Paliesek, Jakub, Jan "Honza" Cernocky

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  12. 12
    Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations

    Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations by Stafylakis, Themos, Mosner, Ladislav, Kakouros, Sofoklis, Plchot, Oldrich, Burget, Lukas, Cernocky, Jan

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  13. 13
    An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification

    An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification by Peng, Junyi, Plchot, Oldrich, Stafylakis, Themos, Mosner, Ladislav, Burget, Lukas, Cernocky, Jan

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  14. 14
    Analyzing speaker verification embedding extractors and back-ends under language and channel mismatch

    Analyzing speaker verification embedding extractors and back-ends under language and channel mismatch by Silnova, Anna, Stafylakis, Themos, Mosner, Ladislav, Plchot, Oldrich, Rohdin, Johan, Matejka, Pavel, Burget, Lukas, Glembek, Ondrej, Brummer, Niko

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  15. 15
    State-of-the-art Embeddings with Video-free Segmentation of the Source VoxCeleb Data

    State-of-the-art Embeddings with Video-free Segmentation of the Source VoxCeleb Data by Barahona, Sara, Mošner, Ladislav, Stafylakis, Themos, Plchot, Oldřich, Peng, Junyi, Burget, Lukáš, Černocký, Jan

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  16. 16
    CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification

    CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification by Peng, Junyi, Mošner, Ladislav, Zhang, Lin, Plchot, Oldřich, Stafylakis, Themos, Burget, Lukáš, Černocký, Jan

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  17. 17
    BUT CHiME-7 system description

    BUT CHiME-7 system description by Karafiát, Martin, Veselý, Karel, Szöke, Igor, Mošner, Ladislav, Beneš, Karel, Witkowski, Marcin, Barchi, Germán, Pepino, Leonardo

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  18. 18
    MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification

    MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification by Mošner, Ladislav, Plchot, Oldřich, Burget, Lukáš, Černocký, Jan

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  19. 19
    Improving Speaker Verification with Self-Pretrained Transformer Models

    Improving Speaker Verification with Self-Pretrained Transformer Models by Peng, Junyi, Plchot, Oldřich, Stafylakis, Themos, Mošner, Ladislav, Burget, Lukáš, Černocký, Jan

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  20. 20
    Parameter-efficient transfer learning of pre-trained Transformer models for speaker verification using adapters

    Parameter-efficient transfer learning of pre-trained Transformer models for speaker verification using adapters by Peng, Junyi, Stafylakis, Themos, Gu, Rongzhi, Plchot, Oldřich, Mošner, Ladislav, Burget, Lukáš, Černocký, Jan

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