Search Results - Černocký, J

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  1. 1
    Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System

    Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System by Burget, L., Matejka, P., Schwarz, P., Glembek, O., Cernocky, J.

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  2. 2
    STBU System for the NIST 2006 Speaker Recognition Evaluation

    STBU System for the NIST 2006 Speaker Recognition Evaluation by Matejka, P., Burget, L., Schwarz, P., Glembek, O., Karafiat, M., Grezl, F., Cernocky, J., van Leeuwen, D.A., Brummer, N., Strasheim, A.

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  3. 3
    Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006

    Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006 by Brummer, N., Burget, L., Cernocky, J.H., Glembek, O., Grezl, F., Karafiat, M., van Leeuwen, D.A., Matejka, P., Schwarz, P., Strasheim, A.

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  4. 4
    Probabilistic and Bottle-Neck Features for LVCSR of Meetings

    Probabilistic and Bottle-Neck Features for LVCSR of Meetings by Grezl, F., Karafiat, M., Kontar, S., Cernocky, J.

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  5. 5
    Speech@FIT lecture browser

    Speech@FIT lecture browser by Szöke, Igor, Černocký, J, Fapšo, M, Žižka, J

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  6. 6
    Acoustic keyword spotter - optimization from end-user perspective

    Acoustic keyword spotter - optimization from end-user perspective by Szöke, Igor, Grézl, F, Černocký, J, Fapšo, M, Cipr, Tomáš

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  7. 7
    Strategies for training large scale neural network language models

    Strategies for training large scale neural network language models by Mikolov, T., Deoras, A., Povey, D., Burget, L., Cernocky, J.

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  8. 8
    Neural network based language models for highly inflective languages

    Neural network based language models for highly inflective languages by Mikolov, T., Kopecky, J., Burget, L., Glembek, O., Cernocky, J.

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  9. 9
    Audio Surveillance through Known Event Classification

    Audio Surveillance through Known Event Classification by F. Grezl, J. Cernocky

    Published in Radioengineering
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  10. 10
    Discriminative classifiers for phonotactic language recognition with iVectors

    Discriminative classifiers for phonotactic language recognition with iVectors by Soufifar, M., Cumani, S., Burget, L., Cernocky, J.

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  11. 11
    Region dependent linear transforms in multilingual speech recognition

    Region dependent linear transforms in multilingual speech recognition by Karafiat, M., Janda, M., Cernocky, J., Burget, L.

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  12. 12
    Tuning phone decoders for language identification

    Tuning phone decoders for language identification by Kumar, C P S, Haizhou Li, Rong Tong, Matejka, P, Burget, L, Cernocky, J

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  13. 13
    Combination of strongly and weakly constrained recognizers for reliable detection of OOVS

    Combination of strongly and weakly constrained recognizers for reliable detection of OOVS by Burget, L., Schwarz, P., Matejka, P., Hannemann, M., Rastrow, A., White, C., Khudanpur, S., Hermansky, H., Cernocky, J.

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  14. 14
    Segmental vocoder-going beyond the phonetic approach

    Segmental vocoder-going beyond the phonetic approach by Cernocky, J., Baudoin, G., Chollet, G.

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  15. 15
    iVector-based discriminative adaptation for automatic speech recognition

    iVector-based discriminative adaptation for automatic speech recognition by Karafiat, M., Burget, L., Matejka, P., Glembek, O., Cernocky, J.

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  16. 16
    Speech spectrum representation and coding using multigrams with distance

    Speech spectrum representation and coding using multigrams with distance by Cernocky, J., Baudoin, G., Chollet, G.

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  17. 17
    Segmental Approaches for Automatic Speaker Verification

    Segmental Approaches for Automatic Speaker Verification by Petrovska-Delacrétaz, Dijana, Černocký, Jan, Hennebert, Jean, Chollet, Gérard

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  18. 18
    Discriminative Training Techniques for Acoustic Language Identification

    Discriminative Training Techniques for Acoustic Language Identification by Burget, L., Matejka, P., Cernocky, J.

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  19. 19
    Hierarchical Structures of Neural Networks for Phoneme Recognition

    Hierarchical Structures of Neural Networks for Phoneme Recognition by Schwarz, P., Matejka, P., Cernocky, J.

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  20. 20
    Use of Anti-Models to Further Improve State-of-the-Art PRLM Language Recognition System

    Use of Anti-Models to Further Improve State-of-the-Art PRLM Language Recognition System by Matejka, P., Schwarz, P., Burget, L., Cernocky, J.

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