Search Results - Wiesler, Simon

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  1. 1
    Mean-normalized stochastic gradient for large-scale deep learning

    Mean-normalized stochastic gradient for large-scale deep learning by Wiesler, Simon, Richard, Alexander, Schluter, Ralf, Ney, Hermann

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  2. 2
    Slot-Triggered Contextual Biasing For Personalized Speech Recognition Using Neural Transducers

    Slot-Triggered Contextual Biasing For Personalized Speech Recognition Using Neural Transducers by Tong, Sibo, Harding, Philip, Wiesler, Simon

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  3. 3
    RASR/NN: The RWTH neural network toolkit for speech recognition

    RASR/NN: The RWTH neural network toolkit for speech recognition by Wiesler, Simon, Richard, Alexander, Golik, Pavel, Schluter, Ralf, Ney, Hermann

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  4. 4
    Sequence-discriminative training of recurrent neural networks

    Sequence-discriminative training of recurrent neural networks by Voigtlaender, Paul, Doetsch, Patrick, Wiesler, Simon, Schluter, Ralf, Ney, Hermann

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  5. 5
    Investigations on sequence training of neural networks

    Investigations on sequence training of neural networks by Wiesler, Simon, Golik, Pavel, Schluter, Ralf, Ney, Hermann

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  6. 6
    A critical evaluation of stochastic algorithms for convex optimization

    A critical evaluation of stochastic algorithms for convex optimization by Wiesler, Simon, Richard, Alexander, Schluter, Ralf, Ney, Hermann

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  7. 7
    Investigation of mixture splitting concept for training linear bottlenecks of deep neural network acoustic models

    Investigation of mixture splitting concept for training linear bottlenecks of deep neural network acoustic models by Tahir, Muhammad Ali, Wiesler, Simon, Schluter, Ralf, Ney, Hermann

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  8. 8
    The RWTH English lecture recognition system

    The RWTH English lecture recognition system by Wiesler, Simon, Irie, Kazuki, Tuske, Zoltan, Schluter, Ralf, Ney, Hermann

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  9. 9
    Subspace pursuit method for kernel-log-linear models

    Subspace pursuit method for kernel-log-linear models by Kubo, Yotaro, Wiesler, Simon, Schlueter, Ralf, Ney, Hermann, Watanabe, Shinji, Nakamura, Atsushi, Kobayashi, Tetsunori

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  10. 10
    Basis vector orthogonalization for an improved kernel gradient matching pursuit method

    Basis vector orthogonalization for an improved kernel gradient matching pursuit method by Kubo, Y., Watanabe, S., Nakamura, A., Wiesler, S., Schlueter, R., Ney, H.

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  11. 11
    Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition

    Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition by Alastruey, Belen, Drude, Lukas, Heymann, Jahn, Wiesler, Simon

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  12. 12
    Improving RNN-T ASR Accuracy Using Context Audio

    Improving RNN-T ASR Accuracy Using Context Audio by Schwarz, Andreas, Sklyar, Ilya, Wiesler, Simon

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  13. 13
    Contextual-Utterance Training for Automatic Speech Recognition

    Contextual-Utterance Training for Automatic Speech Recognition by Gomez-Alanis, Alejandro, Drude, Lukas, Schwarz, Andreas, Rupak Vignesh Swaminathan, Wiesler, Simon

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  14. 14
    Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition

    Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition by Lakomkin, Egor, Heymann, Jahn, Sklyar, Ilya, Wiesler, Simon

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  15. 15
    Compacting Neural Network Classifiers via Dropout Training

    Compacting Neural Network Classifiers via Dropout Training by Kubo, Yotaro, Tucker, George, Wiesler, Simon

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  16. 16
    Discriminative Training for Automatic Speech Recognition: Modeling, Criteria, Optimization, Implementation, and Performance

    Discriminative Training for Automatic Speech Recognition: Modeling, Criteria, Optimization, Implementation, and Performance by Heigold, G., Ney, H., Schluter, R., Wiesler, S.

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