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Research and publications

  1. Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
  2. Model Unit Exploration for Sequence-to-Sequence Speech Recognition
  3. Learning personalized entity pronunciations
  4. Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme prediction
  5. Sequence-to-Sequence Neural Network Model with 2D Attention for Learning Japanese Pitch Accents
  6. Pronunciation learning with RNN-transducers
  7. Information matrix creation and calibration test pattern selection based on computational lithography model parameter
  8. Learning Personalized Pronunciations for Contact Name Recognition
  9. NN-grams: Unifying neural network and n-gram language models for speech recognition
  10. On the compression of recurrent neural networks with an application to LVCSR acoustic modeling for embedded speech recognition
  11. Calibration pattern selection based on noise sensitivity
  12. Harmonic resist model for use in a lithographic apparatus and a device manufacturing method
  13. Optimizing OPC data sampling based on orthogonal vector space
  14. Exploring the Nature of Trader Intuition
  15. Model-based scanner tuning in a manufacturing environment
  16. Investigating signal integration with canonical correlation analysis of fMRI brain activation data
  17. Human imagination in financial markets with insiders
  18. A Mind for the Market: an fMRI Study of Attribution of Mental States to Financial Markets
  19. SCR Recording During fMRI Acquisition

Note: Additional US patent applications under review (closed to the general public).