Low-Power Circuits For Automatic Speech Recognition

A decoder comprises a feature extraction circuit for calculating one or more feature vectors; an acoustic model circuit coupled to receive one or more feature vectors from said feature extraction circuit and assign one or more likelihood values to the one or more feature vectors; a memory for storing states of transition of the decoder; and a search circuit for receiving an input from said acoustic model circuit corresponding to the one or more likelihood values based upon the one or more feature vectors, and for choosing states of transition from the memory based on the input from said acoustic model.

Researchers

Departments: Computer Science & Artificial Intelligence Lab, Dept of Electrical Engineering & Computer Science
Technology Areas: Computer Science: Networking & Signals / Sensing & Imaging: Acoustics
Impact Areas: Uncharted Frontiers

  • low-power circuits for automatic speech recognition
    United States of America | Granted | 11,107,461
  • low-power circuits for automatic speech recognition
    Korea (south) | Granted | 10
  • low-power automatic speech recognition device
    United States of America | Granted | 11,961,513
  • low-power automatic speech recognition device
    Korea (south) | Granted | 10

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