Error corrective mechanisms for speech recognition

  title={Error corrective mechanisms for speech recognition},
  author={Lidia Mangu and Mukund Padmanabhan},
In the standard MAP approach to speech recognition, the goal is to find the word sequence with the highest posterior probability given the acoustic observation. Recently , a number of alternate approaches have been proposed for directly optimizing the word error rate, the most commonly used evaluation criterion. One of them, the consensus decoding approach, converts a word lattice into a confusion network which specifies the word-level confusions at different time intervals, and outputs the… CONTINUE READING
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