Material Detail

Confidence Measures in Speech Recognition

Confidence Measures in Speech Recognition

This video was recorded at Joint AMI/PASCAL/IM2/M4 Workshop on Multimodal Interaction and Related Machine Learning Algorithms, Martigny 2004. A confidence measure (CM) is a number between 0 and 1 that is applied to speech recognition output. A CM gives an indication of how confident we are that the unit to which it has been applied (e.g. a phrase, word, phone) is correct. Confidence measures are extremely useful in any speech application that involves a dialogue, because they can guide the system towards a more intelligent dialogue that is faster and less frustrating for the user.

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.