Automatic speech recognition

9 Automatic Speech Recognition
9.1 Speech Recognition Architecture
9.2 Applying the Hidden Markov Model to Speech ...

Automatic Speech Recognition, Spring 2003. Staff Instructors: Dr. James Glass and Professor Victor Zue. Available from MIT OpenCourseWare. "6.345 is a course in the department's 'Bioelectrical Engineering' concentration.

The challenge of automatic speech recognition (ASR) stands at the forefront of computer and cognitive science as one of the more difficult yet promising problems of our time.

Speech recognition (in many contexts also known as automatic speech recognition, computer speech recognition or erroneously as voice recognition) is the process of converting a speech signal to a sequence of words in the form of digital data, ...

Also, text produced by processing spontaneous speech using automatic speech recognition and printed or handwritten text using optical character recognition contains processing noise.

Typical applications are automatic speech recognition, classification of text into several categories (e.g. spam/non-spam email messages), the automatic recognition of handwritten postal codes on postal envelopes, ...

See also: Speech recognition, Artificial intelligence, Knowledge, Natural language processing, Demon