Speech Recognition System | Artificial Intelligence Tutorial | Minigranth
System : Introduction
recognition is one of the major applications where the concept of Hidden Markov
Model is used.
The goal of
speech recognition is to identify a sequence of words produced by a speaker,
given the acoustic signals.
A speech recognition system could be useful as, speech is the
dominant modality for communications among humans.
Recognition System : Working
recognition system consists of five basic building blocks which can be used to
determine the almost exact meaning of input speech.
Models : An acoustic model uses concept
of Hidden Markov Model to integrate signals to the phonemes. It is a data base
consisting of probabilistic models that can correlate phonemes to input speech
Speech Recognition System
Dictionary: Dictionary is used for mapping words with their pronunciation
are smallest speech units that can be used to make one word different from
Language Model: It is used to collect phrases that are acceptable i.e. words
from dictionary are arranged into phrases into language
The language model
integrates together to form a meaningful sentence which finally results in
recognition from phrases.