Speech Recognition System : Introduction
- Speech 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.
Speech Recognition System : Working
- A speech recognition system consists of five basic building blocks which can be used to determine the almost exact meaning of input speech.
- Acoustic 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 utterance signals.
Speech Recognition System
- Dictionary: Dictionary is used for mapping words with their pronunciation using phonemes.
- Phonemes: They are smallest speech units that can be used to make one word different from another word.
- Language Model: It is used to collect phrases that are acceptable i.e. words from dictionary are arranged into phrases into language model.
- The language model integrates together to form a meaningful sentence which finally results in recognition from phrases.