HMM-based Automatic Speech Recognition Systems: A survey
| Main Authors: | Rajota Kharwal, Dil Nawaz Hakro, Intzar Lashari, Tuba Qureshi, Maryam Hameed |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3534980 |
Daftar Isi:
- Natural language processing enables computer and machines to understand and speak human languages. Speech recognition is a process in which computer understand the human language and processes further instructions as per recognition of the human language. The human language varies so the machine or computer needs entirely different algorithms as the human languages differ in various aspects, such as sounds, phonemes, words, meanings and much more. Understanding human language is a challenging job and for this purpose Hidden Markov Models are used commonly as they possess promising results in understanding human language. A survey of various researches employing Hidden Markov models is presented to highlight the importance of HMM in the process of speech recognition.