This paper is published in Volume-4, Issue-6, 2018
Area
Artificial Intelligence
Author
Ishrat Sultana
Co-authors
Nirmaljeet Kaur Pannu
Org/Univ
Adesh Institute of Technology, Gharuan, Punjab, India
Pub. Date
24 November, 2018
Paper ID
V4I6-1257
Publisher
Keywords
Word analysis, Feature extraction, Case study

Citationsacebook

IEEE
Ishrat Sultana, Nirmaljeet Kaur Pannu. Automatic speech recognition system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ishrat Sultana, Nirmaljeet Kaur Pannu (2018). Automatic speech recognition system. International Journal of Advance Research, Ideas and Innovations in Technology, 4(6) www.IJARIIT.com.

MLA
Ishrat Sultana, Nirmaljeet Kaur Pannu. "Automatic speech recognition system." International Journal of Advance Research, Ideas and Innovations in Technology 4.6 (2018). www.IJARIIT.com.

Abstract

The Speech recognition systems are difficult and challenging as the same word can be spelled in many ways also change in accent has a huge impact on the accuracy of speech recognition. Most of the ASR systems in use today are designed to recognize speech in English. The major objective of this research is to design an ASR system which recognizes discrete words from Hindi language & controls some action depending on the provided input. The input voce is captured using a microphone which are then preprocessed using several algorithms like Dynamic Time Wrapping (DTW), Hidden Markov Model (HMM) etc. This paper aims at developing a simplified technique for recognition of speech spoken in the Hindi language by first modeling the system on computer-based design and then deploying it on an embedded system.
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