Downloads: 121
Research Paper | Information Technology | India | Volume 4 Issue 6, June 2015
Hindi Speech Recognition
Akanksha Saxena
Abstract: This work is to develop a speech recognition system for speaker dependent, real time, isolated words of Hindi Language. Speech is a useful and effective communication medium with machines, especially in the environment where keyboard input is awkward or impossible. The Speech Processing technology (Automatic Speech Recognition and Speech Synthesis) has made great progress for European languages. In India, almost three-fourth of the population lives in rural areas and most of the population is unfamiliar with computers and English. It would be a great boon for Indian society if communication with machines, mainly with computers, in native languages can be made possible. It will enable people to interact with computers in their own language and without the use of keyboard. This report is a study of the technology and modeling techniques, having been used for Speech Processing. The focus of the present work is Hindi Speech Recognition.
Keywords: Natural language processing, Hidden Markov Model, Mel frequency cepstral coefficient, Human computer interaction, Viterbi algorithm
Edition: Volume 4 Issue 6, June 2015,
Pages: 1431 - 1435
Similar Articles with Keyword 'Natural language processing'
Downloads: 3 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Information Technology, United States of America, Volume 12 Issue 4, April 2023
Pages: 1524 - 1530OCR and AI Augmented CRM Systems: A Novel Approach to Customer Data Mining and Analysis for Digital Transformation
Sharda Kumari [3] | Avinash Malladhi [2]
Downloads: 4
M.Tech / M.E / PhD Thesis, Information Technology, India, Volume 10 Issue 10, October 2021
Pages: 955 - 961Fake Text Identification using Feature Extraction
Peketi Yamini