Research Article
Speech Recognition Techniques in Agriculture Sector : A Comparative Study
@INPROCEEDINGS{10.4108/eai.24-3-2022.2318772, author={Somnath Hase and Sunil Nimbhore}, title={Speech Recognition Techniques in Agriculture Sector : A Comparative Study}, proceedings={Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India}, publisher={EAI}, proceedings_a={ICIDSSD}, year={2023}, month={5}, keywords={agriculture speech recognition(sr) tdil commodity price(cp) speech database}, doi={10.4108/eai.24-3-2022.2318772} }- Somnath Hase
Sunil Nimbhore
Year: 2023
Speech Recognition Techniques in Agriculture Sector : A Comparative Study
ICIDSSD
EAI
DOI: 10.4108/eai.24-3-2022.2318772
Abstract
Desire and need of people to communicate with a machine with the advancement of technology affect the natural language processing evolution. Communication between humans and machines is indispensable day by day. The automatic speech recognition system plays a crucial role. It is a method of communicating to machines by using speech. In the early days, farmers relied on clouds for rain. They are now looking towards Cloud Computing (CC) as a solution for cultivating crop production. With excessive use of chemicals, sudden climate change, bacterial attacks, and lack of information, the crop is damaged every year in India. In this research, various techniques related to speech recognition in field agriculture have been studied in detail. Most of the speech recognition systems are based on isolated keywords specifically designed for accessing the price of commodities. Some are designed to assist farmers based on crop symptoms. There is an agricultural voice-based speech recognition system through oral description using isolated speech databases. This study helps to compare different tools and techniques of speech recognition that are used in agriculture.
