Speech Based Access of Kisan Information System in Telugu Language

Banothu, Rambabu and Basha, S. Sadiq and Molakatala, Nagamani and Gautam, Veerendra Kumar and et al, . (2021) Speech Based Access of Kisan Information System in Telugu Language. In: 12th International Conference on Intelligent Human Computer Interaction, IHCI 2020, 24 November 2020through 26 November 2020, Daegu.

Full text not available from this repository. (Request a copy)


In a developing country like India, agriculture provides large scale employment in rural areas, thus serving as the backbone of an economic system. For farmers it is important to decide which crop to grow, what Government schemes benefit them the most and what is the best selling price of the crop. In this paper we described the Speech to Speech interaction between farmer and government through an application using speech recognition system for Telugu language that will form the interface to the webpage providing information about the government schemes and commodity prices through voice. The proposed Kisan Information System (KIS) is integration of Speech recognition, Dialogue Manager, and Speech Synthesis modules. The performance of the KIS is better compared with existing one for Telugu language. © 2021, Springer Nature Switzerland AG.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Dialog manager; Kisan information system; Speech recognition; Speech to speech system
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 30 Sep 2022 11:33
Last Modified: 30 Sep 2022 11:33
URI: http://raiith.iith.ac.in/id/eprint/10747
Publisher URL: http://doi.org/10.1007/978-3-030-68449-5_29
Related URLs:

    Actions (login required)

    View Item View Item
    Statistics for RAIITH ePrint 10747 Statistics for this ePrint Item