USING SPEECH RECOGNITION IN AGRICULTURE

CONDRUZ, P.; MURARU, S. L.; MURARU, V.; MURARU-IONEL, C.; CRISTEA, O. D.
Abstract:
The importance of computers has become very popular, the interaction between man and machine is indispensable every day. People's need and desire to communicate with machines naturally led to the evolution of natural language processing. While progress is being made in this area, it is likely that voice interaction systems will replace most portable and digital devices such as keyboards, card readers, etc. This paper presents the main paradigms for speaker recognition, being one of the most important and needed biometric feature and it also focuses on the use of these biometric technology for interactive voice response system for agriculture assistance to farmers. Agriculture has been the primary occupation of human being. Generally farmers do not have the scientific information or competence to find out the cause and solution of any situation that could appear as diseases of their animals or even crops, behavioral features etc. They could have difficulties with understanding machine language or even typing. To facilitate the farmer’s access to information regarding the solution of a specific kind of livestock or crops matter this paper proposes a concept of an interactive voice response system through their mobile phones; a model with voice response in many languages. This model will be advantageous in following conditions: for people with disabilities, people with few PC knowledge or even those who are very busy. Biometric recognition or, simply, biometrics refers to the automatic recognition of individuals based on their physiological and/or behavioral characteristics. The voice is a physiological feature (each person has a different vocal tract), but the recognition of a speaker is mainly based on the study of how it speaks, usually classified as behavioral. Speech recognition is a multi-application domain: security of any kind, telecommunication, daily activities, and now it could be used in agricultural situation. Speech Recognition summarizes a variety of issues such as recognizing isolated words, identifying speakers based on their voice tag, recognizing phonemes, etc. The utility of identifying people based on their voice is growing with the development of automation and telecommunication, and, also regarding the new-entry telephone line applications, the need to recognize the speaker has become more pressing. Speech recognition has a particularly high applicability due to the fact that this method is non-intrusive, universally accepted, with acceptable accuracy, and speech samples are easily sampled either by phone or by microphone.
SGEM Research areas:
Year:
2019
Type of Publication:
In Proceedings
Keywords:
speech; recognition; agriculture; database
Volume:
19
SGEM Book title:
19th International Multidisciplinary Scientific GeoConference SGEM 2019
Book number:
2.1
SGEM Series:
International Multidisciplinary Scientific GeoConference-SGEM
Pages:
727-734
Publisher address:
51 Alexander Malinov blvd, Sofia, 1712, Bulgaria
SGEM supporters:
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
Period:
30 June - 6 July, 2019
ISBN:
978-619-7408-79-9
ISSN:
1314-2704
Conference:
19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
DOI:
10.5593/sgem2019/2.1/S07.095
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