A speech-based conversation system for accessing agriculture commodity prices in Indian languages

Mantena, Gautam Varma; Rajendran, S.; Rambabu, B.; Gangashetty, Suryakanth V.; Yegnanarayana, B.; Prahallad, Kishore

doi:10.1109/hscma.2011.5942384

Cited by 17 publications

(4 citation statements)

References 3 publications

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“…Gautam Varma et al demonstrated "A speech-based conversation system in Indian languages for accessing agriculture commodity prices" [7]. They developed Mandi Information System to obtain prices of various agricultural commodities such as fruits, pulses, vegetables, and spices for farmers in rural and semi-urban areas across the state of Andhra Pradesh in India.…”

Section: Related Workmentioning

confidence: 99%

Speech Recognition Techniques in Agriculture Sector : A Comparative Study

Hase¹,

Nimbhore²

2023

Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 Mar

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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.

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Section: Related Workmentioning

confidence: 99%

Speech Recognition Techniques in Agriculture Sector : A Comparative Study

Hase¹,

Nimbhore²

2023

Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 Mar

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“…Speech systems designed for emergent users, then, often focus on specific domain areas, such as crop prices or other workfocused information retrieval tasks (e.g., [22,36]). Others use speech for literacy or language learning [20], or for healthcare [41].…”

Section: Speech Recognition For Emergent Usersmentioning

confidence: 99%

Revisiting “Hole in the Wall” Computing

Robinson

Pearson

Ahire

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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“…Isolated Hindi recognition system was developed by Ishant Bhardwaj [3] using HMM toolkit. For Telgu language Gautam [4] developed an ASR system using sphinx for retrieving commodity prices. Data was obtained from 96 speakers.…”

Section: Introductionmentioning

confidence: 99%

Automatic speech recognition based Odia system

Karan

Sahoo

Sahu

2015

2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE)

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In this paper, we presents a scheme of implementation of automatic speech recognition system using Odia language. The proposed system is realized using Kaldi toolkit for automatic recognition of district models of the state of Odisha. We investigate the monophone and triphone model for Odia speech recognition. Acoustic modeling of Odia speech recognition was performed using HMM and GMM. A significant reduction in word error rate (WER) was observed using the triphone model. We report the preliminary speech recognition results using Kaldi speech toolkit.

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A speech-based conversation system for accessing agriculture commodity prices in Indian languages

Cited by 17 publications

References 3 publications

Speech Recognition Techniques in Agriculture Sector : A Comparative Study

Speech Recognition Techniques in Agriculture Sector : A Comparative Study

Revisiting “Hole in the Wall” Computing

Automatic speech recognition based Odia system

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