Developing Medical Virtual Teaching Assistant Based on Speech Recognition Technology

Purbohadi, Dwijoko; Afriani, Silvia; Rachmanio, Nicko; Dewi, Arlina

doi:10.3991/ijoe.v17i04.21343

Cited by 7 publications

(6 citation statements)

References 13 publications

(14 reference statements)

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“…The development of a voice recognition-based e-learning assistant serves as a learning medium for children in the orphanage, facilitating their exploration of English Pronunciation. Theoretically, voice recognition has an accuracy rate of 98% [10], making it highly effective for English Pronunciation learning for children in the orphanage.…”

Section: Surveymentioning

confidence: 99%

The Adoption of E-learning Media to Enhance English Skills in Magelang Orphanage

Azizah,

Hayati,

Astuti

et al. 2023

ICTCED

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The objective of the community service activity at the Panti Asuhan Yatim-Piatu Ibu Zaenab in Magelang is to improve the orphanage children's English language abilities. The action implements e-learning media and an English Pronunciation learning innovation supported by voice recognition technology and artificial intelligence. The orphanage children, who struggled to learn English due to a lack of proper resources and difficulties with pronunciation, were divided into groups and given a pre-test. The results indicated that their English proficiency remained low and required e-learning to enhance their skills. After completing the pre-test, the students received education and training through an e-learning system, followed by a post-test. The results indicated that their English language skills improved. E-learning effectively facilitated learning and enhanced the children's English language skills. This activity is anticipated to considerably improve orphanage children's education and English language skills, which will benefit them in daily life.

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Section: Surveymentioning

confidence: 99%

The Adoption of E-learning Media to Enhance English Skills in Magelang Orphanage

Azizah,

Hayati,

Astuti

et al. 2023

ICTCED

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“…e speech recognition system is built on a certain hardware platform. Nowadays, the types of commonly used speech recognition chips are a special IC for speech recognition composed of a single-chip microcomputer (MCU) [21], a speech recognition system composed of a digital signal processor DSP, and a speech recognition system-level chip SOC (System on Circuit). e SPCE061A chip was selected as the core component of this system because it was determined after the following comparisons of these types of chips.…”

Section: Chip Selectionmentioning

confidence: 99%

Borderless Fusion Financial Management Innovation Based on Speech Recognition Technology

Yang

Fan

Zhou

2022

Scientific Programming

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In recent years, the rapid development of information technology has affected the operation of the world economy, and the emergence of e-commerce has decreased significantly. The development of modern information technology, especially the development of Internet technology, provides a solid foundation for e-commerce. The time and space gap between economic operators is shortened, and resources are shared as widely as possible. Based on a comprehensive and in-depth study of language recognition technology. However, the current e-commerce financial management still uses the traditional accounting method, which is inefficient and cannot be integrated with new technologies. This paper proposes a design scheme for a nonspecific person and small vocabulary language recognition system based on SPCE061A processor. This integrated system can be combined with data acquisition and language input technology and constitute a data acquisition and input system. It is used for data collection and input of instruments and meters in the workplace to improve work efficiency. This paper proposes algorithms based on time-domain energy and zero-crossing rate detection, detection based on entropy function method, and detection based on the double-threshold method. The speech recognition technology is analyzed in detail, and a new model of financial management is constructed. Accounting information disclosure is a virtuous circle of “promoting capital management with appropriate decentralization.” The experimental results in this paper show that through model construction, the calculated WER is 0 dm, 7 dm, 15 dm, and 11 dm, respectively, and it is concluded that the system exhibits good antinoise performance.

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“…License plate recognition technology plays an irreplaceable role in vehicle detection, automatic positioning, video processing and digitization [9][10]. The function of vehicle license plate recognition.…”

Section: License Plate Number Recognitionmentioning

confidence: 99%

License Plate Recognition Technology Based on Neural Network

2020

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License plate recognition is an important part of intelligent transportation system. It plays an irreplaceable role in solving the problem of vehicle license plate issuance and improving the level of urban road traffic management. In this paper, the method of vehicle location and character segmentation is studied by using artificial NN algorithm. First, the BP Neural Network (NN) training method is used to complete the fusion model from the image extraction feature parameter set to the sample classification to the input mode selection and output mapping, the calculation and analysis of the rotation distance of the license plate area, and the recognition of the background color of the license plate. Then, the correctness and feasibility of this strategy are verified by the MATLAB simulation experiment results. The test results show that the learning time of the license plate number recognition technology based on the NN algorithm is between 20s and 30s, The recognition time is between 12s and 16s, and the correct recognition rate is above 90%. This shows that the algorithm is excellent in optimizing the license plate recognition technology.

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Developing Medical Virtual Teaching Assistant Based on Speech Recognition Technology

Cited by 7 publications

References 13 publications

The Adoption of E-learning Media to Enhance English Skills in Magelang Orphanage

The Adoption of E-learning Media to Enhance English Skills in Magelang Orphanage

Borderless Fusion Financial Management Innovation Based on Speech Recognition Technology

License Plate Recognition Technology Based on Neural Network

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