scholarly journals Implementation of IoT Smart Blackout Curtain Including Voice Recognition Function

Author(s):  
Minseong Kim ◽  
◽  
Yeji Kim ◽  
Yejin Yoon ◽  
Hyenki Kim ◽  
...  
Author(s):  
Tan Liong Ching ◽  
Nureize Binti Arbaiy

The smart store system (F3 Storage System) provides an inventory system function, and is supported by voice recognition for items searching purpose in the warehouse. This system is aimed to improve effectiveness in item searching process for the warehouse management. An inventory system structures is employed in this system to enable items management. Voice recognition facility helps the worker to search item in an effective way. Worker can use voice recognition function to search the item in the warehouse, and searched information of the item will be displayed in the liquid crystal display (LCD) screen. Meanwhile, the location of the item will be physically indicated by the light emitting diode (LED) light function. The developed system also contains a barcode system to enhance the process of scheduling warehouse activity. Such facilities will enhance the capabilities of existing inventory management systems in warehouses. Prototyping model is used to assist project development. Arduino technology is used to enable integrated hardware and software to read data or input. With Arduino technology, traditional search items by using text and search functionality are enhanced to allow speech functionality. This functionality makes the search process faster and more efficient.


Author(s):  
Deny A. Kwary

Dictionaries of economics have evolved over time. In the past, most dictionaries were similar to glossaries and were in printed form. In this Internet era, some printed dictionaries have evolved into online dictionaries with various number of technological features. However, the evolution of these dictionaries has not taken into account the evolving needs and situations of the users. Consequently, as we can see from the review of the current online dictionaries of economics, these dictionaries have failed to satisfy the needs of the users, particularly the spoken text reception needs. This paper presents some principles in creating a future dictionary of economics that can satisfy the needs related to the situation when a non-native English speaker is listening to business news in the English language. The future dictionary or the proposed dictionary in this paper takes the concept of a lexicographical information system (LIS) that integrates several components into the dictionary. The four components discussed are a voice recognition function, a tooltip, an auto-summarize function, and a definition-finder. This paper shows why these four components are needed and how they can solve the users’ lexicographical problems correctly, promptly, and conveniently.


1997 ◽  
Author(s):  
Craig B. Neely ◽  
Jeffrey R. Wilson ◽  
Brian H. Bornstein
Keyword(s):  

1982 ◽  
Author(s):  
Gary K. Poock ◽  
Norman D. Schwalm ◽  
Ellen F. Roland

Author(s):  
Jeffrey A. Daniels ◽  
Maria J. Amores ◽  
Jennifer Haist ◽  
Susan Chamberlain ◽  
Karianne Bilsky ◽  
...  

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.


Author(s):  
Basavaraj N Hiremath ◽  
Malini M Patilb

The voice recognition system is about cognizing the signals, by feature extraction and identification of related parameters. The whole process is referred to as voice analytics. The paper aims at analysing and synthesizing the phonetics of voice using a computer program called “PRAAT”. The work carried out in the paper also supports the analysis of voice segmentation labelling, analyse the unique features of voice cues, understanding physics of voice, further the process is carried out to recognize sarcasm. Different unique features identified in the work are, intensity, pitch, formants related to read, speak, interactive and declarative sentences by using principle component analysis.


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