scholarly journals Pengembangan Aplikasi Asisten Pintar Pembuka Al Qur’an 30 Juz dengan Perintah Voice Command

2021 ◽  
Vol 5 (5) ◽  
pp. 1008-1015
Author(s):  
Amarul Akbar ◽  
Shofiyah ◽  
Nur Hayatin ◽  
Ilyas Nuryasin
Keyword(s):  
Voice Recognition ◽  
Randomized Experiments ◽  
Voice Command ◽  
Accuracy Result

Many developers of digital Qur'an applications today still use tap to scrolling to run applications, although the features are interesting. This makes it less effective and efficient in opening the Qur'an. As is the case during the taklim assembly, some da'i are very interactive with jama'ah, asking to open certain surahs and verses so that there are some who have difficulty in searching. Therefore, the need for the Qur'anic application with voice command command to facilitate users. This research is the development of the Qur'an application with voice recognition feature. Using the waterfall method in development, voice command with google speech API as a voice command of surah and verse calling in the Qur'an application 30 juz. Conducted 10 randomized experiments with calls in the form of play or open surahs and certain verses give a 90% accuracy result. Commands can be given when online or offline. Then the use of google speech API can be very useful for use in the development of other applications.  

Lampu Sein Helm Sepeda Berbasis Voice Recognition

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar
Keyword(s):  
Voice Recognition ◽  
Driving Safety ◽  
Bicycle Helmet ◽  
Turn Signal ◽  
Voice Command ◽  
The Voice ◽  
Indicator Signal

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.

scholarly journals Voice Controlled Home Automation

2019 ◽  
pp. 235-240
Author(s):  
P. Kiran Kumar ◽  
G. Joga Rao ◽  
A. Suguna ◽  
K. Bhanu Prakash Kavya G ◽  
P. Venkata Srikar Srihari
Keyword(s):  
Power Supply ◽  
Voice Recognition ◽  
Smart Phone ◽  
Home Automation ◽  
Disabled People ◽  
Voice Input ◽  
Voice Command ◽  
Home Appliances ◽  
The Voice ◽  
At Home

The work is mainly concentrated on the implementation of Voice Controlled Home Automation. It is all about the development of home appliances based on the voice command using Android. The system is used to support elderly and disabled people at home. Google application is used as voice recognition and process the voice input from the smart phone. The voice activated home automation is implemented using NodeMCU, relays, pcb connectors, diodes and power supply. The voice input is captured by the android and the NodeMCU receives the signal to control the light, fan, bulb

scholarly journals Design and Implementation of Modernised Dental Chair using Voice Recognition Control Circuit

2019 ◽  
Vol 8 (9S2) ◽  
pp. 355-357
Keyword(s):  
Low Cost ◽  
Voice Recognition ◽  
Continuous Operation ◽  
Control Circuit ◽  
Voice Command ◽  
Design And Implementation ◽  
Dental Chair ◽  
The Voice

Generally, in hospitals the dental chair can be operated forward/backward or upward/downward according to the treatment for the patients which is operated by human. Sometimes the chair will not function properly due to piston rust and over weighted patient and the dentist may have pain in the legs due to continuous operation of the chair. To overcome these issues, planning to design a voice recognition dental chair for the doctors in hospitals. This project describes the design of a smart, motorized, voice controlled dental chair. The voice command is given by the dentist/human, sensor recognizes the voice and sends the command to the Arduino. This voice command is converted to string and it is responsible for movement of chair. The intelligent dental chair is designed in such a way that it can be controlled easily by the doctor and has an advantage is the low cost design. This system was designed and developed to avoid wasting the energy and time of the doctor

scholarly journals PERANCANGAN APLIKASI VOICE COMMAND RECOGNITION BERBASIS ANDROID DAN ARDUINO UNO

2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Akhmad Wahyu Dani ◽  
Andi Adriansyah ◽  
Dodi Hermawan
Keyword(s):  
Remote Control ◽  
Voice Recognition ◽  
Recognition System ◽  
Voice Command ◽  
Arduino Uno

Perkembangan  teknologi  saat  memungkinkan  akan  konsep  rumah  yang  Hi  – Tech, pada saat ini TV, Home System Audio, mesin cuci, mesin pompa air, dan lain-lain adalah  contoh  beberapa  peralatan elektronik yang  penggunaaannya masih menggunakan tombol  atau  remote  control.  Namun  dengan  konsep  “  Hi-Tech  future  Home  “  dimana semua  peralatan  elektronik  yang  terhubung  dengan  internet  memungkinkan  dapat dikembangkan  dengan  mudah.  Voice  Command  Recognition  System  adalah  salah  satu konsep pengendalian perangkat elektronik dengan menggunakan perintah suara. Dengan konsep tersebut maka semua peralatan elektronik bisa dikendalikan dengan perintah suara dari penggunannya.Pada Jurnal ini akan menjelaskan perancang system voice command recognition yang  digunakan  untuk  aplikasi  peralatan  rumah  tangga  yang  dikendalikan  oleh  suara pengguna.  Perancangannnya  akan  menggunakan  teknologi  Google  Voice  Recognition system, Arduino Uno, Bluetooth dan teknologi transistor untuk mengefisiensi dalam hal biaya perancangannya. Dari  hasil  pengujian  dapat  disimpulkan  bahwa  sistem  ini  memiliki  kelebihan yaitu  mudah  untuk  digunakan,  penerapannya  sederhana  yang  dapat  membantu meningkatkan  kenyamanan  pengguna  (penghuni  rumah).  Akan  tetapi  kekurangan  dari sistem  ini  adalah  sangat  bergantung  kepada  server  google  untuk  dapat  mengartikan perintah suara yang ada, sehingga apabila paket data pengguna system ini terbatas dapat dikhawatirkan system ini tidak dapat digunakan.

scholarly journals Aplikasi Personal Assistant Berbasis Voice Command Pada Sistem Operasi Android Dengan NLP

2020 ◽  
Vol 5 (2) ◽  
pp. 121
Author(s):  
Yoshua Constantin ◽  
Ucuk Darusalam ◽  
Novi Dian Nathasia
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Voice Recognition ◽  
Voice Command ◽  
Personal Assistant

Saat ini penggunaan smartphone sangat masif di seluruh dunia, khusus nya android. Fitur yang dimiliki sangat mudah dipakai, namun sebagian orang tidak mampu untuk menggunakan secara maksimal fitur-fitur yang ada karena membutuhkan waktu untuk berinteraksi dengan fitur tersebut, salah satu teknologi yang dapat dimanfaatkan untuk mengoptimalkan android, yaitu voice recognition namun teknologi yang sudah dikembangkan oleh vendor membutuhkan koneksi internet untuk dapat berjalan, untuk sebagian user yang tidak terdapat jaringan internet tidak bisa menikmati teknologi tersebut, untuk dapat mengatasi masalah ini dibutuhkan aplikasi personal assistant yang dapat digunakan ketika tidak ada koneksi internet sekalipun, ide yang didapat dari penciptaan aplikasi ini adalah untuk menyempurnakan kekurangan dari penelitian sebelumnya, dengan ada nya teknik Natural Language Processing (NLP) mempermudah dalam proses pembuatan aplikasi ini, aplikasi sudah diuji dengan serangkaian tes dan hasil dari tes tersebut menunjukkan bahwa instalasi dapat dilakukan di versi terbaru yaitu android 10 dan 10 dari 12 perintah yang diuji berhasil dilakukan dengan rata-rata respon selama 0.054 detik. Semua fitur dapat dijalankan tanpa perlu koneksi internet.

scholarly journals Develop and Implementation of Voice Recognition Robotic Car

2018 ◽  
Vol 7 (3.14) ◽  
pp. 242
Author(s):  
Hairol Nizam Mohd Shah ◽  
Zalina Kamis ◽  
Mohd Fairus Abdollah ◽  
Mohd Shahrieel Mohd Aras ◽  
Faizil Wasbari ◽  
...  
Keyword(s):  
Filter Bank ◽  
Signal To Noise Ratio ◽  
Source Code ◽  
Voice Recognition ◽  
Recognition System ◽  
Noise Amplitude ◽  
Root Mean Square Amplitude ◽  
Voice Command ◽  
Amplitude Noise ◽  
Voice Identification

The idea in this paper is to develop a voice recognition system that can recognized five commands to control a robotic car. The focus area is mainly on voice identification and recognition system. The aim of the system was not recognizing sentences but only isolated a word then demonstrates the action on a simple built robotic car. The system allows user to deliver voice commands through a microphone for control the movement of the car. Voice command is sent to computer and the process to compare the signal with signal stored in database using Vector Quantization (VQ) technique. Mel-wrapping filter bank in feature extraction was used to reduce the root mean square amplitude noise amplitude and also improve signal to noise ratio. Result showed that the robotic car can be controlled by 5 basic voice command which is stop, forward, reverse, turn left and turn right by integrating source code in MATLAB with Arduino UNO microcontroller.  

scholarly journals Automatically Moving Robot Intended for the Elderly with Voice Control

2021 ◽  
Vol 17 (06) ◽  
pp. 19
Author(s):  
Manussawee Piyaneeranart ◽  
Mahasak Ketcham
Keyword(s):  
English Language ◽  
Voice Recognition ◽  
Performance Testing ◽  
The Elderly ◽  
Voice Command ◽  
Thai Language ◽  
Voice Control

This research aims at an automatically moving robot intended for the elderly with voice control using voice recognition that gives a direction to the robot by a voice command. The development of this robot employed an algorithm that converts voice to text to control the robot mobility. The performance testing of the automatically moving robot intended for the elderly with Thai language voice commands revealed an accuracy of voice-to-text conversion for commanding the robot to move in designated directions of 100 percent, and the accuracy of voice-to-text conversion for commanding the robot to move in designated directions using English language was 80 percent, while that for both Thai and English commands was 70 percent. Errors in voice-to-text conversion occurred when commands were not clearly spoken or pronounced or when commands were issued from people located in a very noisy place.

Voice Controlled Wheel Chair with Intelligent Stability

2020 ◽  
Vol 17 (8) ◽  
pp. 3689-3693
Author(s):  
Arumugam Srinivasan ◽  
ThangaRaj Vinoth ◽  
R. Ravinder ◽  
SamuelPriyan Mosses ◽  
Yagnesh Kumar
Keyword(s):  
Recognition Rate ◽  
Voice Recognition ◽  
Servo Motor ◽  
Voice Command ◽  
Wheel Chair ◽  
Physically Challenged ◽  
The Voice

This paper is about a wheel chair controlled by voice command developed to help the physically challenged people. The physically challenged person as user can control the wheel chair by voice commands such as forward, reverse etc. ‘Julian’ a grammar based recognizer is used in this system. The basic commands, the short motion command and the command of verification are the three commands given to the system. Julian has successful recognition rate of 98% of commands given to it based on the studies and experiments conducted. Patients and physically challenged people are depending on others while moving on wheel chair hence they do not have freedom in motion. This voice command controlled wheel chair provides freedom of motion to patients and physically challenged to be independent on movement to the respective places. Arduino control the motor by motor driver based on the commands processed by the voice recognition module. This voice command controlled wheel chair provides motion on the patient or physically challenged people voice. Gyroscopic sensor is used to maintain the level straight of the wheel chair when the person travelling in the slope it prevents the person to feel off from the chair which is operated by servo motor.

scholarly journals Rakshak – An IoT Based Wearable Device for Women Safety

2020 ◽  
Vol 9 (4) ◽  
pp. 2068-2077
Keyword(s):  
Large Scale ◽  
Voice Recognition ◽  
Wearable Device ◽  
Voice Command ◽  
Sequence Of Events ◽  
Remote Storage ◽  
Crimes Against Women ◽  
Security Device ◽  
Smart Safety ◽  
The Voice

Women safety is a rising concern in many parts of the world. Crimes against women are increasing at an alarming rate. To counter this situation, a technology driven solution with the help of latest technological advancements can be developed. The aim is to develop an IoT based wearable device which works on the concept of voice recognition and allow women in the case of emergency. The device can send SOS messages to nearby help centers and relatives based on the person’s location when it is activated. The device can also collect evidence for further legal procedures and save them in a remote storage. The concepts of Internet of Things (IoT), Voice Recognition and Cloud Computing are used to achieve this. The objective is to use these concepts to develop a working prototype of a smart safety device for women that can help them in such situations and prevent such incidents from taking place. ‘Rakshak’ is an IOT based solution, which will help us to combat these situations effectively. It contains a concealed GSM, GPS, camera, microphone, and voice recognition module. The woman can activate a sequence of events using a voice command. The voice command will send out an SOS signal to contact list, and nearby authorities. The authorities can rush to the location of the incident and prevent it. The camera will start recording as soon as the voice command is activated, and this data will be sent to cloud storage. In case an attack takes place, the footage of this camera will serve as evidence against the attacker. In addition to preventing the incident, this device may create a sense of fear in their minds which may reduce the frequency of such incidents. Thus, this solution can be applicable as a wearable security device in different domains and can be used on a large scale to ensure women safety.

The Effects of Questionnaire Length and Behavioral Consequences on Careless Responding

2020 ◽  
Vol 36 (2) ◽  
pp. 410-420 ◽  
Author(s):  
Anthony M. Gibson ◽  
Nathan A. Bowling
Keyword(s):  
Self Report ◽  
Randomized Experiments ◽  
High Quality ◽  
Buffering Effect ◽  
Careless Responding ◽  
Main Effect ◽  
Limited Support ◽  
Report Data ◽  
Self Report Data ◽  
Consistent Support

Abstract. The current paper reports the results of two randomized experiments designed to test the effects of questionnaire length on careless responding (CR). Both experiments also examined whether the presence of a behavioral consequence (i.e., a reward or a punishment) designed to encourage careful responding buffers the effects of questionnaire length on CR. Collectively, our two studies found (a) some support for the main effect of questionnaire length, (b) consistent support for the main effect of the consequence manipulations, and (c) very limited support for the buffering effect of the consequence manipulations. Because the advancement of many subfields of psychology rests on the availability of high-quality self-report data, further research should examine the causes and prevention of CR.

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