Rancang Bangun Sistem Kendali Berbasis Googlespeech Untuk Aktivasi Peralatan Listrik Rumah

App inventor adalah media pengembang perangkat lunak untuk sistem android, yang memudahkan para pengembangnya mengembangkan idenya, salah satunya aplikasi yang mampu mengendalikan peralatan listrik rumah menggunakan suara melalui telepon pintar yang dapat mengontrol aktivasi peralatan listrik rumah. Google Speech digunakan untuk pengenalan suara yang kemudian memberikan input ke Arduino untuk mengendalikan aktivasi peralatan listrik rumah, Peralatan listrik rumah seperti lampu, motor pompa akuarium, kipas, door lock dan motor servo yang memanfaatkan relay sebagai driver, kemudian dilakukanlah pengujian dan penelitian pada laporan ini berisi tentang pengujian akurasi pengenalan suara google Speech dan pengujian jarak koneksi Bluetooth. Tingkat keakurasian pada google Speech yang paling baik dari 3 bahasa yaitu Bahasa Indonesia disusulBahasa jawa dan terakhir Bahasa sunda, sedangkan untuk jarak koneksi pada Bluetooth dapat dioperasikan jarak maksimal pada ruang bebas adalah 20 m dan jarak maksimal pada ruang berhalangan adalah 13 m. App inventor is a software developer media for android systems, which makes it easy for developers to develop their ideas, i.e an application that is able to control home electrical appliances using voice over smart phones that can control the activation of home electrical appliances. Google Speech is used for voice recognition which then provides input to Arduino to control the activation of home electrical appliances, such as lamps, aquarium pump motors, fans, door locks. A servo motors is used as drivers, then test and research on this report Contains about Speech google speech recognition accuracy testing and Bluetooth connection distance testing. Level of accuracy on google Speech the best of 3 languages ie Indonesian followed by Java and last language Sundanese, while for the distance on the Bluetooth connection can be operated the maximum distance in free space is 20 m and the maximum distance in the absence room is 13 m.

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Mengapa Mesin Pencari Suara Gagal Mengenali Bahasa Indonesia? Sebuah Kajian Awal Tentang Asr (automatic speech recognition) Bahasa Indonesia

JURNAL ARBITRER ◽

10.25077/ar.1.1.88-98.2013 ◽

2013 ◽

Vol 1 (1) ◽

pp. 88

Author(s):

Totok Suhardiyanto

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Smart Phones ◽

Bahasa Indonesia

This paper is about the study of Indonesian Automatic Speech Recognition (ASR) designed by Informational- Technological Computer ( TIK).Specifically, this paper is aimed at describing how this tool operates in recognizing some in-puts in Indonesian language. TIK industry has something to do with Indonesian PWO where the use of the smart phones developes massively in Indonesia. This study processes around 10.774 data in Indonesian language in form of sentence, phrase, and word. From this number, less than 20% can be categorized perfect. The others have an error in format and recognition. This is due to some factors bringing about the failure of ASR in recognising the in put in Indonesian language.

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PERANCANGAN SMART DOOR LOCK MENGGUNAKAN VOICE RECOGNITION BERBASIS RAPBERRY PI 3

Journal CERITA ◽

10.33050/cerita.v4i2.641 ◽

2018 ◽

Vol 4 (2) ◽

pp. 180-189

Author(s):

Diah Aryani ◽

Dedy Iskandar ◽

Fitri Indriyani

Keyword(s):

Speech Recognition ◽

Computer System ◽

Voice Recognition ◽

Raspberry Pi ◽

Servo Motor ◽

Left Behind ◽

Door Lock

The server door is the main access to enter the server room. Currently the door lock on the server room is still done manually using the physical key as a tool to open or lock the door. Physical keys are easily lost or left behind which results in the officer not being able to enter the server room. This resulted in the officer can not access the server. Based on these reasons, the server door is integrated with a computer system that can unlock the door using voice recognition to unlock the server door. Voice recognition is able to identify a person through his voice. Voice recognition is divided into 2 parts namely speech recognition and speeker recognition. Meanwhile, the authors use the speech recognition section to open thedoor server door lock. Where, speech recognition can identify what is spoken by someone. The design of this tool is made using Raspberry pi 3 as the processing center and ULN2803 as ic to increase the voltage so that it can move the solenoid that serves to move the doorlock. Then raspberry gives command to the servo motor to open the door. Only staff who have id and password are only able to open the door lock on the server room using voice recognition. While those who do not have id and password can not unlock the door in the server room. So with the design of smart door lock tool using voice recognition raspberry-based pi 3 provides a level of security and access more computerized.

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Implementation of Voice based Touchless Lift System

International Journal of Scientific Research in Science and Technology ◽

10.32628/cseit217459 ◽

2021 ◽

pp. 241-246

Author(s):

B. Swathi ◽

Akshay S Prathap ◽

Aiswarya V Kumar ◽

Ranjitha R ◽

Raviteja Kaki

Keyword(s):

Speech Recognition ◽

Voice Recognition ◽

Smart Phones ◽

Physical Contact ◽

Future Generations ◽

Electronic Control ◽

The Disabled ◽

Transport Vehicle ◽

Physically Challenged ◽

Machine Communication

In this rapid world of technology where voice begins its era of domination to replace the touch screens from smart phones to huge computer systems, bringing voice in day to day affairs becomes significant. An elevator or lift is a transport vehicle that moves people or goods from on floor to another floor in a building. Typically push buttons were used to send requests to the elevators. In recent times touch buttons are coming to use. But now voice recognition can replace the push/touch technology. Elevators being one such system used in daily life serves this purpose of making future generations hands free which also becomes a boon for the disabled as well as helps during the pandemic situation to avoid physical contact. The main objective of this project is to propose and assemble a voice operated lift/elevator control system. The proposed system acts as human-machine communication system. This research combines electronic control technology with speech recognition technology. The input to the system is human speech. Speech recognition is the method of recognizing the vocal words to take the essential actions accordingly. This device is very helpful for paralysis, short height people and physically challenged persons.

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Measuring the effect of high-speed video data on the audio-visual speech recognition accuracy

Information and Control Systems ◽

10.31799/1684-8853-2019-2-26-34 ◽

2019 ◽

pp. 26-34

Author(s):

D. V. Ivanko ◽

D. A. Ryumin ◽

A. A. Karpov ◽

M. Zelezny

Keyword(s):

Speech Recognition ◽

High Speed ◽

Recognition Accuracy ◽

Video Data ◽

Visual Speech ◽

High Speed Video ◽

Visual Speech Recognition

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Effects of Speech Recognition Accuracy on the Performance of DARPA Communicator Spoken Dialogue Systems

10.21236/ada523241 ◽

2004 ◽

Author(s):

Gregory A. Sanders ◽

Audrey N. Le

Keyword(s):

Speech Recognition ◽

Recognition Accuracy ◽

Dialogue Systems ◽

Spoken Dialogue Systems ◽

Spoken Dialogue

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Environmental effects on reliability and accuracy of MFCC based voice recognition for industrial human-robot-interaction

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

10.1177/09544054211014492 ◽

2021 ◽

pp. 095440542110144

Author(s):

B Birch ◽

CA Griffiths ◽

A Morgan

Keyword(s):

Speech Recognition ◽

Voice Recognition ◽

Human Robot Interaction ◽

Hole Drilling ◽

Time Warping ◽

Mel Frequency Cepstral Coefficients ◽

Robot Interaction ◽

Extraction Algorithm ◽

Dynamic Time ◽

Manufacturing Environments

Collaborative robots are becoming increasingly important for advanced manufacturing processes. The purpose of this paper is to determine the capability of a novel Human-Robot-interface to be used for machine hole drilling. Using a developed voice activation system, environmental factors on speech recognition accuracy are considered. The research investigates the accuracy of a Mel Frequency Cepstral Coefficients-based feature extraction algorithm which uses Dynamic Time Warping to compare an utterance to a limited, user-dependent dictionary. The developed Speech Recognition method allows for Human-Robot-Interaction using a novel integration method between the voice recognition and robot. The system can be utilised in many manufacturing environments where robot motions can be coupled to voice inputs rather than using time consuming physical interfaces. However, there are limitations to uptake in industries where the volume of background machine noise is high.

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Voice Assistant — Application of Speech Recognition Technology in the Android System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.596.384 ◽

2014 ◽

Vol 596 ◽

pp. 384-387

Author(s):

Ge Liu ◽

Hai Bing Zhang

Keyword(s):

Speech Recognition ◽

Service Providers ◽

Voice Recognition ◽

Working Process ◽

Bottleneck Problems ◽

Speech Recognition Technology ◽

Android System ◽

The Voice

This paper introduces the concept of Voice Assistant, the voice recognition service providers, several typical Voice Assistant product, and then the basic working process of the Voice Assistant is described in detail and proposed the technical bottleneck problems in the development of Voice Assistant software.

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