Voice Recognition Module Research Articles

Artificially intelligent device use in service delivery: a systematic review, synthesis, and research agenda

ABSTRACT This study undertakes a systematic review of Artificial Intelligence and its applications to service encounters and the hospitality industry by reviewing publications that (1) mainly discuss AI technology, (2) are in the context of services, and (3) investigate the use or the adoption of AI technology rather than technical issues such as system design, algorithms, voice recognition modules, or psychological knowledge representations. Seven major themes are identified via a review of 63 publications. The themes are (1) current AI technology in service frontline, (2) levels of artificial intelligence, (3) AI agents, (4) human–AI service encounters, (5) theoretical frameworks of the acceptance of AI, (6) reasons for adopting AI, and (7) potential challenges of AI. This study also offers a further research agenda that highlights nine critical research areas to guide human–AI interaction and AI adoption researches.

Design and Research of Intelligent Seats for the Elderly

This paper takes SCM of arm31 as the core to upgrade the function of intelligent seat for the elderly. To ensure that the SCM system can directly take over the system to form an automatic risk change out when the seat is in a dangerous state such as uncontrolled sliding and excessive three-axis inclination. At the same time, the system uses iFLYTEK voice recognition module to realize the voice control of the seat, and the system uses the vital signs related app of the contracted hospital to realize the automatic alarm function of the hospital. The use of the seat can effectively improve the daily out safety of the elderly. It is very important to improve the quality of life of the elderly.

Design and Development of a Voice Actuated Hospital Bed for Patient Care

In the recent twentieth century, medical beds are subjected to advanced techniques particularly in the domain of making it intelligent for patient care. The past fifteen years have brought out various changes in the smart-bed technologies concept but no legit proof for existence of the project were shown. These and other earlier systems more often utilize at least one pushbutton or pressure-sensitive type switches to enact the different correspondence and control capacities. The proposed aim is to build a prototype bed which can respond to basic commands and helps the user to recline, incline and command for a food table which also monitors the minimum spacing required for the bed to incline or recline using a simple mechanism and therefore, sends a feedback to the system warning about the spacing between them. The voice recognition (VR3) module is used to detect the keywords for the trained voice when the user is passing commands to perform any of the actions such as Inclination, Reclination, Upward, Downward etc. Functions like bedroom necessities, turning on appliances and various other activities can also be carried out as an extended function.

Design a Chatbot for Chennai Corporation Using Logistic Regression Algorithm

Chatbots are the famous nowadays in business because of its service offered to the community at large. They provide support of 24*7 for business in terms of customercare, helpline, planning, analyzing and decision making. In this paper, a chatbot for Chennai corporation is proposed. This chatbot helps the citizens in providing the responses for their queries related to civic problems. There is no such system is available to handle the public grievances automatically. This system handles the public query and the relevant suggestion and responses will be given promptly. The chatbot receives the text or voice input and processed. The voice recognition module used to recognize the voice query and the voice to text convertor used to convert the voice data into text format. The matchmaking process used to match the input query with the available data set and the relevant responses is generated. If no match is for the query, the matchmaker will find the relevant response from online sources. The output channel equipped with the text to voice converter which converts the text data into voice and it will be delivered to the end user. The naïve bayers and logistic regression algorithm is implemented for classifying the query and the performance is compared. The result shows that the logistic regression algorithm outperform well with the precision and recall values.

Voice-based motion control of a robotic vehicle through visible light communication

Robotic vehicles and their applications have gained widespread significance in recent times in order to automate every sphere of human activities. Besides, it invites a great deal of attention in environments where human presence or intervention becomes very difficult and in most cases not being possible. The paper therefore proposes a voice based movement and evolves a direction control scheme for a robotic vehicle in a Light Fidelity (Li-Fi) medium with a view to exploit its available enormous bandwidth. Choice of Li-Fi as a medium owes to its quick response time and ability to respond to voice based commands. It engages the role of an artificial neural network (ANN) for recognizing the syllables through Levenberg–Marquardt training algorithm. The scheme relies on two sets of instructions issued to the vehicle controlled by the Arduino controller, which allows acting in accordance to the instruction recognized by the voice recognition module.

Voice recognition system for controlling electrical appliances in smart hospital room

Nowadays, most hospitals have new problem that is lack of medical nurse due to the number of patient increas rapidly. The patient especially with physical disabilities are difficult to control the switch on electrical appliances in patient’s room. This research aims to develope voice recognition based home automation and being applied to patient room. A miniature of patient’s room are made to simulate this system. The patient's voice is received by the microphone and placed close to the patient to reduce the noise.V3 Voice recognition module is used to voice recognition process. Electrical bed of patient is represented by mini bed with utilising motor servo. The lighting of patient room is represented by small lamp with relay. And the help button to call the medical nurse is represented by buzzer. Arduino Uno is used to handle the controlling process. Six basic words with one syllable are used to command for this system. This system can be used after the patient's voice is recorded. This system can recognize voice commands with an accuracy 75%. The accuracy can be improved up to 85% by changing the voice command into two syllables with variations of vowels and identical intonation. Higher accuracy up to 95% can be reached by record all the subject’s voice.

Smart Autonomous Wheelchair Controlled by Voice Commands-Aided by Tracking System

This study focuses on the design of an autonomous wheelchair based smart driving features for disabled persons. The movement directions and position tracking of the wheelchair are controlled and localized by pre-defined voice commands and global positioning system (GPS), respectively. Arduino microcontroller based on speaker dependent voice recognition module and tracking system based on quad-board SIM808 has been used to help the wheelchair navigation. The experimental tests of the proposed system have been done and given satisfactory results in controlling the wheelchair and making a call on demand. Hence the proposed system is a simple, easy to use and lowcost hardware for designing.

Voice Based Navigation System for the Blind People

This main aim of this project to provide voice-based navigation system for blind people using voice recognition module and it is intended to provide overall measures object detection and real time assistance via Global Positioning System (GPS) and ultrasonic sensors. This project aims at the development of an Electronic Travelling Aid (ETA) kit to help the blind people to find obstacle free path. This ETA is fixed to the stick of the blind people. When the object is detected near to the blinds stick it alerts them with the help of vibratory circuit. The blind person will give the destination’s name as the input to voice recognition module. GPS module continuously receives the latitude and longitude of the current location. GPS compares it with the destination’s latitude and longitude. The blind person receives the pronounced directions which he needs to follow to reach his destination.

Construction of a Wireless Smart Home System based on Voice Recognition

In this paper a design and construction of a wireless smart home system on voice recognition has been presented. The proposed system consists of a voice recognition module, Arduino Uno microcontroller, relay circuit and radio frequency transmitter and receiver. The voice recognition module needs to be trained first before it can be used to recognize commands. Upon successful recognition of voice command, the Arduino drives the corresponding load with the help of the relay circuit. Keyword : Wireless, smart home system, voice recognition DOI : 10.7176/ISDE/10-1-01

Controlling of Five Axis Manipulator with Turkish Voice Commands Using Microcontrollers

The interaction between human beings and machines has been increasing in conjunction with the development of computer technology. Controlling a system with voice-based commands is one of the most popular applications in this area. In this study, the main goal is to build a system, which is able to control a robotic arm comprised of five controllable axes with certain voice commands. The process of controlling the robotic arm starts with the matching of sounds taken from the user and sounds which were processed in voice recognition card and were defined by voice recognition card. Then, if there is a positive matching a data is sent to a microcontroller, which provides a communication between voice recognition module and servo motor drive card by the system. Finally, the microcontroller calculates the required angles by using the data provided by the previous process and sends this data to the servo motor drive card in order to realize the robotic arm action.

Design of IOS smart Home System Based on MQTT Protocol and Speech Recognition

With the rapid development of Internet of Things technology in recent years, speech recognition technology based on artificial intelligence and Internet of Things has gradually penetrated into various fields.In the traditional field of smart home systems, users generally need to manually set function scenes, which are time-consuming and labor-intensive and inconvenient for human-machine system interaction. In order to better meet the needs of people's intelligent life, to provide users with better control experience on smart home appliances, improve the quality of intelligent home life. This article designed a smart home control system that uses iOS as the core, voice recognition module as the interactive means, and MQTT communication protocol as data transfer.The system uses speech recognition technology based on artificial intelligence and deep learning to improve the recognition rate of speech input, achieve perfect interaction between humans and computers, and enable users to truly experience the intelligent and humanized characteristics of smart home systems.

Pengenalan dan Analisis Ucapan pada Sistem Kontrol Perangkat Listrik Menggunakan Arduino Uno

This study aims to develop an electrical device control system using speech recognition and perform the analysis factors that affect the accuracy of speech recognition. The system used the Arduino Uno as the main control board of the system, an Elechouse's voice recognition module as speech processing device and several output devices such as relays, LEDs and an LCD. This research resulted in 92,7% accuracy of speech recognition at the ideal condition and 66,85% at the noise condition. This study shows that the frequency, amplitude, slow tempo and timbre of command speech greatly affect the success of speech recognition.

Smart Home for the Abled and Disabled Aged Persons in Africa: Design and Development

Smart home is an intelligent home network whose services and infrastructure are based information and communication technology. It is an intelligent use of wireless technology for the implementation of automated home electrical/electronic appliances and devices, domestic tasks, and security devices, for the wellbeing of the occupant. However, the development of smart homes has focused mainly on building for the young and able-bodied persons for the purpose of enhancing home comfort, energy saving, and security, without considering the aged and disabled persons in Africa. The Smart Home System were implemented in existing home environments, with the automation focusing on recognition of voice commands and uses low-power RF wireless communication modules along with a microcontroller for message passing. The system consists of voice recognition module for voice input and recognition. The control signal of the recognized command is transmitted to the microcontroller, and the microcontroller uses this signal to control home appliances. The designed system was tested and the result showed that the level of system response is higher in dead home than in a live home, hence, the system performance is affected by the environmental noise and the accents of un-trained aged persons are not supported by it. This system is most suitable for the aged and the disabled persons living alone and is intended to control all lights and electrical appliances inside a house using voice commands. In this work a home automation control system based on voice recognition was designed, implemented and experimental tests done and results were obtained.

Design and Development of Hand Disabilities Tool To Turn On and Off Electronic Devices Using Voice Recognition Module V3

In today's modern era, electronic devices have become a necessity that is often used in everyday life. With the development of increasingly advanced science and technology, many things can be used to meet the needs in terms of controlling electronic devices, one of which is controlling electronic devices using voice commands, where this system can be used for people with hand disabilities. In this research, a system will be made using Voice Recognition Module V3 as voice recognition to turn on and turn off electronic devices. The Voice Recognition Module will receive input in the form of voice commands via the microphone as a transducer and is connected to Arduino uno as the main microcontroller which will access the Control Panel which consists of Relay and Contactor components as controlled objects connected to Electronic Devices (Lamps, TV and AC). In the results of the system research, the percentage of successful speech recognition according to the voice sample is 96.6% from 10 times the pronunciation of the command given to each command. While the percentage of success when giving orders only with fragments of words is 21.25%. At the success rate of giving voice commands to different people, the percentage of success is 81%. The success rate for giving commands will be more responsive when in a room without noise or conducive, but the success rate for giving commands will decrease when pronunciation is at a distance of 1M.

English

Automation is the latest trend comes to work in new field like industry, library, home etc. here we want to describe home automation, which can villagers also able to use in their village. Wherever we go, home buyers also think about automation in home to make it boom in city and well demanded estate. Home automation is the target for the rich people about their houses, now days. This paper presents the idea about wireless home automation that how we can implement automation in small villages, also describes the existing systems. Voice recognition module is the main part for easy operation and it is more advanced. So our friend, other family member’s voice may be matched and recognized by this module. 80 voice commands are stored with no group of instruction so our voice can also recognized with respect to 80 voice samples. 7 voice commands are work at a time. By the way, there were a problem occur in voice recognition module and we want to operate home appliances control then that time keypad managed this system by pressing just a key. Keypad works to operate home automation which is useful for elderly person, handicapped person and patients too. Children also used this system because their hand cannot reaches to switch board else switch board caused to children so this works operated by voice sampling.

Voice Recognition and Voice Navigation for Blind using GPS

2,3 Abstract: In this paper we have presented the design of the voice based navigation system for blind using voice recognition module and GPS module implemented on arduino board. This system helps the blind person to navigate. The blind person will give the destination's name as the input to voice recognition module. GPS module continously receives the latitude and longitude of the current location . GPS compares it with the destination's latitude and longitude. The blind person receives the pronounced directions which he needs to follow to reach his destination.

Smart Vehicle Control System based on ARM and μC/OS-II

The ARM7 controller is used in many applications. In this paper it is used as the core controller, to control the entire vehicle. A voice recognition module will be used for human interaction with the vehicle. This module will be at the transmitter side i.e. with the person, which gives the desired commands. The controller used at the transmitter side is PIC controller. This signal will be received by the controller at the receiver end placed on the vehicle for controlling. In controlling mainly four operations will be performed i.e. forward, stop, left, right in this prototype. To provide safety IR sensors will be used which gives feedback at the receiver end whenever there is any obstacle. For real time operation μcos-ii will be used to enhance the performance of system.

Multimodal System Based on Electrooculography and Voice Recognition to Control a Robot Arm

People with severe motor disorders cannot use their arms and/or hands to interact with the environment. In such cases, a human-machine interface can be used to allow these people to perform activities of daily life. Voice recognition would be the best method to control a device devoted to help with these tasks, but this method is very dependent on the background noise and, under certain circumstances, it cannot be used successfully. In this sense, other methods must be included in the system to assist the voice recognition module. In this project, electrooculography (EOG) has been selected due to its stability and robustness. This way, a multimodal system based on EOG and voice recognition has been developed to control a robotic arm. This paper presents the procedures designed to combine both methods to create a multimodal interface useful for disabled people. Tests presented in this document compare the skills of five different users while controlling the robotic arm to perform pick-and-place tasks. Task duration and accuracy have been measured to obtain specific scores that are used to evaluate both interaction methods independently and the multimodal combination of them. The system works successfully using both methods (EOG and voice recognition). In addition, the multimodal interface improves robustness and reduces the uncertainty generated by the environment when there is background noise.

Control of access for telephone service providers using voice recognition

A telecommunications network includes a plurality of subscriber stations, a plurality of network elements and a voice recognition module. The voice recognition module is associated with a network element and is configured to recognize at least one biometric voice parameter.

음성인식모듈을 이용한 선박조타용 임베디드 시스템 개발

최근 국내외적으로 소형선박의 효율적인 운용을 위해서 많은 자동화 기술의 발전을 이루었으나, 이에 따른 선박 운용은 더욱 복잡해져 각종 계기와 선박 기기를 조작해야하는 번거로움이 있다. 이러한 문제를 해결하기 위하여 휴먼 인터페이스 기술의 하나인 음성정보처리기술을 선박 운용시스템에 적용한 연구 사례가 있으나 아직까지 구체적인 시스템 구현이 미비하다고 할 수 있다. 따라서, 본 논문에서는 선박운항자의 및 부담경감 및 효율적인 선박운용을 위하여 음성인식 모델을 이용한 선박조타용 임베디드 시스템을 구현하고자 한다. 구체적인 연구방법으로는, 화자독립방식의 음성인식 모듈(VR-33R)을 이용하여 선박의 조타기를 제어할 수 있는 임베디드 시스템을 설계 및 구현하고, 실제 선박시스템을 축소한 모형선박의 조타시스템에 적용하여 그 효용성을 확인하고, 실용화를 위한 방안을 모색하고자 한다. Recently, various studies had been made for automatic control system of small ships, in order to improve maneuvering and to reduce labor and working on board. To achieve efficient operation of small ships, it had been accomplished to rapid development of automatic technique, but the ship operation had been more complicated because of the need to handle various gauges and instruments. To solve these problems, there are examples to be applied to the speech information processing technologies which is one of the human interface methods in the system operation of ship, but the implementation of definite system is still incomplete. Therefore, the purpose of this paper is to implement the control system for ship steering using the voice recognition module.