Role of easy vr in Arduino Speech Processing
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This document discusses the role of EasyVR in speech recognition with Arduino. It provides details on the EasyVR module, including that it allows Arduino boards to perform voice recognition. It describes the components of EasyVR like the microphone and programming protocol. It also provides steps for integrating EasyVR with Arduino and starting sound recognition.
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For more information, check out my papers online:
Command controlled robot:
http://www.ijtre.com/manuscript/2014010976.pdf
Self controlled robot:
http://www.ijtre.com/manuscript/2014011008.pdf
Gesture controlled robot:
http://www.ijtre.com/manuscript/2014011107.pdf
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Abstract
Voice Controlled Robot (VCR) is a mobile robot whose motions can be controlled by the user by giving specific voice commands. The speech is received by a microphone and processed by the voice module. When a command for the robot is recognized, then voice module sends a command message to the robot’s microcontroller. The microcontroller analyzes the message and takes appropriate actions. The objective is to design a walking robot which is controlled by servo motors. When any commands are given on the transmitter, the EasyVR module will take the voice commands and convert the voice commands into digital signals. Then these digital signals are transmitted via ZIGBEE module to the robot. On the receiver side the other ZIGBEE module receives the command from the transmitter side and then performs the respective operations. The Hardware Development board used here is ATmega 2560 development board. In ATmega 2560 there are 15 PWM channels which are needed to drive the servo motors. Addition to this there is camera which is mounted in the head of the robot will give live transmission and recording of the area. The speech-recognition circuit functions independently from the robot’s main intelligence [central processing unit (CPU)]. This is a good thing because it doesn’t take any of the robot’s main CPU processing power for word recognition. The CPU must merely poll the speech circuit’s recognition lines occasionally to check if a command has been issued to the robot. The software part is done in Arduino IDE using Embedded C. Hardware is implemented and software porting is done.
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Implementation of Robotic System Using Speech Recognition Technique based on ...
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3) The sensors send data to the microcontroller which identifies the sign and plays the corresponding audio file through a connected speaker, translating signs into vocal speech in real-time. This system aims to help mute individuals communicate without needing an interpreter.
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Phase1 presentation1FINAL.pptx
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Voice controlled wheel chairmonu singh Speech is the most important way of communication for people. Using the speech as the interface for processes became more important with the improvements of artificial intelligence. In this project, it is implemented to control a wheelchair with speech comment. Speech commends were taken to the computer by the microphone, the features were extracted with The Mel Frequency Spectral Coefficients algorithms and they were recognized by the help of Artificial Neural Networks. Finally, the comments have converted the form in which the wheel chair can recognize and move accordingly. Our proposed system aim at a robotic vehicle operated by human speech commands. The system operates with the use of an android device which transmits voice commands to raspberry pi to achieve this functionality. The transmitter consists of the android phone Bluetooth device. The voice commands recognized by the module are transmitted through the Bluetooth transmitter. These commands are detected by the wheel chair in order to move it in left, right, backward and front directions. The Bluetooth receiver mounted on raspberry pi is used to recognize the transmitted commands and decode them. The controller then drives the vehicle motors to move it accordingly. This is done with the use of a driver IC used to control the motor movements. The Bluetooth technology used to transmit and receive data allows for remotely operating the system within a good range. Voice operated robot is used for one moving object is developed such that it is moved as per commands are given by the voice recognition module and that command is received by robot and robot is matched the given command with stored program and then set the command as per voice using wireless communication.
Voice recognition based advance patients room automation
Voice recognition based advance patients room automationeSAT Journals Abstract This is a unique and most useful system for totally or partially handicapped patients who are unable do basic tasks. Patients who are unable do anything have to totally depend on nurses. Hospitals have to provide a round-the-clock 24 Hour an attendant for these patients and hence total fees of hospitals gets increased. The device that we proposed here can actually help these patients and hospitals without requiring 24 hour attendant. With this system, patient can call nurse or any attendant at any time whenever required by simply voice controlled commands. This system listen voice commands and can call nurse by simply ringing bell. It can also control basic switching on/off tasks of fan, light and any device by patient voice. Keywords Automation, hospital automation, nursing, voice recognition, Atmega328 applications, Easy VR.
Ijarcet vol-2-issue-7-2389-2397
Ijarcet vol-2-issue-7-2389-2397Editor IJARCET This document describes the design and implementation of a voice activated, programmable, multipurpose robot. The robot uses a microcontroller and various integrated circuits to enable voice control and wireless control via dual-tone multi-frequency signaling. The document provides details on the circuit design and components, software design in C and Assembly languages, and concludes the robot demonstrates satisfactory performance for applications such as guiding visitors or patients.
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Bt35408413IJERA Editor International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IRJET-Arduino Based Voice Controlled System
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2) The system uses a Bluetooth module to receive voice commands from a mobile phone app, which are processed by an Arduino controller to control motors via a motor driver and control home appliances via relays.
3) The system provides mobility assistance and home automation capabilities for physically challenged users through voice command recognition and wireless control.
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VOICE OPERATED ROBOT DOCUMENTATIONSree Harini Dunnala The document describes a project submitted by 4 students to fulfill the requirements for a Bachelor of Technology degree, focusing on developing a voice operated robot under the supervision of Loknath Reddy. It includes certificates, declarations, acknowledgements and an abstract describing the robot's ability to perform functions through voice commands by interpreting human language and converting it to machine commands.
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Co-Constructing Explanations for AI Systems using Provenance
Co-Constructing Explanations for AI Systems using ProvenancePaul Groth Explanation is not a one off - it's a process where people and systems work together to gain understanding. This idea of co-constructing explanations or explanation by exploration is powerful way to frame the problem of explanation. In this talk, I discuss our first experiments with this approach for explaining complex AI systems by using provenance. Importantly, I discuss the difficulty of evaluation and discuss some of our first approaches to evaluating these systems at scale. Finally, I touch on the importance of explanation to the comprehensive evaluation of AI systems.
Cyber Security Legal Framework in Nepal.pptx
Cyber Security Legal Framework in Nepal.pptxGhimire B.R. The presentation is about the review of existing legal framework on Cyber Security in Nepal. The strength and weakness highlights of the major acts and policies so far. Further it highlights the needs of data protection act .
Jeremy Millul - A Talented Software Developer
Jeremy Millul - A Talented Software DeveloperJeremy Millul Jeremy Millul is a talented software developer based in NYC, known for leading impactful projects such as a Community Engagement Platform and a Hiking Trail Finder. Using React, MongoDB, and geolocation tools, Jeremy delivers intuitive applications that foster engagement and usability. A graduate of NYU’s Computer Science program, he brings creativity and technical expertise to every project, ensuring seamless user experiences and meaningful results in software development.
AI Emotional Actors: “When Machines Learn to Feel and Perform"
AI Emotional Actors: “When Machines Learn to Feel and Perform"AkashKumar809858 Welcome to the era of AI Emotional Actors.
The entertainment landscape is undergoing a seismic transformation. What started as motion capture and CGI enhancements has evolved into a full-blown revolution: synthetic beings not only perform but express, emote, and adapt in real time.
For reading further follow this link -
https://akash97.gumroad.com/l/meioex
LSNIF: Locally-Subdivided Neural Intersection Function
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https://arxiv.org/abs/2504.21627
Role of easy vr in Arduino Speech Processing
- 1. Role of EasyVR in Arduino Speech Recognition Presented By: Mohammad Rehan Khan Annamalai University Cse A Batch Roll No: 111
- 4. ARDUINO BOARD • ARDUINO IS A SINGLE BOARD MICROCONTROLLER • IT IS INTENDED TO MAKE THE APPLICATION OF INTERACTIVE OBJECTS OR ENVIRONMENT MORE ACCESSIBLE. • THE HARDWARE CONSISTS OF AN OPEN-SOURCE HARDWARE BOARD DESIGNED AROUND AN 8-BIT ATMEL AVR MICROCONTROLLER. • AURDUINO PLATFORM WAS DESIGNED TO PROVIDE AN INEXPENSIVE AND EASY WAY FOR HOBBYIST STUDENT AND PROFFESSIONALS TO CREATE DEVICES THAT INTERACT WITH THEIR ENVIRONMENT USING SENSORS AND ACTUATORS.
- 5. ARDUINO BOARD • COMMON EXAMPLES FOR PROJECT AS BEGINNERS ARE : SIMPLE ROBOTS, THERMOSTATS, MOTION DETECTORS, LIGHTING SYSTEMS ETC • BY USING AN LED DRIVER CHIP WE CA N CONTROL UPTO 8X8 MATRIX OF LED’S OR AN 8 DIGIT LED DISPLAY. • CURRENT ARDUINO BOARDS ARE PROGRAMMED VIA USB IMPLEMENTED USING USB-TO-SERIAL ADAPTER CHIPS SUCH AS THE FTDI FT232. • ARDUINO PROGRAMS ARE WRITTEN IN C AND C++. THE ARDUINO IDE COMES WITH A SOFTWARE LIBRARY TOOL CALLED WIRING.
- 6. ARDUINO BOARD • ARDUINOS COME IN DIFFERENT FLAVOURS OR TYPES ACCORDING TO THEIR USE. • MOST ENTHUSIASTS USE SITES LIKE Adafruit AND Element14 • YOU SHOULD HAVE A USB A TO B CABLE TO PROGRAM THE DEVICE.
- 7. EASY-VR
- 8. EASY-VR
- 9. EASY-VR
- 10. EASY-VR Speech Recognition • ARDUINO IS NOT ABLE TO DO VOICE RECOGNITION ON ITS OWN,BUT THERE ARE MANY SOFTWARE MODULES & SHIELDS WHICH CAN MAKE IT TO DO SO. • Easy VR SPEECH RECOGNITION MODULE/SHIELD IS A MULTIPURPOSE SPEECH RECOGNITION MODULE DESIGNED TO ADD VERSATILE, ROBUST AND COST EFFECTIVE SPEECH AND VOICE RECOGNITION CAPABILITIS TO VIRTUALLY CONNECT TO ANY APPLICATION. • ARDUINO IS INTEGRATED WITH EASY-VR MODULE FOR SPEECH RECOGNITION. • EASY-VR IS THE THIRD GENERATION VERSION OF THE SUCCESSFUL VRbot MODULE AND BUILDS ON THE FEATURE AND FUNTIONALITIESOF ITS PREDECESSOR.
- 11. EASY-VR Speech Recognition • IN ADDITION TO THE EASY-VR 2.0 FEATURES LIKE 28 USER DEFINED SPEAKER INDEPENDENT COMMANDS, THE SHIELD HAS ADDITIONAL CONNECTORS FOR THE MICROPHONE INPUT, AN 8OHM SPEAKER OUTPUT ,AUDIO LINE-OUT/HEADPHONE JACK AND ACCESS TO THE I/O PINS OF THE EASY-VR MODULE. • A PROGRAMMABLE LED IS ALSO INCLUDED TO SHOW FEEDBACK DURING RECOGNITION TASKS.
- 12. EASY-VR Speech Recognition • THE EASY VR ADDS CONVENIENT FEATURES SUCH AS FIRMWARE UPDATE CAPABILITY ,8 OHM SPEAKER OUTPUT AND ADDITIONAL (Si) LANGUAGES. • A HOST OF BUILT IN SPEAKER INDEPENDENT COMMANDS (AVAILABLE IN ENGLISH,ITALIAN,JAPANESE,GERMAN,SPANISH AND FRENCH) FOR READY TO RUN BASIC CONTROLS. • SUPPORTS UPTO 32 USER DEFINED SPEAKER DEPENDENT TRIGGERS OR COMMANDS AS WELL AS VOICE PASSSWORDS. • EASY TO USE SIMPLE GRAPHICAL USER INTERFACE TO PROGRAM VOICE COMMANDS TO YOUR ROBOT. MODULE CAN BE USED WITH ANY HOST WITH AN UART INTERFACE.
- 14. EASY-VR Speech Recognition • THE EASY-VR CAN BE POWERED BY ANYWHERE BETWEEN 3.3 AND 5.5V, AND TYPICALLY CONSUMES 12mA OF CURRENT IN OPERATION. • ONE CAN MAKE HIS/HER OWN SOUND TABLES USING SENSORY QUICK SYNTHESIS TOOL • THE NEW EASY-VR GUI INCLUDES A COMMAND TO PROCESS AND DOWNLOAD CUSTOM SOUND TABLES TO THE MODULE. • THE SET() AND LOOP() FUNCTIONS ARE THE COMMON STRUCTURE OF THE EASY VR PROGRAMMING.
- 15. EASY-VR
- 16. EASY-VR Speech Recognition MICROPHONE The microphone provided in the EasyVR module is an omni-directional electret condenser microphone (Horn EM9745P-382) Sensitivity : -38dB (0dB=1V/Pa @1KHz) Load Impedance: 2.2K Operating Voltage : 3V Almost flat frequency: 100Hz – 20kHz response in range
- 17. EASY-VR Speech Recognition • When mounting the microphone in the final device, keep in mind the following guidelines: • FLUSH MOUNTING • NO OBSTRUCTION
- 18. EASY-VR Speech Recognition • INSULATION • DISTANCE: 15 to 30 cm distance decreases the signal power by a factor of 4.
- 19. EASY-VR PROGRAMMING COMMUNICATION PROTOCOL • Communication with the Easy-VR module uses a standard UART interface compatible with 3.3-5V TTL/CMOS logical levels, according to the powering voltage VCC. A typical connection to an MCU-based host.
- 20. ARGUMENTS MAPPING • Command or status messages sent over the serial link may have one or more numerical arguments in the range -1 to 31. • They are encoded using mostly characters in the range of uppercase letters. These are some useful constants to handle arguments easily:
- 21. EASY-VR Speech Recognition • Steps for starting the sound recognition: • Insert the EasyVR Shield on top of your Arduino board .(INTEGRATION) • If you want audio output, either wire an 8Ω speaker into the screw terminals (J10) or connect active speakers or headphones to the 3.5mm line-out jack • Connect the supplied microphone to the MIC IN (J11) connector • Copy the EasyVR library to your Arduino “libraries” folder on your PC • Connect your Arduino board to your PC via USB.
- 24. THANK YOU