Voice Navigation System Research Articles

A Review on Voice Navigation System for the Visually Impaired

A ground-breaking voice navigation system seems as a ray of light in a world where blind people must overcome enormous obstacles to navigate strange places. For those with vision impairments, safely and independently navigating in unfamiliar situations presents substantial obstacles. This system is a paradigm shift in providing safe and independent mobility assistance for the visually handicapped, as it makes use of cutting-edge technologies. The voice navigation system gives users the confidence to confidently navigate uncharted territory by seamlessly integrating computer vision and machine learning capabilities. With the use of real-time obstacle classification and recognition capabilities, the system can give users vital information about their surroundings, empowering them to make wise decisions while traveling. The system's smartphone-based platform, which provides an intuitive interface that can be accessed with voice commands, is its basis. By utilizing deep learning algorithms and pre-trained models, the system can precisely identify barriers and guide people across intricate environments. Precise positioning and route planning are made possible by the system's integration of GPS technology. Users receive up-to-date information on their location and the most efficient route to their destination via voice-activated instructions and advice. Individual user preferences are catered to by customizable options, which guarantee a tailored and user-friendly experience. A wider user base can utilize the system, democratizing access to necessary navigation tools, due to its affordability and interoperability with commonly available smartphone devices. The results of experimental tests highlight the effectiveness of the system, showing that it can reliably and accurately guide visually impaired people across a variety of surroundings. Through the promotion of increased autonomy and mobility, the voice navigation system enables users to move with unprecedented liberty and self-assurance, surmounting obstacles and opening up novel prospects. Key Words: : Voice navigation system, Machine learning, GPS technology, Deep learning algorithms, Navigation tools.

PC Voice Navigation using Python

With the use of a software programmer called PC Voice Navigation System, users may navigate and operate their laptops and desktops by speaking instructions. The development of a PC voice navigation system utilizing the Python programming language is covered in this research report. An intuitive and hands-free user experience is offered by the system thanks to the utilization of text-to-voice synthesis, natural language [1]. processing, and speech recognition. A personal assistant for Linux-based systems is what it seeks to create. Cortana for Windows and Siri for iOS are two examples of virtual assistants that inspire Jarvis. It's been built to offer a User-Friendly Interface (UFI) for carrying out a range of operations by using certain Well-Defined Commands. Either voice commands or

PFHTS-IDSS: A Hybrid HTS-based Framework for Indonesian Speech Synthesis via Phoneme and Full-context Lab

In recent years, globalization has highlighted the importance of having machines that can truly provide customized communication for different languages. Majority of the research in the field focus on developing technologies for widely used languages such as English. In this study, we apply HMM-based speech synthesis (HTS) technology for Indonesian language. The proposed hybrid HTS-based framework, PFHTS-IDSS, uses phoneme and full-context lab to synthesize Indonesian with higher accuracy. First, we identify a list of Indonesian phonemes according to the initial-final structure of Chinese language. Based on this, we add zero-initials that match the Indonesian acoustic performance and HTS, which can make the synthesized speech natural and smooth. Second, we consider Indonesian phonemes as synthetic units to synthesize speech through the triphone and full-context lab. In addition, we design context properties of the full-context lab and the corresponding question set to train the acoustic model, which can eliminate machine sounds. Experimental results suggest that the accuracy of phoneme segmentation (PSA) and the naturalness of speech synthesis (SSN) are significantly improved via PFHTS-IDSS. Especially, the PSA of selecting phonemes as synthetic units reaches 88.3% and the corresponding SSN based on full-context lab is 4.1. The results demonstrated by PFHTS-IDSS presented in this paper may be used in multilingual free interactive system to promote better communication in terms of voice navigation, intelligent speaker and question-answering system.

GPS based Voice Navigation System for Blind People

GPS based Voice Navigation System for Blind People

Precision Control and Dynamic Positioning of ROVS in Intervention Operations

A smart Remotely Operated Vehicle, ROV LATIS, is a prototype platform to test and validate OceanRINGS - a suit of smart technologies for subsea operations, developed at Mobile & Marine Robotics Research Centre, University of Limerick. It is a next generation smart ROV with unique features, including multiple modes of operation, advanced 2D and 3D displays, intuitive, versatile and easy to use pilot interface, built-in autotuning of low-level controllers, voice navigation and fault-tolerant control system. With integrated state-of-the-art navigation sensors/instruments, the vehicle can achieve precision navigation and subsea positioning.

Usefulness and problems of voice navigation system in automated external defibrillator (AED)

Usefulness and problems of voice navigation system in automated external defibrillator (AED)

Design decisions for a voice navigation system

Voice navigation systems allow users to interact with computer applications by voice. In this paper we present human factors research that evaluated design alternatives for major user interface components. In the first study we evaluated the appropriateness and discriminability of four sets of icons that were candidates for functions in theVoice Toolbar of the navigation system. In the second study we studied two different ways of organizing and presenting voice commands in theWhat Can I Say window. The key finding was that the alternative organization seemed to improve task performance. The results provided the basis for design recommendations.

Development of a voice navigation system

Toyota Motor Corp. has developed a navigation system which computes the route to the destination automaticaly and guides the route using synthetic voice. This system has such features as: displaying route information by means of digital mapping, locating of present position and detecting guidance timing through signals from the artificial satelites and vehicle's sensors, automaticaly displaying the intersection routing diagram, re-calculating route function, etc.