• Title/Summary/Keyword: Voice Recognition Interface

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Implementation of Human and Computer Interface for Detecting Human Emotion Using Neural Network (인간의 감정 인식을 위한 신경회로망 기반의 휴먼과 컴퓨터 인터페이스 구현)

  • Cho, Ki-Ho;Choi, Ho-Jin;Jung, Seul
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.9
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    • pp.825-831
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    • 2007
  • In this paper, an interface between a human and a computer is presented. The human and computer interface(HCI) serves as another area of human and machine interfaces. Methods for the HCI we used are voice recognition and image recognition for detecting human's emotional feelings. The idea is that the computer can recognize the present emotional state of the human operator, and amuses him/her in various ways such as turning on musics, searching webs, and talking. For the image recognition process, the human face is captured, and eye and mouth are selected from the facial image for recognition. To train images of the mouth, we use the Hopfield Net. The results show 88%$\sim$92% recognition of the emotion. For the vocal recognition, neural network shows 80%$\sim$98% recognition of voice.

Development of a Work Management System Based on Speech and Speaker Recognition

  • Gaybulayev, Abdulaziz;Yunusov, Jahongir;Kim, Tae-Hyong
    • IEMEK Journal of Embedded Systems and Applications
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    • v.16 no.3
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    • pp.89-97
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    • 2021
  • Voice interface can not only make daily life more convenient through artificial intelligence speakers but also improve the working environment of the factory. This paper presents a voice-assisted work management system that supports both speech and speaker recognition. This system is able to provide machine control and authorized worker authentication by voice at the same time. We applied two speech recognition methods, Google's Speech application programming interface (API) service, and DeepSpeech speech-to-text engine. For worker identification, the SincNet architecture for speaker recognition was adopted. We implemented a prototype of the work management system that provides voice control with 26 commands and identifies 100 workers by voice. Worker identification using our model was almost perfect, and the command recognition accuracy was 97.0% in Google API after post- processing and 92.0% in our DeepSpeech model.

Implementation of speech interface for windows 95 (Windows95 환경에서의 음성 인터페이스 구현)

  • 한영원;배건성
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.5
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    • pp.86-93
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    • 1997
  • With recent development of speech recognition technology and multimedia computer systems, more potential applications of voice will become a reality. In this paper, we implement speech interface on the windows95 environment for practical use fo multimedia computers with voice. Speech interface is made up of three modules, that is, speech input and detection module, speech recognition module, and application module. The speech input and etection module handles th elow-level audio service of win32 API to input speech data on real time. The recognition module processes the incoming speech data, and then recognizes the spoken command. DTW pattern matching method is used for speech recognition. The application module executes the voice command properly on PC. Each module of the speech interface is designed and examined on windows95 environments. Implemented speech interface and experimental results are explained and discussed.

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The Study on the Quality Assessment Model of Aircraft Voice Recognition Software (항공기 음성인식 소프트웨어 품질 평가 모델 연구)

  • Lee, Seung-Mok
    • Journal of Software Assessment and Valuation
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    • v.15 no.2
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    • pp.73-83
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    • 2019
  • Voice Recognition has recently been improved with AI(Artificial Intelligence) and has greatly improved the false recognition rate and provides an effective and efficient Human Machine Interface (HMI). This trend has also been applied in the defense industry, particularly in the aviation, F-35. However, for the quality evaluation of Voice Recognition, the defense industry, especially the aircraft, requires measurable quantitative models. In this paper, the quantitative evaluation model is proposed for applying Voice Recognition to aircraft. For the proposal, the evaluation items are identified from the Voice Recognition technology and ISO/IEC 25000(SQuaRE) quality attributes. Using these two perspectives, the quantitative evaluation model is proposed under aircraft operation condition and confirms the evaluation results.

An Interactive Voice Web Browser Usable as a Multimodal Interface in Information Devices by Using VoiceXML

  • Jang, Min-Seok
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.6
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    • pp.771-775
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    • 2004
  • The present Web surroundings is mostly composed of HTML(Hypertext Mark-up Language) and thereby users obtain web informations mainly in GUI(Graphical User Interface) environment by clicking mouse in order to keep up with hyperlinked informations. However it is very inconvenient to work in this environment comparing with easily accessed one in which human`s voice is utilized for obtaining informations. Using VoiceXML, resulted from XML, for supplying the information through telephone on the basis of the contemporary matured technology of voice recognition/synthesis to work out the inconvenience problem, this paper presents the research results about VoiceXML VUI(Voice User Interface) Browser designed and implemented for realizing its technology and also the VoiceXML Dialog designed for the purpose of the browser's efficient use.

A Study on the Voice Interface for Mobile Environment (모바일기반 음성인터페이스에 관한 연구)

  • Kim, Soo-Hoon;Ahn, Jong-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.1
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    • pp.199-204
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    • 2013
  • Google's android-based voice interface is limited to the web application and the users are rare. In this paper, We suggest the method that can be done using existing android-based voice engine and develope voice application. We also study the environments of android-based voice interface and present the appropriate voice interface in mobile environment.

Development of a Voice User Interface for Web Browser using VoiceXML (VoiceXML을 이용한 VUI 지원 웹브라우저 개발)

  • Yea SangHoo;Jang MinSeok
    • Journal of KIISE:Computing Practices and Letters
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    • v.11 no.2
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    • pp.101-111
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    • 2005
  • The present web informations are mainly described in terms of HTML, which users obtain through input devices such as mouse, keyboard, etc. Thus the existing GUI environment have not supported human's most natural information acquisition means, that is, voice. To solve the problem, several vendors are developing voice user interface. However these products are deficient in man -machine interactivity and their accommodation of existing web environment. This paper presents a VUI(Voice User Interface) supporting web browser by utilizing more and more maturing speech recognition technology and VoiceXML, a markup language derived from XML. It provides users with both interfaces, VUI as well as GUI. In addition, XML Island technology is applied to the bowser in a way that VoiceXML fragments are nested in HTML documents to accommodate the existing web environment. Also for better interactivity, dialogue scenarios for menu, bulletin, and search engine are suggested.

The Development of Data Capturing Modules by Speech-Voice Recognition (음성인식에 의한 측량자료취득 모듈개발)

  • 조규전;이영진;차득기
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.18 no.3
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    • pp.279-285
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    • 2000
  • Men's desire for the human interface, due to the development of voice processing technology of computer, and the development of intelligent MMI (Man-Machine Interface) computer technology enabled us to operate computers with our voice without using keyboards or other input systems. Especially, by obtaining field data and layout from the complicated surveying environment and applying the voice recognition technology to the actual surveying work, we can save a lot of working hours and costs. According to the result of this study, the real time Geo-Coding and graphic data-coding were possible with only 25 words by connecting the software engine which recognizes 50,000 different words and the voice recognition technology based on the super IC which recognizes 60 different words with the Total-station and the RTK-GPS.

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Program Development of Emotional Human and Computer Interface

  • Jung, Seul;Cho, Kiho
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.102.3-102
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    • 2002
  • $\textbullet$ Human and computer interface(HCI) $\textbullet$ Voice recognition $\textbullet$ Image recognition $\textbullet$ Neural network $\textbullet$ Hopfield net

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Voice Activity Detection Algorithm using Wavelet Band Entropy Ensemble Analysis in Car Noisy Environments (문서 편집 접근성 향상을 위한 음성 명령 기반 모바일 어플리케이션 개발)

  • Park, Joo Hyun;Park, Seah;Lee, Muneui;Lim, Soon-Bum
    • Journal of Korea Multimedia Society
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    • v.21 no.11
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    • pp.1342-1352
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    • 2018
  • Voice Command systems are important means of ensuring accessibility to digital devices for use in situations where both hands are not free or for people with disabilities. Interests in services using speech recognition technology have been increasing. In this study, we developed a mobile writing application using voice recognition and voice command technology which helps people create and edit documents easily. This application is characterized by the minimization of the touch on the screen and the writing of memo by voice. We have systematically designed a mode to distinguish voice writing and voice command so that the writing and execution system can be used simultaneously in one voice interface. It provides a shortcut function that can control the cursor by voice, which makes document editing as convenient as possible. This allows people to conveniently access writing applications by voice under both physical and environmental constraints.