Design and realization of the voice interaction system based on Web

2008 ◽  
Author(s):  
Zhenzhao Liu ◽  
Xudong Chen ◽  
Shangjun Wang
Keyword(s):  
Interaction System ◽  
Voice Interaction ◽  
The Voice

A VoIP-based voice interaction system for a virtual telephone operator using video calls

2014 ◽  
Author(s):  
Ryota Nishimura ◽  
Koji Sugiokay ◽  
Daisuke Yamamoto ◽  
Takahiro Uchiya ◽  
Ichi Takumi
Keyword(s):  
Interaction System ◽  
Voice Interaction

An Improved Spectral Subtraction Algorithm Study Based on Voice Human-Computer Interaction in Cockpit

2010 ◽  
Vol 139-141 ◽  
pp. 2154-2157
Author(s):  
Ji Xiang Lu ◽  
Ping Wang ◽  
Long Yi
Keyword(s):  
Speech Recognition ◽  
Human Computer Interaction ◽  
Speech Enhancement ◽  
Spectral Subtraction ◽  
Masking Effect ◽  
Auditory Masking ◽  
Speech Output ◽  
Voice Interaction ◽  
Speech Information ◽  
The Voice

The voice interaction in cockpit mainly includes speech recognition, enhancement and synthesis. This interaction transfers the speech information to the corresponding orders to make machines in cockpit work unmistaken, also feedback the execution results to users by speech output devices or some other ways. The speech enhancement technology is studied in this paper, aiming at the Voice Interactive. We propose an improved spectral subtraction (SS) algorithm based on auditory masking effect, by using two steps SS. The simulated results based on the segment SNR compared to the traditional SS show the effectiveness and superiority of the improved algorithm.

Study on Multichannel Speech Enhancement Technology in Voice Human-Computer Interaction

2011 ◽  
Vol 267 ◽  
pp. 762-767
Author(s):  
Ji Xiang Lu ◽  
Ping Wang ◽  
Hong Zhong Shi ◽  
Xin Wang
Keyword(s):  
Human Computer Interaction ◽  
Speech Enhancement ◽  
Speech Signal ◽  
Research Area ◽  
Primary Research ◽  
Enhancement Technology ◽  
Voice Interaction ◽  
The Voice ◽  
Signal Sources ◽  
Computer Interaction

As the primary research area of the Multimoda1 Human-computer Interaction, Voice Interaction mainly involves extraction and identification of the natural speech signal, where the former provides the reliable signal sources, which are analyzed by the latter. The multichannel speech enhancement technology is studied in this paper, aiming at the Voice Interactive. The simulated results show the effectiveness and superiority of the improved algorithm proposed in the paper.

scholarly journals Voice Interaction System for Race Games

2019 ◽  
Vol 3 (6) ◽  
Author(s):  
Xuanning Liang
Keyword(s):  
Computer Technology ◽  
Computer Games ◽  
Daily Life ◽  
Three Dimensional ◽  
The Other ◽  
Research Directions ◽  
The Road ◽  
Interaction System ◽  
The Future ◽  
Voice Interaction

With the advancement of the computer technology, there are now various kinds of computer games, especially race games (RAC). However, there are still many issues in race games. The first problem is that the interactivity is not fully-fledged. Information can only be input to the computers by manipulators without any feedback from the computers. The second problem is that players cannot pay attention to the information about the road conditions while they are driving. The main reason is that the monitor is usually too small to show the 3-D(three-dimensional) scenes of the game and it is hard for players to notice the road conditions. In order to figure out these problems, we designed a voice interaction system to improve the game experience. In the future, this technique will have a bright prospect. On one hand, this invention can be applied to VR games which will be one of the most popular research directions. While on the other hand, this invention can also be applied to automatic drive which will definitely change people’s daily life.

Voice interaction system model based on semantic search

2009 ◽  
Vol 29 (7) ◽  
pp. 1978-1980
Author(s):  
Yao-he LIU ◽  
qiao-yun Li
Keyword(s):  
Semantic Search ◽  
System Model ◽  
Model Based ◽  
Interaction System ◽  
Voice Interaction

Research and Implementation of Embedded Voice Interaction System Based on ARM in Intelligent Space

2012 ◽  
Vol 433-440 ◽  
pp. 5620-5627 ◽  
Author(s):  
Feng Yu Zhou ◽  
Jin Huan Li ◽  
Guo Hui Tian ◽  
Bao Ye Song ◽  
Cai Hong Li
Keyword(s):  
Speech Recognition ◽  
Speech Synthesis ◽  
Service Robots ◽  
Embedded Operating System ◽  
Practical Applications ◽  
Speech Output ◽  
Intelligent Space ◽  
Interaction System ◽  
Recognition Result ◽  
Voice Interaction

This paper presents the design and implementation of voice interaction system based on ARM in service robots intelligent space. ARM Cortex-M3 core based STM32F103 is used for main controller. And real-time embedded operating system μC/OS-II is used to schedule different tasks and manage peripheral devices. LD3320 and XFS4041CN are used for speech recognition and speech synthesis, respectively. Establish a dialogue set by defining the set of two-dimensional array, and then intelligent space updates the dialogue set dynamically via ZigBee wireless network for multiple scenes. If the recognition result is got by speech recognition module, dialogue management module will send corresponding texts to speech synthesis module, enabling text-to-speech output. At the same time, intelligent space decision support system will send corresponding commands to equipments by ZigBee. From lots of experiments and practical applications, we can conclude that voice interaction systems designed in the paper can gracefully satisfy the current request of voice interaction in service robots intelligent space, having great application value.

“Could you please repeat that?” Speech design best practices for minimizing errors

2018 ◽  
Vol 62 (1) ◽  
pp. 1002-1006
Author(s):  
Alyssa S. Hess ◽  
Jenny Zellman
Keyword(s):  
Best Practices ◽  
User Interfaces ◽  
Private Information ◽  
User Satisfaction ◽  
Interaction Design ◽  
Highly Sensitive ◽  
Voice User ◽  
Voice Interaction ◽  
The Voice ◽  
Voice Systems

Until recently, designing the interactions between systems and users has relied primarily on visual communication. However, with the dramatic increase in the use of virtual assistants, voice interaction design is now a sought after skill for human factors and user experience practitioners. In this practice-oriented paper, we aim to identify the best practices for dialog designers striving to minimize errors in communication between the user and the voice-enabled system. Furthermore, we highlight the technology behind voice systems as well as the importance of minimizing errors when our voice-controlled devices become a part of highly sensitive interactions: specifically, when accessing critical, private information. Summary: This is a practice-oriented paper highlighting six best practices for avoiding errors when designing voice-enabled systems. Errors in voice systems have been found to require a great deal of user effort to resolve, as well as strongly influence user satisfaction with their voice system. We discuss the technical foundation for voice user interfaces (VUIs) as well as the evolving nature of these systems. The purpose of this paper is to aid and inform upcoming voice design practitioners in the best method for dialog designing.

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