scholarly journals A Study on The Auditory Environment Estimation Through The Voice Input Study

1989 ◽  
Vol 25 (Supplement) ◽  
pp. 51-52
Author(s):  
Rinzou Ebukuro
Keyword(s):  
Voice Input ◽  
The Voice

scholarly journals Realization of speech in design intent of geometric modelling

2017 ◽  
Vol 7 (1.3) ◽  
pp. 121
Author(s):  
Sreeja B P ◽  
Amrutha K G ◽  
Jeni Benedicta J ◽  
Kalaiselvi V ◽  
Ranjani R
Keyword(s):  
Speech Recognition ◽  
Geometric Modeling ◽  
Geometric Modelling ◽  
Design Intent ◽  
Voice Input ◽  
Interactive Mode ◽  
Modeling Software ◽  
Speech Recognition Engine ◽  
The Voice ◽  
Geometric Designs

The conventional interactive mode is especially used for geometric modeling software. This paper describes, a voice-assisted geometric modeling mechanism to improve the performance of modeling, speech recognition technology is used to design this model. This model states that after receiving the voice command, the system uses the speech recognition engine to identify the voice commands, then the voice commands identified are parsed and processed to generate the geometric design based on the users voice input dimensions, The outcome of the system is capable of generating the geometric designs to the user via speech recognition. This work also focuses on receiving the feedback from the users and customized the model based on the feedback.

Testing the Use of Voice Input in a Smartphone Web Survey

2018 ◽  
Vol 38 (2) ◽  
pp. 207-224 ◽  
Author(s):  
Melanie Revilla ◽  
Mick P. Couper ◽  
Oriol J. Bosch ◽  
Marc Asensio
Keyword(s):  
Completion Time ◽  
Control Group ◽  
Web Survey ◽  
Control Groups ◽  
Audio File ◽  
Voice Input ◽  
Text Input ◽  
Standard Text ◽  
The Voice ◽  
Voice Recording

We implemented an experiment within a smartphone web survey to explore the feasibility of using voice input (VI) options. Based on device used, participants were randomly assigned to a treatment or control group. Respondents in the iPhone operating system (iOS) treatment group were asked to use the dictation button, in which the voice was translated automatically into text by the device. Respondents with Android devices were asked to use a VI button which recorded the voice and transmitted the audio file. Both control groups were asked to answer open-ended questions using standard text entry. We found that the use of VI still presents a number of challenges for respondents. Voice recording (Android) led to substantially higher nonresponse, whereas dictation (iOS) led to slightly higher nonresponse, relative to text input. However, completion time was significantly reduced using VI. Among those who provided an answer, when dictation was used, we found fewer valid answers and less information provided, whereas for voice recording, longer and more elaborated answers were obtained. Voice recording (Android) led to significantly lower survey evaluations, but not dictation (iOS).

scholarly journals Design and Fabrication of Voice Controlled Unmanned Aerial Vehicle

2016 ◽  
Vol 5 (3) ◽  
pp. 205
Author(s):  
S. Sakthi Anand ◽  
R. Mathiyazaghan
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Voice Recognition ◽  
Search And Rescue ◽  
Voice Input ◽  
Recognition Process ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
The Voice

<p class="Default">Unmanned Aerial Vehicles have gained well known attention in recent years for a numerous applications such as military, civilian surveillance operations as well as search and rescue missions. The UAVs are not controlled by professional pilots and users have less aviation experience. Therefore it seems to be purposeful to simplify the process of aircraft controlling. The objective is to design, fabricate and implement an unmanned aerial vehicle which is controlled by means of voice recognition. In the proposed system, voice commands are given to the quadcopter to control it autonomously. This system is navigated by the voice input. The control system responds to the voice input by voice recognition process and corresponding algorithms make the motors to run at specified speeds which controls the direction of the quadcopter.</p>

scholarly journals Smart wheelchair using android smartphone for physically disabled people

2018 ◽  
Vol 7 (2) ◽  
pp. 453 ◽  
Author(s):  
Siti Nur Suhaila Mirin ◽  
Khalil Azha Mohd Annuar ◽  
Chai Pui Yook
Keyword(s):  
Embedded System ◽  
Voice Recognition ◽  
Disabled People ◽  
Voice Input ◽  
Left Turn ◽  
Physically Disabled ◽  
The Right ◽  
Physically Disabled People ◽  
The Voice ◽  
Smart Wheelchair

This paper describes the development of a smart wheelchair system with voice recognition and touch controlled using an embedded system. An android application is developed and installed on the android smartphone. The system is divided into two main modes: voice recognition mode and touch mode. For the voice recognition mode, elderlies or physically disabled people (users) can provide the voice input, for example, “go”, “reverse”, “turn to the left”, “turn to the right” and “stop”. The wheelchair will move according to the command given. For the touch mode, the user can select the specified direction displayed within the four quadrants on the screen of the android smartphone to control the wheelchair. An Arduino Uno is used to execute all commands. The MD30C motor driver and HC05 Bluetooth module are used in this system. This system is designed to save time and energy of the user.

scholarly journals Speech controlled home mechanization framework using android gadgets

2017 ◽  
Vol 7 (1.1) ◽  
pp. 655
Author(s):  
Mrs M. Kavitha ◽  
Y Manideep ◽  
M Vamsi Krishna ◽  
P Prabhuram
Keyword(s):  
Mobile Phone ◽  
Light Weight ◽  
Voice Input ◽  
Electrical Devices ◽  
Arduino Uno ◽  
Fan Speed ◽  
User Friendly ◽  
The Voice ◽  
General User

This task displays the development Speech Controlled Home Mechanization Framework Using Android Gadgets of home apparatuses in light-weight of voice order utilizing humanoid. This technique has been meant to help and provides the help to senior and unfit individual’s reception. Recent voice based applications provide acknowledges the voice contribution from the advanced transportable. During this venture, the voice input has been caught by the ports and might be sent to the Arduino Uno. HC 05 module in Arduino Uno got the flag and handled the information flag to manage the two power sockets and fan. The proposed framework expected to manage electrical devices with general user friendly interface and easy transnational. In this project we have a tendency to gift associate humanoid OS based mostly application for smartphone that speaks with the fan through mobile phone persistently to manage the FAN speed. The humanoid stage assumes a key half to holds a most extreme range of users once contrasted with all different stage. We have got exhibited up to twenty meter of vary to manage the house apparatuses by suggests that of Bluetooth.  

scholarly journals Voice Controlled Home Automation

2019 ◽  
pp. 235-240
Author(s):  
P. Kiran Kumar ◽  
G. Joga Rao ◽  
A. Suguna ◽  
K. Bhanu Prakash Kavya G ◽  
P. Venkata Srikar Srihari
Keyword(s):  
Power Supply ◽  
Voice Recognition ◽  
Smart Phone ◽  
Home Automation ◽  
Disabled People ◽  
Voice Input ◽  
Voice Command ◽  
Home Appliances ◽  
The Voice ◽  
At Home

The work is mainly concentrated on the implementation of Voice Controlled Home Automation. It is all about the development of home appliances based on the voice command using Android. The system is used to support elderly and disabled people at home. Google application is used as voice recognition and process the voice input from the smart phone. The voice activated home automation is implemented using NodeMCU, relays, pcb connectors, diodes and power supply. The voice input is captured by the android and the NodeMCU receives the signal to control the light, fan, bulb

scholarly journals A Bio-Crypto Protocol for Password Protection Using ECC

2015 ◽  
Vol 4 (1) ◽  
pp. 67-72
Author(s):  
Srinivasan Nagaraj ◽  
G.V.S.P. Raju ◽  
G Apparao ◽  
B. Kishore
Keyword(s):  
Low Cost ◽  
Brute Force ◽  
Public And Private ◽  
Voice Input ◽  
Cryptographic Keys ◽  
Password Protection ◽  
Brute Force Attack ◽  
High Level ◽  
Voice Biometrics ◽  
The Voice

In  information  security the  following security parameters like, integrity , non repudiation and confidentiality , authentication   must be satisfied.  To avoid thievery of organization resources  it needs be secured in more efficient way  and there is always demand  for different levels of security attacks include virus , brute force and Eveadroper  in business that  organizations make use of voice biometrics an attractive low-cost. Voice biometrics is the  cheapest  among the  other biometrics and used all levels for management to buy readily available metric and it is the way of  identifying individuals remotely  with high level of accuracy . In this work, we have been designed a  new  password- authentication approach  that provides security  using voice biometrics for authentication and uses the device  itself into an authenticator which uses  voice itself as its passwords and we are primarily interested in keys that can be temporally reproduced on the same device from the same user’s voice. Public and private keys are generated  randomly from the user's voice  and stored in the voice file(.wav).This Method uses voice recognition , include the operation of  register( recording feature ) or voice prints  and  storing of one or more voice passwords into the  database. It uses ECDSA to perform the authentication process that matching the  voice sample  with the database. The recognition, entity makes the database  to decide that  the sample is matched to perform an operation or not. Our proposed approach  generates cryptographic keys from voice input itself and this algorithm developed an adhoc basis. It can effectively defend  attacks specially brute force attack in system networks.

An Evaluation of the Strengths, Weaknesses and Uses of Voice Input Devices

1980 ◽  
Vol 24 (1) ◽  
pp. 190-194 ◽  
Author(s):  
David J. Cochran ◽  
Michael W. Riley ◽  
Laura A. Stewart
Keyword(s):  
Data Entry ◽  
Input Device ◽  
Voice Input ◽  
Input Devices ◽  
Entry Time ◽  
Data Entry System ◽  
Task Time ◽  
Voice Data ◽  
The Voice

This paper examines the function of systems which are now available for voice input into computer memory. Strengths of present systems are discussed along with their weaknesses. Situations in which a voice data entry system is appropriate are explored as well as those system requirements which make voice input device systems feasible. One voice input device is tested in an industrial situation. The system is compared to two other methods of data entry on the basis of data entry time, total task time, and on error rate. The voice system shows longer entry time when compared with standard keyboarding but with higher accuracy. When the voice system is allowed to function to its potential by eliminating intermediate steps in the process, it is more efficient and more accurate. Tests conducted have shown that the maximum number of entries per minute over a very short duration (10 sec.) was about fifty-five. In an eight-minute sustained test, rates of about forty entries per minute were possible, but in long-term, the rate dropped to about 26 entries per minute. With proper coding and use on tasks where some components can be shortened or eliminated, the voice can be better than the keyboard.

scholarly journals Speech Recognition Using MFCC and VQLBG

2015 ◽  
Vol 4 (4) ◽  
pp. 151
Author(s):  
M. Suman ◽  
K. Harish ◽  
K. Manoj Kumar ◽  
S. Samrajyam
Keyword(s):  
Feature Extraction ◽  
Speaker Recognition ◽  
Feature Matching ◽  
Biometric Recognition ◽  
Mel Frequency Cepstral Coefficients ◽  
Voice Input ◽  
Voice Signal ◽  
Area Unit ◽  
The Voice ◽  
Algorithmic Rule

<p>Speaker  Recognition  is  the  computing  task  of confirmatory a user’s claimed  identity mistreatment characteristics extracted  from  their  voices.  This  technique  is  one  of  the  most helpful  and in style  biometric  recognition  techniques  in  the  world particularly connected  to  areas  in that security could be a major concern. It are often used for authentication, police work, rhetorical speaker recognition and variety of connected activities. The method of Speaker recognition consists of two modules particularly feature extraction and have matching. Feature extraction is that the method during which we have a tendency to extract a tiny low quantity of knowledge from  the  voice  signal  that will  later  be  used  to  represent every  speaker.    Feature  matching involves  identification  of  the  unknown  speaker  by scrutiny  the  extracted options  from his/her voice input with those from a collection of identified speakers. Our projected  work  consists  of  truncating  a  recorded  voice  signal,  framing  it,  passing  it through  a  window perform, conniving  the  Short  Term  FFT,  extracting  its options  and Matching it with a hold on guide.  Cepstral constant  Calculation  and  Mel  frequency Cepstral  Coefficients  (MFCC) area unit  applied  for  feature  extraction  purpose.VQLBG (Vector Quantization via Linde-Buzo-Gray) algorithmic rule is used for generating guide and feature matching purpose.</p>

Implementation of Voice Input to Computer Applications

1986 ◽  
Vol 1 (4) ◽  
pp. 39-56
Author(s):  
P.E.J. Clark
Keyword(s):  
Computer Applications ◽  
Decision Makers ◽  
Representative Survey ◽  
Voice Input ◽  
Future Developments ◽  
Widespread Implementation ◽  
Effective Decision ◽  
The Voice

A brief outline of voice input facilities leads to a working glossary and a summary of indications and contra indications for voice input solutions. A representative survey of equipment and applications is followed by an examination of what is needed to hasten widespread implementation of voice input systems. Criticism of the communication between the voice input industry and the effective decision makers precedes some suggestions as to how the situation could be improved. Emphasis is placed on the importance of getting experience with existing facilities so that future developments in hardware capabilities will have a successful reception. The report is intended to be useful to IT practitioners interested in voice input applications and developments, as well as the industry. Comments, improvements and criticisms are invited, expected and eagerly anticipated.

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