Voice basec email system for blinds

1: Project Objectives: The main advantage of this system is that use of keyboard is   completely eliminated the user will have to respond through voice only.

2: Interactive Voice Response (IVR): Interactive voice response (IVR) is a technology that allows a computer to interact with humans through the use of voice and DTMF tones input via a keypad.

3 Speech Recognition Speech recognition is the inter-disciplinary sub-field of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers.

The main feature of this whole system will be the facilitate the blind and special person as much as possible so they can compete real world and use the technology as per their specialty.  They don’t need to use keyboard as all of the work will be at their own voice and if they have to use keyboard, their will be minnow use.

Every instance of Recognizer class has seven methods for recognizing speech from speaker source using various APIs:

recognize_bing (): Used in “Microsoft Bing Speech”

recognize_google(): Used in “Google Web Speech API”

recognize_google_cloud(): Used in “ Google Cloud Speech”-requires installation of the google-cloud-speech package

recognize_houndify(): Used in “Houndify by Sound Hound”

recognize_ibm(): Used in “IBM Speech to Text”

recognize_sphinx(): Used in CMU Sphinx-requires installing Pocket Sphinx

recognize_wit(): Used in “Wit.ai”

  Primary Techniques

Primary data were collected by means of systematically prepared for to get information about drugs  and   add  some  counseling  techniques  for  drug  addict  people.

Secondary Techniques Document Analysis

This technique gives us the information on how the existing system works.

These for documents related to the existing system of the organization will be evaluated.

System Analysis and Design Techniques

In this project, we will use Object Oriented System development methodology (OOSD) for design.

This technique has several phases some of them are:

Object Oriented Analysis (OOA)

We  will  use  this   phase  to   model   the  function  of  system  and  identifying  the  relation between them.

Object Oriented Design (OOD)

In this phase, we will use the software to clarify the model of our project.

Tools Software:

1. Android Studio & Visual Code
2. MySQL / MySQL
3. Windows / Linux

Hardware Requirements for Software Development

1. Computer  System  with  minimum 4GB RAM, Intel  core, 1.7 GHz
2. Processor, 64 bit  operating  system.
3. Smart phone that run Android System

References

1. Jagtap Nilesh, Pawan Alai, Chavhan Swapnil and Bendre M.R. “Voice Based System in Desktop and Mobile Devices for Blind People”. In International Journal of Emerging Technology and Advanced Engineering (IJETAE), 2014 on Pages 404-407 (Volume 4, issue 2)
2. Ummu anysifa U.Nizar Banu P K , “Voice Based Search Engine and Web page Reader”. In International Journal of Computational Engineering Research (IJCER). Pages 1-5
3. G. Shoba, G. Anusha, V. Jeevitha, R. Shan mathi. “AN Interactive Email for Visually Impaired”. In International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), 2014 on Pages 5089-5092.
4. The Radicati website. [Online]. Available: http://www.radicati.com/wp/wp-content/uploads/2014/01/EmailStatistics-Report-2014-2018-Executive-Summary.pdf.

This project is proposed for the betterment of society. This project aims to help the visually impaired people to be a part of growing digital India by using internet and also aims to make life of such people quite easy. Also, the success of this project will also encourage developers to build something more useful for visually impaired or illiterate people, who also deserves an equal standard in society.

Awareness and Information

This will include information about the following.

1. Specialty Information.
2. Easy Usage.
3. Equality in terms of technology.
4. New inventions to compensate.

Every instance of Recognizer class has seven methods for recognizing speech from speaker source using various APIs:

recognize_bing (): Used in “Microsoft Bing Speech”

recognize_google(): Used in “Google Web Speech API”

recognize_google_cloud(): Used in “ Google Cloud Speech”-requires installation of the google-cloud-speech package

recognize_houndify(): Used in “Houndify by Sound Hound”

recognize_ibm(): Used in “IBM Speech to Text”

recognize_sphinx(): Used in CMU Sphinx-requires installing Pocket Sphinx

recognize_wit(): Used in “Wit.ai”

  Primary Techniques

Primary data were collected by means of systematically prepared for to get information about drugs  and   add  some  counseling  techniques  for  drug  addict  people.

Secondary Techniques Document Analysis

This technique gives us the information on how the existing system works.

These for documents related to the existing system of the organization will be evaluated.

System Analysis and Design Techniques

In this project, we will use Object Oriented System development methodology (OOSD) for design.

This technique has several phases some of them are:

Object Oriented Analysis (OOA)

We  will  use  this   phase  to   model   the  function  of  system  and  identifying  the  relation between them.

Object Oriented Design (OOD)

In this phase, we will use the software to clarify the model of our project.

Tools Software:

1. Android Studio & Visual Code
2. MySQL / MySQL
3. Windows / Linux

Hardware Requirements for Software Development

1. Computer  System  with  minimum 4GB RAM, Intel  core, 1.7 GHz
2. Processor, 64 bit  operating  system.
3. Smart phone that run Android System

References

1. Jagtap Nilesh, Pawan Alai, Chavhan Swapnil and Bendre M.R. “Voice Based System in Desktop and Mobile Devices for Blind People”. In International Journal of Emerging Technology and Advanced Engineering (IJETAE), 2014 on Pages 404-407 (Volume 4, issue 2)
2. Ummu anysifa U.Nizar Banu P K , “Voice Based Search Engine and Web page Reader”. In International Journal of Computational Engineering Research (IJCER). Pages 1-5
3. G. Shoba, G. Anusha, V. Jeevitha, R. Shan mathi. “AN Interactive Email for Visually Impaired”. In International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), 2014 on Pages 5089-5092.
4. The Radicati website. [Online]. Available: http://www.radicati.com/wp/wp-content/uploads/2014/01/EmailStatistics-Report-2014-2018-Executive-Summary.pdf.