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Make necessary assumptions with justifications about the business and Particulate to incorporate “Voice Recognition” technologies;

Provide a summary of expanding your ICT unit to incorporate “Voice Recognition” technologies;

Provide an initial estimated cost & resource structure with appropriate justifications (using project management software) to meet the organizational needs within the scope to incorporate “Voice Recognition” technologies {cost structure; one page for resource structure; and one page for justification.

Provide a complete project plan (PERT & GANTT Chart), with brief interpretations for non-technical board members;

Project Plan

The project is developed for a major tourist attraction on Australian Highway and the project is to implement Voice Recognition Technology in the same. There are several franchises of the business and the one for which the project is being carried out is a private business that attracts local and international customers from all age groups. There are over 200,000 families that visit the tourist spot annually. The core systems of the tourist spot are in accordance with the latest technology. The Voice Recognition system needs to be integrated in the core system. There is a wireless system implemented in the architecture; however, the system may not be sufficient enough to take higher loads that the business may experience. There are over 1000 employees that may access the system from remote locations.

  • The resources required for maintenance of the system post-implementation and the necessary skill set will be available with the organization.
  • The technical infrastructure for implementation will require minute enhancements as the core systems are in accordance with the latest technology.
  • The security architecture and the policies are in accordance with the Australian standards (Lundy, 2011).
  • The end-users will not be resistant towards accepting the voice recognition technology and system in the architecture.

The tourist spot attracts over 200,000 families annually and it would not be possible to assign them with the guides that may explain them about the details of the tourist attraction. Also, there are over 1000 employees associated with the organization. The implementation of voice recognition technology will ensure that the identity management of the resources is done and the details of the tourists can also be saved. The virtual tour of the tourist spot will be made possible as per the voice recognition of the number pronounced by the tourist (Kim et al., 2005). The overall experience for the employees and for the tourists will improve as an outcome.

The proposed model for the Voice Recognition system has been illustrated in the image above. The ICT unit of the tourist attraction does have wireless infrastructure. However, it may not perform adequately with the enhancement in the number of users. The enhancement of the wireless network bandwidth will be needed along with the incorporation of Gigabit router. There are several vendors that may be contracted for the router. CISCO is one such vendor that may provide with the necessary enhancement in the wireless interface and the networking peripherals.

Additionally, database server and application server will be required for the voice recognition technology to be incorporated. A web interface will be needed to allow the end-users to make use of the system. The development tools as Microsoft Visual Studio and design tools as Microsoft Visio and Sketch will be needed. The project will be required to be adequately managed. For this purpose, project management tools, such as Microsoft Project will be necessary.

Assumptions

All of the computer systems and software packages implemented in the tourist attraction will be required to be upgraded with a SoundBlaster 16 or a higher sound card. The recommendation is to make use of a PCI card. Microphones will also be needed to capture the voice samples of the end-users (Yi, 2013).

WBS

Task Name

Duration

Cost

1

Voice Recognition Technology

162 days

$229, 160.00

1.1

   Initiation & Planning Phase

17 days

$20, 680.00

1.1.1

      Analysis of the current ICT infrastructure

3 days

$5, 640.00

1.1.2

      Definition of aims,  objectives,  scope

2 days

$1, 920.00

1.1.3

      Procurement planning and procurement of tools

8 days

$7, 360.00

1.1.4

      Estimations and resource planning

3 days

$2, 880.00

1.1.5

      Planning of project areas - quality,  communication,  risks,  stakeholders

3 days

$2, 880.00

1.1.6

      Milestone 1: Project Plan

0 days

$0.00

1.2

   Modeling & Algorithms

44 days

$59, 840.00

1.2.1

      Speech Signal Capture & Endpointing

6 days

$5, 280.00

1.2.2

      Feature Extraction,  Template Matching Algorithm

6 days

$5, 280.00

1.2.3

      Hidden Markov Model

6 days

$10, 560.00

1.2.4

      Isolated,  continuous,  small,  and large vocabulary voice recognition considerations

6 days

$10, 560.00

1.2.5

      Pronunciation & Language Modeling

8 days

$14, 080.00

1.2.6

      Obtaining multiple results

8 days

$14, 080.00

1.2.7

      Milestone 2: Modeling & Algorithms

0 days

$0.00

1.3

   Recognition & Execution

55 days

$57, 680.00

1.3.1

      Determination of correctness in the recognition results

10 days

$9, 200.00

1.3.2

      Accuracy and efficiency considerations

8 days

$7, 360.00

1.3.3

      Training on various models

8 days

$14, 080.00

1.3.4

      Development of a front end web application for the users

10 days

$8, 000.00

1.3.5

      Syncing with application and database server

7 days

$10, 640.00

1.3.6

      Network analysis and infrastructure

6 days

$8, 400.00

1.3.7

      Milestone 3: Front-end application

0 days

$0.00

1.4

   Implementation & Control

31 days

$79, 760.00

1.4.1

      Implementation on the servers

10 days

$23, 600.00

1.4.2

      Web browser clients

8 days

$19, 200.00

1.4.3

      Reviews and testing processes

7 days

$11, 760.00

1.4.4

      Management of the changes

6 days

$25, 200.00

1.4.5

      Milestone 4: Implementation Results

0 days

$0.00

1.5

   Closure

19 days

$11, 200.00

1.5.1

      User Acceptance Testing

6 days

$0.00

1.5.2

      Performance Measurement

3 days

$2, 880.00

1.5.3

      Recording of the feedback and its analysis

4 days

$3, 840.00

1.5.4

      Documentation of the project activities

6 days

$3, 840.00

1.5.5

      Submission of final report

1 day

$640.00

1.5.6

      Milestone 5: Final Report

0 days

$0.00

Estimated Resource Structure 

WBS

Task Name

Duration

Resource Names

1

Voice Recognition Technology

162 days

1.1

   Initiation & Planning Phase

17 days

1.1.1

      Analysis of the current ICT infrastructure

3 days

Project Manager, Data Scientist

1.1.2

      Definition of aims,  objectives,  scope

2 days

Project Manager

1.1.3

      Procurement planning and procurement of tools

8 days

Project Manager, Computer Vision Engineer 1

1.1.4

      Estimations and resource planning

3 days

Project Manager

1.1.5

      Planning of project areas - quality,  communication,  risks,  stakeholders

3 days

Project Manager

1.1.6

      Milestone 1: Project Plan

0 days

1.2

   Modeling & Algorithms

44 days

1.2.1

      Speech Signal Capture & Endpointing

6 days

Computer Vision Engineer 1

1.2.2

      Feature Extraction,  Template Matching Algorithm

6 days

Computer Vision Engineer 2

1.2.3

      Hidden Markov Model

6 days

Computer Vision Engineer 1, Computer Vision Engineer 2

1.2.4

      Isolated,  continuous,  small,  and large vocabulary voice recognition considerations

6 days

Computer Vision Engineer 1, Computer Vision Engineer 2

1.2.5

      Pronunciation & Language Modeling

8 days

Computer Vision Engineer 2, Computer Vision Engineer 1

1.2.6

      Obtaining multiple results

8 days

Computer Vision Engineer 1, Computer Vision Engineer 2

1.2.7

      Milestone 2: Modeling & Algorithms

0 days

1.3

   Recognition & Execution

55 days

1.3.1

      Determination of correctness in the recognition results

10 days

Data Scientist

1.3.2

      Accuracy and efficiency considerations

8 days

Data Scientist

1.3.3

      Training on various models

8 days

Computer Vision Engineer 1, Computer Vision Engineer 2

1.3.4

      Development of a front end web application for the users

10 days

Web Developer

1.3.5

      Syncing with application and database server

7 days

Database Expert , Technical Analyst

1.3.6

      Network analysis and infrastructure

6 days

Network Specialist, Technical Analyst

1.3.7

      Milestone 3: Front-end application

0 days

1.4

   Implementation & Control

31 days

1.4.1

      Implementation on the servers

10 days

Data Scientist , Web Developer, Network Specialist

1.4.2

      Web browser clients

8 days

Computer Vision Engineer 1, Computer Vision Engineer 2, Network Specialist

1.4.3

      Reviews and testing processes

7 days

Data Scientist , Technical Analyst

1.4.4

      Management of the changes

6 days

Computer Vision Engineer 1, Computer Vision Engineer 2, Data Scientist , Database Expert , Technical Analyst

1.4.5

      Milestone 4: Implementation Results

0 days

1.5

   Closure

19 days

1.5.1

      User Acceptance Testing

6 days

End-Users

1.5.2

      Performance Measurement

3 days

Project Manager

1.5.3

      Recording of the feedback and its analysis

4 days

Project Manager

1.5.4

      Documentation of the project activities

6 days

Technical Writer

1.5.5

      Submission of final report

1 day

Technical Writer

1.5.6

      Milestone 5: Final Report

0 days

Timesheet and Milestones

WBS

Task Name

Duration

Start

Finish

Predecessors

1

Voice Recognition Technology

162 days

Mon 08-10-18

Mon 20-05-19

1.1

   Initiation & Planning Phase

17 days

Mon 08-10-18

Tue 30-10-18

1.1.1

      Analysis of the current ICT infrastructure

3 days

Mon 08-10-18

Wed 10-10-18

1.1.2

      Definition of aims,  objectives,  scope

2 days

Mon 15-10-18

Tue 16-10-18

3

1.1.3

      Procurement planning and procurement of tools

8 days

Wed 17-10-18

Tue 30-10-18

4

1.1.4

      Estimations and resource planning

3 days

Wed 17-10-18

Fri 19-10-18

4

1.1.5

      Planning of project areas - quality,  communication,  risks,  stakeholders

3 days

Mon 22-10-18

Wed 24-10-18

6

1.1.6

      Milestone 1: Project Plan

0 days

Wed 24-10-18

Wed 24-10-18

7

1.2

   Modeling & Algorithms

44 days

Thu 25-10-18

Mon 24-12-18

1.2.1

      Speech Signal Capture & Endpointing

6 days

Thu 25-10-18

Thu 01-11-18

8

1.2.2

      Feature Extraction,  Template Matching Algorithm

6 days

Mon 12-11-18

Mon 19-11-18

10

1.2.3

      Hidden Markov Model

6 days

Fri 02-11-18

Fri 09-11-18

10

1.2.4

      Isolated,  continuous,  small,  and large vocabulary voice recognition considerations

6 days

Mon 26-11-18

Mon 03-12-18

11

1.2.5

      Pronunciation & Language Modeling

8 days

Tue 04-12-18

Wed 12-12-18

13

1.2.6

      Obtaining multiple results

8 days

Thu 13-12-18

Mon 24-12-18

14

1.2.7

      Milestone 2: Modeling & Algorithms

0 days

Mon 24-12-18

Mon 24-12-18

15

1.3

   Recognition & Execution

55 days

Tue 25-12-18

Mon 11-03-19

1.3.1

      Determination of correctness in the recognition results

10 days

Tue 25-12-18

Mon 07-01-19

16

1.3.2

      Accuracy and efficiency considerations

8 days

Tue 08-01-19

Thu 17-01-19

18

1.3.3

      Training on various models

8 days

Tue 22-01-19

Thu 31-01-19

19

1.3.4

      Development of a front end web application for the users

10 days

Fri 01-02-19

Thu 14-02-19

20

1.3.5

      Syncing with application and database server

7 days

Fri 15-02-19

Mon 25-02-19

21

1.3.6

      Network analysis and infrastructure

6 days

Mon 04-03-19

Mon 11-03-19

22

1.3.7

      Milestone 3: Front-end application

0 days

Mon 11-03-19

Mon 11-03-19

23

1.4

   Implementation & Control

31 days

Tue 12-03-19

Tue 23-04-19

1.4.1

      Implementation on the servers

10 days

Tue 12-03-19

Mon 25-03-19

24

1.4.2

      Web browser clients

8 days

Tue 26-03-19

Thu 04-04-19

26

1.4.3

      Reviews and testing processes

7 days

Fri 05-04-19

Mon 15-04-19

27

1.4.4

      Management of the changes

6 days

Tue 16-04-19

Tue 23-04-19

28

1.4.5

      Milestone 4: Implementation Results

0 days

Tue 23-04-19

Tue 23-04-19

29

1.5

   Closure

19 days

Wed 24-04-19

Mon 20-05-19

1.5.1

      User Acceptance Testing

6 days

Wed 24-04-19

Wed 01-05-19

30

1.5.2

      Performance Measurement

3 days

Wed 08-05-19

Fri 10-05-19

32

1.5.3

      Recording of the feedback and its analysis

4 days

Thu 02-05-19

Tue 07-05-19

32

1.5.4

      Documentation of the project activities

6 days

Mon 13-05-19

Mon 20-05-19

33

1.5.5

      Submission of final report

1 day

Wed 08-05-19

Wed 08-05-19

34

1.5.6

      Milestone 5: Final Report

0 days

Mon 20-05-19

Mon 20-05-19

35

The resource and cost structures are justified as these have been estimated and determined using the bottom-up approach and the probable risks are also considered.

The hourly distribution of the project activities and resources is included in the table below followed by the PERT chart and Gantt chart for the project.

Task Name

Work

Voice Recognition Technology

2,224 hrs

   Initiation & Planning Phase

176 hrs

      Analysis of the current ICT infrastructure

48 hrs

         Project Manager

24 hrs

         Data Scientist

24 hrs

      Definition of aims, objectives, scope

16 hrs

         Project Manager

16 hrs

      Procurement planning and procurement of tools

64 hrs

         Project Manager

32 hrs

         Computer Vision Engineer 1

32 hrs

      Estimations and resource planning

24 hrs

         Project Manager

24 hrs

      Planning of project areas - quality, communication, risks, stakeholders

24 hrs

         Project Manager

24 hrs

      Milestone 1: Project Plan

0 hrs

   Modeling & Algorithms

544 hrs

      Speech Signal Capture & Endpointing

48 hrs

         Computer Vision Engineer 1

48 hrs

      Feature Extraction, Template Matching Algorithm

48 hrs

         Computer Vision Engineer 2

48 hrs

      Hidden Markov Model

96 hrs

         Computer Vision Engineer 1

48 hrs

         Computer Vision Engineer 2

48 hrs

      Isolated, continuous, small, and large vocabulary voice recognition considerations

96 hrs

         Computer Vision Engineer 1

48 hrs

         Computer Vision Engineer 2

48 hrs

      Pronunciation & Language Modeling

128 hrs

         Computer Vision Engineer 1

64 hrs

         Computer Vision Engineer 2

64 hrs

      Obtaining multiple results

128 hrs

         Computer Vision Engineer 1

64 hrs

         Computer Vision Engineer 2

64 hrs

      Milestone 2: Modeling & Algorithms

0 hrs

   Recognition & Execution

560 hrs

      Determination of correctness in the recognition results

80 hrs

         Data Scientist

80 hrs

      Accuracy and efficiency considerations

64 hrs

         Data Scientist

64 hrs

      Training on various models

128 hrs

         Computer Vision Engineer 1

64 hrs

         Computer Vision Engineer 2

64 hrs

      Development of a front end web application for the users

80 hrs

         Web Developer

80 hrs

      Syncing with application and database server

112 hrs

         Database Expert

56 hrs

         Technical Analyst

56 hrs

      Network analysis and infrastructure

96 hrs

         Network Specialist

48 hrs

         Technical Analyst

48 hrs

      Milestone 3: Front-end application

0 hrs

   Implementation & Control

784 hrs

      Implementation on the servers

240 hrs

         Data Scientist

80 hrs

         Web Developer

80 hrs

         Network Specialist

80 hrs

      Web browser clients

192 hrs

         Computer Vision Engineer 1

64 hrs

         Computer Vision Engineer 2

64 hrs

         Network Specialist

64 hrs

      Reviews and testing processes

112 hrs

         Data Scientist

56 hrs

         Technical Analyst

56 hrs

      Management of the changes

240 hrs

         Computer Vision Engineer 1

48 hrs

         Computer Vision Engineer 2

48 hrs

         Data Scientist

48 hrs

         Database Expert

48 hrs

         Technical Analyst

48 hrs

      Milestone 4: Implementation Results

0 hrs

   Closure

160 hrs

      User Acceptance Testing

48 hrs

         End-Users

48 hrs

      Performance Measurement

24 hrs

         Project Manager

24 hrs

      Recording of the feedback and its analysis

32 hrs

         Project Manager

32 hrs

      Documentation of the project activities

48 hrs

         Technical Writer

48 hrs

      Submission of final report

8 hrs

         Technical Writer

8 hrs

      Milestone 5: Final Report

0 hrs

Voice recognition is a concept that recognizes the voice samples of the users and analyses them using language and pronunciation model along with the concepts of machine learning to automate the response of the machine. Pattern recognition and machine learning technologies are involved in the implementation and incorporation of such algorithms. There will be various voice & speech recognitions models and algorithms integrated to make sure that the technology is successfully implemented in the tourist attraction. These will include Speech Signal Capture & Endpointing, Feature Extraction, Template Matching Algorithm, Hidden Markov Mode, Isolated, continuous, small, and large vocabulary voice recognition considerations, Pronunciation & Language Modeling, and obtaining multiple results. There will be certain changes made to the existing ICT units with the procurements and enhancements of networking peripherals, wireless interface, and software packages (Wang, Huang and Yuan, 2011). The enhancement of the wireless network bandwidth will be needed along with the incorporation of Gigabit router. Additionally, database server and application server will be required for the voice recognition technology to be incorporated. A web interface will be needed to allow the end-users to make use of the system. The development tools as Microsoft Visual Studio and design tools as Microsoft Visio and Sketch will be needed. The project will be required to be adequately managed. For this purpose, project management tools, such as Microsoft Project will be necessary (Kim et al., 2004). All of the computer systems and software packages implemented in the tourist attraction will be required to be upgraded with a SoundBlaster 16 or a higher sound card. The recommendation is to make use of a PCI card.

The costs of the projects have been cascaded as per the category of the costs. The internal rate of return that is calculated for the project is 14%.

Fiscal Year

 

Program Element

0

1

2

3

4

5

6

7

8

9

 

Cost of Voice Recognition Tools

$19,460

 

Modeling and Analysis Costs

$8,900

$8,900

$8,900

$8,900

$8,900

$8,900

$8,900

$8,900

$8,900

 

Cost of Resources

$5,670

$5,670

$5,670

$5,670

$5,670

$5,670

$5,670

$5,670

$5,670

 

Implementation Costs

$3,800

$3,800

$3,800

$3,800

$3,800

$3,800

$3,800

$3,800

$3,800

 

Post-Implementation Costs

$2,150

$2,150

$2,150

$2,150

$2,150

$2,150

$2,150

$2,150

$2,150

 

Management Costs

$2,780

$2,780

$2,780

$2,780

$2,780

$2,780

$2,780

$2,780

$2,780

 

Program Total Costs By Year

$19,460

$23,300

$23,300

$23,300

$23,300

$23,300

$23,300

$23,300

$23,300

$23,300

 

Program Grand Total Cost

$2,29,160

Justification

The resulting benefits of the project are as shown below.

Fiscal Year

Benefit Sources

0

1

2

3

4

5

6

7

8

9

Increase in the number of tourists visiting annually

$15,670

$15,670

$15,670

$15,670

$15,670

$15,670

$15,670

$15,670

$15,670

$15,670

Identity Management & Automation

$9,990

$9,990

$9,990

$9,990

$9,990

$9,990

$9,990

$9,990

$9,990

$9,990

Tangible Benefits

$11,320

$11,320

$11,320

$11,320

$11,320

$11,320

$11,320

$11,320

$11,320

$11,320

Intangible Benefits

$10,660

$10,660

$10,660

$10,660

$10,660

$10,660

$10,660

$10,660

$10,660

$10,660

Total Benefits Per Year

$47,640

$47,640

$47,640

$47,640

$47,640

$47,640

$47,640

$47,640

$47,640

$47,640

Confidence Factor

38%

44%

50%

56%

62%

70%

78%

80%

82%

Benefits Claimed for Analysis

$0

$18,103

$20,962

$23,820

$26,678

$29,537

$33,348

$37,159

$38,112

$39,065

Program Grand Total Benefit

$2,66,784

The cost-benefit analysis is as shown below with 8% discount factor applied.

Fiscal Year

0

1

2

3

4

5

6

7

8

9

Undiscounted Flows

Costs

-$19,460

-$23,300

-$23,300

-$23,300

-$23,300

-$23,300

-$23,300

-$23,300

-$23,300

-$23,300

Benefits

$0

$18,103

$20,962

$23,820

$26,678

$29,537

$33,348

$37,159

$38,112

$39,065

Net Cash Flow

-$19,460

-$5,197

-$2,338

$520

$3,378

$6,237

$10,048

$13,859

$14,812

$15,765

Discount Factors

Discount Rate

8.0%

Base Year

0

Year Index

0

1

2

3

4

5

6

7

8

9

Discount Factor

1.0000

0.9259

0.8573

0.7938

0.7350

0.6806

0.6302

0.5835

0.5403

0.5002

Discounted Flows

Costs

-$19,460

-$21,574

-$19,976

-$18,496

-$17,126

-$15,858

-$14,683

-$13,595

-$12,588

-$11,656

Benefits

$0

$16,762

$17,971

$18,909

$19,609

$20,102

$21,015

$21,682

$20,591

$19,542

Net

-$19,460

-$4,812

-$2,005

$413

$2,483

$4,245

$6,332

$8,087

$8,002

$7,886

Cumulative

-$19,460

-$24,272

-$26,277

-$25,864

-$23,381

-$19,136

-$12,804

-$4,717

$3,285

$11,171

Net Present Value

$11,171

Internal Rate of Return

14%

It is recommended that project that is carried out is managed with the approach as a combination of agile and Project Management Body of Knowledge (PMBoK) methodologies. There will be various risks and implementation issues that may come up in the process that will be avoided as a result.

The PMBoK management approach shall focus upon the initiation, planning, and closure phases. The initiation and planning activities shall include Analysis of the current ICT infrastructure, Definition of aims, objectives, scope, Procurement planning and procurement of tools, Estimations and resource planning, and Planning of project areas - quality, communication, risks, stakeholders. The use of PMBoK methodology will provide the management with the guidelines on managing each of these areas effectively (Zwikael, 2009).

The modelling, analysis, execution, and implementation phases shall be managed using the agile methodology for project management. These will include Speech Signal Capture & Endpointing, Feature Extraction, Template Matching Algorithm, Hidden Markov Mode, Isolated, continuous, small, and large vocabulary voice recognition considerations, Pronunciation & Language Modeling, and obtaining multiple results. There will be certain changes made to the existing ICT units with the procurements and enhancements of networking peripherals, wireless interface, and software packages (Juricek, 2014). The execution and implementation processes will cover Determination of correctness in the recognition results, Accuracy and efficiency considerations, Training on various models, Development of a front end web application for the users, Syncing with application and database server, and Network analysis and infrastructure. Implementation tasks will include implementation on the servers, Web browser clients, Reviews and testing processes, and Management of the changes. The use of the agile methodology will make sure that these processes are flexible and scalable in nature (Indelicato, 2016).

There shall be use of meetings and active communication during the entire project timeline to avoid any issues and conflicts during the project timeline.

WBS

Task Name

Duration

Start

Finish

Predecessors

Resource Names

Cost

1.4

Implementation & Control

31 days

Tue 12-03-19

Tue 23-04-19

$79,760.00

1.4.1

   Implementation on the servers

10 days

Tue 12-03-19

Mon 25-03-19

24

Data Scientist ,Web Developer, Network Specialist

$23,600.00

1.4.2

   Web browser clients

8 days

Tue 26-03-19

Thu 04-04-19

26

Computer Vision Engineer 1,Computer Vision Engineer 2,Network Specialist

$19,200.00

1.4.3

   Reviews and testing processes

7 days

Fri 05-04-19

Mon 15-04-19

27

Data Scientist ,Technical Analyst

$11,760.00

1.4.4

   Management of the changes

6 days

Tue 16-04-19

Tue 23-04-19

28

Computer Vision Engineer 1,Computer Vision Engineer 2,Data Scientist ,Database Expert ,Technical Analyst

$25,200.00

1.4.5

   Milestone 4: Implementation Results

0 days

Tue 23-04-19

Tue 23-04-19

29

$0.00

The post-implementation plan of the project shall focus upon the maintenance cycles, support activities, feedback and improvement activities.

There may be risks to security architecture with the passage of time. A regular security and vulnerability assessment shall be done as a part of post-implementation project activities. The management of security incidents shall be done with system updates and installation of the patches. Incident record and response system shall also be implemented to handle the user issues. The customer support activities shall be carried out so that the customer queries are resolved. There will be feedback process integrated with the voice recognition system. The feedback process shall be integrated with the improvement activities which shall be analysed by the quality assurance team. The changes shall be made to the project accordingly (Kobylanska, 2017).

Expansion of ICT Units

The post-implementation project activities shall be managed by the use of management methodologies as agile methodology for project management and PMBoK methodology.

Recommendations & Conclusion 

The Voice Recognition Technology that is being incorporated in the tourist attraction of Australia shall be managed and maintained using PMBoK and agile methodologies. It is recommended that quality assurance and quality control activities, such as reviews, inspections, functional testing, security testing, performance testing, and regression testing are carried out on the system throughout the lifecycle of the project.

Voice recognition is a concept that recognizes the voice samples of the users and analyses them using language and pronunciation model along with the concepts of machine learning to automate the response of the machine. Pattern recognition and machine learning technologies are involved in the implementation and incorporation of such algorithms. There shall be various voice & speech recognitions models and algorithms integrated to make sure that the technology is successfully implemented in the tourist attraction. The enhancement of the wireless network bandwidth will be needed along with the incorporation of Gigabit router. There are several vendors that may be contracted for the router. CISCO is one such vendor that may provide with the necessary enhancement in the wireless interface and the networking peripherals. All of the computer systems and software packages implemented in the tourist attraction will be required to be upgraded with a SoundBlaster 16 or a higher sound card. The recommendation is to make use of a PCI card. Microphones will also be needed to capture the voice samples of the end-users.

References

Indelicato, G. (2016). Agile for Project Managers. Project Management Journal, 47(1), pp.e4-e4.

Juricek, J. (2014). Agile Project Management Principles. Lecture Notes on Software Engineering, pp.172-175.

Kim, J., Kang, S., Ryu, H. and Lee, S. (2004). A Study on Design and Implementation of Embedded System for speech Recognition Process. Journal of Korean Institute of Intelligent Systems, 14(2), pp.201-206.

Kim, L., Kang, S., Ryu, H., Jang, W., Lee, S. and Pandya, A. (2005). Design and Implementation of Artificial Intelligent Motorized Wheelchair System using Speech Recognition and Joystick. Control and Intelligent Systems, 33(2).

Kobylanska, M. (2017). Creating demand for the tourist product during the implementation of geotourist project for post-mining objects. Acta Geoturistica, 8(2), pp.58-66.

Kumar, D., Sachan, A. and Kumar, M. (2014). Implementation of Speech Recognition in Web Application for Sub Continental Language. International Journal of Engineering Trends and Technology, 9(11), pp.572-575.

Lundy, D. (2011). Do We Need Board Specialty Recognition (BRS) in Voice and Voice Disorders?. Perspectives on Voice and Voice Disorders, 21(2), p.40.

Wang, S., Huang, S. and Yuan, F. (2011). Design and Implementation of Speech Recognition System Based on SPCE061A. Advanced Materials Research, 187, pp.389-393.

Yi, B. (2013). Design and Implementation of Speech Recognition System Based on FPGA. Applied Mechanics and Materials, 416-417, pp.1156-1159.

Zwikael, O. (2009). The Relative Importance of the PMBOK® Guide's Nine Knowledge Areas during Project Planning. Project Management Journal, 40(4), pp.94-103.

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