Voice Recognition Project Plan & Report

The project is developed for a major tourist attraction on Australian Highway and the project is to implement Voice Recognition Technology in the same. 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.

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Voice Recognition
Project Plan & Report
10/6/2018

Voice Recognition
Table of Contents
Introduction...........................................................................................................................................2
Project Plan...........................................................................................................................................2
Assumptions......................................................................................................................................2
Justification.......................................................................................................................................2
Expansion of ICT Units.....................................................................................................................3
Estimated Cost Structure...................................................................................................................4
Estimated Resource Structure............................................................................................................5
Timesheet and Milestones.................................................................................................................7
PERT & Gantt chart........................................................................................................................10
Brief Interpretations.........................................................................................................................14
Report..................................................................................................................................................15
Cost-Benefit Analysis......................................................................................................................15
Recommendations on Project Management.....................................................................................18
Implementation Plan........................................................................................................................19
Time, Cost, and Resource Schedules...........................................................................................19
Comprehensive Post-Implementation Plan......................................................................................20
Recommendations & Conclusion....................................................................................................20
References...........................................................................................................................................22
1

Voice Recognition
Introduction
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.
Project Plan
Assumptions
 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.
Justification
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.
2

Voice Recognition
Expansion of ICT Units
Proposed Model (Kumar, Sachan and Kumar, 2014)
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.
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).
3

Voice Recognition
Estimated Cost Structure
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
4

Voice Recognition
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 6 days Computer Vision Engineer 2
5

Voice Recognition
Matching Algorithm
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
6

Voice Recognition
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 - 3 days Mon 22-10- Wed 24-10- 6
7

Voice Recognition
quality, communication, risks,
stakeholders 18 18
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 6 days Mon 04-03- Mon 11-03- 22
8

Voice Recognition
infrastructure 19 19
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.
PERT & Gantt chart
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
9

Voice Recognition
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
10

Voice Recognition
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
11

Voice Recognition
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
PERT chart
12

Voice Recognition
Gantt chart
13

Voice Recognition
Brief Interpretations
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
14

Voice Recognition
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.
Report
Cost-Benefit Analysis
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 $23,30
0
$23,300 $23,300 $23,300 $23,30
0
$23,300
Program Grand $2,29,16
15

Voice Recognition
Total Cost 0
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
$15,67
0
$15,
670
$15,
670
$15,
670
$15,
670
$15,
670
$15,
670
$15,
670
$15,
670
$15,
670
Identity
Management &
Automation
$9,990 $9,9
90
$9,9
90
$9,9
90
$9,9
90
$9,9
90
$9,9
90
$9,9
90
$9,9
90
$9,9
90
Tangible Benefits $11,32
0
$11,
320
$11,
320
$11,
320
$11,
320
$11,
320
$11,
320
$11,
320
$11,
320
$11,
320
Intangible
Benefits
$10,66
0
$10,
660
$10,
660
$10,
660
$10,
660
$10,
660
$10,
660
$10,
660
$10,
660
$10,
660
Total Benefits
Per Year
$47,64
0
$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
Undiscount
16

Voice Recognition
ed Flows
Costs -
$19,4
60
-
$23,3
00
-
$23,3
00
-
$23,3
00
-
$23,3
00
-
$23,3
00
-
$23,3
00
-
$23,3
00
-
$23,3
00
-
$23,3
00
Benefits $0 $18,1
03
$20,9
62
$23,8
20
$26,6
78
$29,5
37
$33,3
48
$37,1
59
$38,1
12
$39,0
65
Net Cash
Flow
-
$19,4
60
-
$5,19
7
-
$2,33
8
$520 $3,37
8
$6,23
7
$10,0
48
$13,8
59
$14,8
12
$15,7
65
Discount
Factors
Discount
Rate
8.0%
Base Year 0
Year Index 0 1 2 3 4 5 6 7 8 9
Discount
Factor
1.000
0
0.925
9
0.857
3
0.793
8
0.735
0
0.680
6
0.630
2
0.583
5
0.540
3
0.500
2
Discounted
Flows
Costs -
$19,4
60
-
$21,5
74
-
$19,9
76
-
$18,4
96
-
$17,1
26
-
$15,8
58
-
$14,6
83
-
$13,5
95
-
$12,5
88
-
$11,6
56
Benefits $0 $16,7
62
$17,9
71
$18,9
09
$19,6
09
$20,1
02
$21,0
15
$21,6
82
$20,5
91
$19,5
42
Net -
$19,4
60
-
$4,81
2
-
$2,00
5
$413 $2,48
3
$4,24
5
$6,33
2
$8,08
7
$8,00
2
$7,88
6
Cumulative -
$19,4
60
-
$24,2
72
-
$26,2
77
-
$25,8
64
-
$23,3
81
-
$19,1
36
-
$12,8
04
-
$4,71
7
$3,28
5
$11,1
71
Net Present
Value
$11,1
71
Internal 14%
17

Voice Recognition
Rate of
Return
Recommendations on Project Management
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.
18

Voice Recognition
Implementation Plan
Time, Cost, and Resource Schedules
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 ,We
b 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 ,Tec
hnical
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 ,Dat
abase
$25,200.00
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Voice Recognition
Expert ,Tech
nical Analyst
1.4.5
Milestone 4:
Implementation
Results
0 days
Tue
23-
04-19
Tue
23-04-
19
29 $0.00
Comprehensive Post-Implementation Plan
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).
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
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Voice Recognition
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.
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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
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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
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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.
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Zwikael, O. (2009). The Relative Importance of the PMBOK® Guide's Nine Knowledge
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