CIS8010 - Voice Recognition Technology Project Plan & Report

This document presents a comprehensive project plan and report for implementing voice recognition technology in a tourist attraction. It includes an analysis of the existing ICT infrastructure, a justification for the technology, and a proposed model for expanding the ICT unit. The plan details the estimated cost and resource structures, along with a timesheet and milestones presented through PERT and Gantt charts. The report further provides a cost-benefit analysis, recommendations for project management, and a post-implementation plan, concluding with final recommendations. This resource is available on Desklib, where students can access a variety of solved assignments and study tools.

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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