It is voice based Assistant ppt presentation to help user for their project formation and module description information. A voice assistant is a technology based on artificial intelligence. The software uses a device’s microphone to receive voice requests while the voice output takes place at the speaker. But the most exciting thing happens between these two actions.
It is a combination of several different technologies: voice recognition, voice analysis and language processing.
It is completely developed using one of the most powerful language python.
Applications
Voice assistant applications have been making lives easier by providing custom services based on voice commands. We help businesses to utilize this technology to expand their functionality and streamline their business operations with efficiency.
We utilize voice assistant applications to deliver intuitive, automated experiences and build customer engagement.
DASHBOARD REPORTS
We enable you to track your business performance and better understand your data on your dashboard assistant to discover valuable insights in real-time.
USER-CENTERED SUPPORT
Allow your users to navigate and ask questions with ease. Our in-app voice assistant supports users by responding to their inquiries in real-time.
Scope
The voice assistant application market is projected to grow at 27.3% CAGR during the forecast period of 2021-2026.
A voice assistant is primarily a digital assistant built upon using AI, machine learning, and voice recognition technologies. 1. Customer satisfaction When it comes to determining the effectiveness of voice assistants in customer service, client happiness is essential.
2. Completion rate Voice chat assists in the reduction of customer service tickets.
3. Return on investment
A virtual voice assistant is a software agent that can interpret human speech and respond via
synthesis voices. It is a tool for search, for reminders and to write notes just by speaking it up. Voice
Window assistant is used to create voice apps for intelligent assistant when user needs to open any
other application or for any searching purposes, he can use the command open. It will detect the
speech and save it in database. This device created to take inputs either from commands or from
microphone. ASR(Automatic speech recognition) is the main principle behind the working of
AIbased voice assistant. ASR systems, at first it records the speech then the wave file has been
created by device Then give the output which we want. User can do lot of tasks with this assistants
like they can ask questions, they can ask them to do particular tasks like send on gmail , play songs
etc. This system is being designed in such a way that all the services provided by mobile devices are
accessible by end user on the user voice commands. These voice assistant are embedded in
smartphones or in the form of speakers at home. It communicates with the user in natural language.
1 Social
Highly Engaging
Advanced Computational Intelligence: An International Journal (ACII)aciijournal
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
VOICE COMMAND SYSTEM USING RASPBERRY PIaciijournal
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
Voice Command System Using Raspberry PIaciijournal
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
Advanced Virtual Assistant Based on Speech Processing Oriented Technology on ...ijtsrd
With the advancement of technology, the need for a virtual assistant is increasing tremendously. The development of virtual assistants is booming on all platforms. Cortana, Siri are some of the best examples for virtual assistants. We focus on improving the efficiency of virtual assistant by reducing the response time for a particular action. The primary development criterion of any virtual assistant is by developing a simple U.I. for assistant in all platforms and core functioning in the backend so that it could perform well in multi plat formed or cross plat formed manner by applying the backend code for all the platforms. We try a different research approach in this paper. That is, we give computation and processing power to edge devices itself. So that it could perform well by doing actions in a short period, think about the normal working of a typical virtual assistant. That is taking command from the user, transfer that command to the backend server, analyze it on the server, transfer back the action or result to the end user and finally get a response if we could do all this thing in a single machine itself, the response time will get reduced to a considerable amount. In this paper, we will develop a new algorithm by keeping a local database for speech recognition and creating various helpful functions to do particular action on the end device. Akhilesh L "Advanced Virtual Assistant Based on Speech Processing Oriented Technology on Edge Concept (S.P.O.T)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33289.pdf Paper Url: https://www.ijtsrd.com/computer-science/realtime-computing/33289/advanced-virtual-assistant-based-on-speech-processing-oriented-technology-on-edge-concept-spot/akhilesh-l
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Advanced Computational Intelligence: An International Journal (ACII)aciijournal
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
VOICE COMMAND SYSTEM USING RASPBERRY PIaciijournal
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
Voice Command System Using Raspberry PIaciijournal
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
Advanced Virtual Assistant Based on Speech Processing Oriented Technology on ...ijtsrd
With the advancement of technology, the need for a virtual assistant is increasing tremendously. The development of virtual assistants is booming on all platforms. Cortana, Siri are some of the best examples for virtual assistants. We focus on improving the efficiency of virtual assistant by reducing the response time for a particular action. The primary development criterion of any virtual assistant is by developing a simple U.I. for assistant in all platforms and core functioning in the backend so that it could perform well in multi plat formed or cross plat formed manner by applying the backend code for all the platforms. We try a different research approach in this paper. That is, we give computation and processing power to edge devices itself. So that it could perform well by doing actions in a short period, think about the normal working of a typical virtual assistant. That is taking command from the user, transfer that command to the backend server, analyze it on the server, transfer back the action or result to the end user and finally get a response if we could do all this thing in a single machine itself, the response time will get reduced to a considerable amount. In this paper, we will develop a new algorithm by keeping a local database for speech recognition and creating various helpful functions to do particular action on the end device. Akhilesh L "Advanced Virtual Assistant Based on Speech Processing Oriented Technology on Edge Concept (S.P.O.T)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33289.pdf Paper Url: https://www.ijtsrd.com/computer-science/realtime-computing/33289/advanced-virtual-assistant-based-on-speech-processing-oriented-technology-on-edge-concept-spot/akhilesh-l
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
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Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. Contents
1.Introduction
2. Literature Survey
2.1 Existing system architecture
2.2 Summary of Literature Survey
2.3 Problem Statement, Scope and Objectives
3. Implementation
3.1 Proposed Block Diagram
3.2 Mathematical Model
3.3 Hardware and Software Details
3.4 Input and Output Specification
3.5 Performance Evaluation Parameters
3.6 Conclusion
4. Application
5. References
6. Acknowledgement
2
3. Introduction
A voice assistant is a technology based on artificial intelligence. The
software uses a device’s microphone to receive voice requests while the
voice output takes place at the speaker. But the most exciting thing
happens between these two actions.
It is a combination of several different technologies: voice recognition,
voice analysis and language processing.
It is completely developed using one of the most powerful language
python.
3
4. LITERATURE SURVEY
Sr.no Paper Name/ Details Author Year Conclusion
1. IEEE: AI based voice
Assistant
1.Subhash s
2.Ullas s
Sep-2022 This project we have installed
gTTS engine package to make the
voice assistant speak like human
being
2. IJRT: voice Assistant
using Python
1.Prachi s
2.Abhishek singh
April-2021 This project Voice assistant keep
listening for commands
ASR convert speech into text
TTS out text output into speech
3. Engpaper : Virtual
Assistant AI
1. A.Kalouyis
2. M.Spiliopoulo
August-2019 In this paper, intelligent virtual
assistant agent can perform tasks
b. Online chat programs are used
exclusively for entertainment
purpose.
4. Desktop Voice Assistant. 1.vishal Kumar
Dhanraj
April-2022 In this system is using Google’s
online speech recognition system
for converting speech input to text.
4
7. 7
Problem Statement
The main aim of our project is that we have created a function, Intelligent Personal Assistant
which can perform mental tasks like turning on/off smart phone applications with the help of
Voice User interface (VUI) which is used to listen and process audio commands.
Scope
The voice assistant application market is projected to grow at 27.3% CAGR during the forecast
period of 2021-2026.
A voice assistant is primarily a digital assistant built upon using AI, machine learning, and voice
recognition technologies.
Objective
1.The project aims to help visually impaired individuals access important phone features.
2. To introduce advanced voice assistant systems for individuals with vision impairment
3. To guide visually impaired individuals in performing day-to-day tasks.
9. MODELS
ACOUSTIC MODELS
• Acoustic model is a relationship between audio signal and phoneme
• Phoneme means one of the smallest unit of speech that make one word different from another
word
PRONUNCIATION DICTIONARY
• The act or result of producing the sounds of speech, including articulation, stress, and intonation
• A phonetic transcription of a given word, sound, etc.
• An accepted standard of the sound and stress patterns of a word, phrase, etc.
LANGUAGE MODELS
• The language model provides context to distinguish between words and phrases that sound
similar.
for example, In American English the phrases “recognize speach” and “wreck a
nice beach” sound similar , but mean different things.
9
11. 11
Requirements
Software requirements
Pycharm IDE/visual studio code
Inno Setup Compiler
Pyinstaller
Python 3.10.2 and its Sub modules
Hardware requirements
Intel core i5
4gb RAM
30 Gb Hard drive space
12. User Voice to text
Action perform
Database
voice assistant
Computer
Voice Command Perform action
DFD - 1
12
INPUT OUTPUT SPECIFICATION
13. User This will convert
voice into binary
Microphone
Computer
This will convert
voice data into text
form
voice API
Flow sensor
value
Voice audio
data
Perform action
DFD - 2
13
14. 14
Evaluation Parameters
1. Customer satisfaction When it comes to determining the
effectiveness of voice assistants in customer service, client happiness
is essential.
2. Completion rate Voice chat assists in the reduction of customer
service tickets.
3. Return on investment
15. Use case diagrams 15
Input
voice
Sent
mail
Turn
on/off
Wi Fi
Wikipedia
Read
search
User
16. User Microphone API
Computer
Virtual Assistant API
Voice response
Start Mic
Wait until user speak
Receive data
Convert audio to text
Match text with action
Perform action
Voice / Text
Response
16
17. MODULES
Speech recognition
Process and system utilities ( psutil )
PlaySound
SMTP Protocol client ( smtplib )
17
18. Conclusion
Voice Controlled Assistant System will use the Natural language
processing and can be integrated with artificial intelligence techniques
to achieve a smart assistant that can control the computer and
applications and even solve user queries using web searches.. It can be
designed to minimize the human efforts to interact with many other
subsystems, which would otherwise have to be performed manually. By
achieving this, the system will make human life comfortable
18
19. 19
APPLICATION
Voice assistant applications have been making lives easier by providing custom services
based on voice commands. We help businesses to utilize this technology to expand their
functionality and streamline their business operations with efficiency.
We utilize voice assistant applications to deliver intuitive, automated experiences and
automated experiences and build customer engagement.
DASHBOARD REPORTS
We enable you to track your business performance and better understand your data on your
understand your data on your dashboard assistant to discover valuable insights in real-time.
valuable insights in real-time.
USER-CENTERED SUPPORT
Allow your users to navigate and ask questions with ease. Our in-app voice assistant
voice assistant supports users by responding to their inquiries in real-time.
20. 20
REFERENCES
S Subhash; Prajwal N Srivatsa; S Siddesh; A Ullas; B Santhosh, “ Artificial
intelligence based voice assistant” ,IEEE,2020
G Baskaran, Harrish Raj ,S Arun Kumar, R Anand, “To Build A Virtual Assistant
By Using Artificial Intelligence” ,Researchgate,2021...
Shakti Arora, Vijay Anant Athavale, Himanshu Maggu, , “Artificial Intelligence
and Virtual Assistant-Working Model” , Springer,2020
Deepak Shende, Ria Umahiya ,Monika Raghorte ,Aishwarya Bhisikar "AI Based
Voice Assistant Using Python", February-2019
21. 21
ACKNOWLEDGEMENT
We would like to Express my special thanks of gratitude to our Prof.
Payel Thakur Who gave us the golden opportunity to do this wonderful
project on the topic AI Based Voice Assistant, which also help us to lot of
research and we came to know About so many new things we are
thankful to you.
