The Ultimate Beginners Guide to Python Virtual Assistants

The Ultimate Beginners Guide to Python Virtual Assistants, available at $74.99, has an average rating of 4.55, with 22 lectures, based on 28 reviews, and has 507 subscribers.

You will learn about Use speech recognition and voice synthesis libraries to build a complete virtual assistant Read tasks from an Excel file Search for specific terms in the web browser Predict emotions by speech Listen and recognize speech from the microphone Create and read reminders from text files This course is ideal for individuals who are Beginners in the area of virtual assistants or People interested in Natural Language Processing or Undergraduate and graduate students who are taking subjects on Artificial Intelligence or Data Scientists who want to grow their project portfolio It is particularly useful for Beginners in the area of virtual assistants or People interested in Natural Language Processing or Undergraduate and graduate students who are taking subjects on Artificial Intelligence or Data Scientists who want to grow their project portfolio.

Enroll now: The Ultimate Beginners Guide to Python Virtual Assistants

Summary

Title: The Ultimate Beginners Guide to Python Virtual Assistants

Price: $74.99

Average Rating: 4.55

Number of Lectures: 22

Number of Published Lectures: 22

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Use speech recognition and voice synthesis libraries to build a complete virtual assistant
Read tasks from an Excel file
Search for specific terms in the web browser
Predict emotions by speech
Listen and recognize speech from the microphone
Create and read reminders from text files

Who Should Attend

Beginners in the area of virtual assistants
People interested in Natural Language Processing
Undergraduate and graduate students who are taking subjects on Artificial Intelligence
Data Scientists who want to grow their project portfolio

Target Audiences

Beginners in the area of virtual assistants
People interested in Natural Language Processing
Undergraduate and graduate students who are taking subjects on Artificial Intelligence
Data Scientists who want to grow their project portfolio

Virtual assistants are already a reality in our daily lives, performing many tasks that make our day to day easier. Some examples are: creating and reading calendar reminders, searching the Internet, playing our favorite songs, speaking the weather forecast, reading the news and even telling jokes. The best known assistants today are Apple’s Siri, Microsoft’s Cortana, Amazon’s Alexa and Google Assistant.

In this step-by-step course you are going to learn how to build your own virtual assistant that works with voice commands! You will learn how to use speech recognition and voice synthesis libraries, so that the assistant understands what you say and also speaks the appropriate responses. Below are some features that will be implemented:

Web browser searches by voice
Classification of emotions in your voice (sadness, surprise, disgust, neutral, fear, happiness, and calm)
Open specific Youtube videos according to your emotion
Recognize the voice from the microphone
Date and time reading
Create and read reminders from .txt files
Excel file schedule reading

All codes will be implemented step by step using Python programming language and PyCharm IDE with the use of many different libraries, such as: playsound, SpeechRecognition, pyttsx3, tensorflow, librosa and openpyxl. We hope you enjoy the course and have a lot of ideias on how to apply the content on your own projects!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course content

Lecture 2: Course materials

Chapter 2: Building the assistant

Lecture 1: Installing the libraries

Lecture 2: Testing the installations

Lecture 3: Importing the libraries

Lecture 4: Commands and answers

Lecture 5: Loading the agenda

Lecture 6: Searching in the browser

Lecture 7: Model to classify emotions

Lecture 8: Audio sample rate – intuition

Lecture 9: Predicting emotions in audios 1

Lecture 10: Predicting emotions in audios 2

Lecture 11: Opening videos according to the emotions

Lecture 12: Voice synthesizer

Lecture 13: Recognizing the voice from the microphone

Lecture 14: Complete assistant – initializing

Lecture 15: Complete assistant – basic functions

Lecture 16: Complete assistant – creating and reading notes

Lecture 17: Complete assistant – search and reading the agenda

Lecture 18: Complete assistant – emotion analysis

Chapter 3: Final remarks

Lecture 1: Final remarks

Lecture 2: BONUS

Instructors

Jones Granatyr
Professor
Dalton Luiz Vargas
Cientista da Computação
AI Expert Academy
Instructor

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 3 votes
4 stars: 9 votes
5 stars: 16 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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