Speech Recognition A-Z - Hands-on Course
Learn Speech Recognition today! The most advanced and promising branch of Artificial Intelligence and Machine Learning
Updated on Nov, 2025
Language - English
Development ,Data Science,Artificial Intelligence
Lectures -79
Resources -17
Duration -6.5 hours
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Course Description
The Speech Recognition course gives you a detailed look at the science of applying machine learning algorithms to process large amounts of speech data. Speech recognition is driving the growth of the AI market, and this course helps you develop the skills required to become a Speech recognition professional.
This course has been aligned with industry best practices as it has been created by industry leaders.
Goals
- This course helps you develop the skills required to become a Speech recognition professional. Through our lesson-end quizzes, course-end assessment, demos, and self-paced videos you will be able to understand speech recognition concepts and our course-end project will make you job-ready as well. All the demo resources are now available for you to download and practice.
Prerequisites
- Learners must have an understanding of Machine Learning Algorithms and how these algorithms work. Learners should be able to define and develop models in machine learning and derive outcomes.
Curriculum
Check out the detailed breakdown of what’s inside the course
Course Introduction
2 Lectures
-
Course Introduction
00:17
00:17
-
Speech Recognition - Quizzes
Lesson 1: Speech and its Types
10 Lectures
Lesson 2: Automated Speech Recognition
15 Lectures
Lesson 3: Speech to Text
11 Lectures
Lesson 4: Text to Speech
11 Lectures
Lesson 5: Multilingual Speech Processing
7 Lectures
Lesson 6: Speech Translation
7 Lectures
Lesson 7: Spoken Dialog System
9 Lectures
Lesson 8: Voice Conversion
6 Lectures
Course End Project
1 Lectures
Instructor Details
Learnkart Technology Pvt Ltd
About me
Tech enthousiast currently employed as a Data Engineer. My main focus is Scala + Spark on Kubernetes.
To prepare for Databricks certifications I highly recommend the books "Spark: The Definitive Guide" and "Learning Spark". Prof. Mark C. Lewis also has an excellent playlist about Spark on YouTube.
I'm happy to help in case you have any questions, just send me a message. You can also message me if you want to share feedback, see typos, or have ideas on how to improve my courses.
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