Description
Speaker Recognition course By Award Winning Textbook Author. Voice recognition course By award-winning textbook author. This course is an introduction to speaker recognition techniques. Speaker recognition is at the intersection of voice processing, biometrics and machine learning and has various applications. You can find speaker recognition software on your smartphone, smart home devices, and various business services. In this course, we begin with an introduction to the history of speaker recognition techniques to see how they have evolved from simple human efforts to modern deep learning-based intelligent systems. We’ll cover the basics of acoustics, perception, sound processing, signal processing and feature extraction, so you don’t need a background in these areas. We will also introduce popular machine learning approaches such as Gaussian mixture models, support vector machines, factor analysis, and neural networks. We will focus on how to build speaker recognition systems based on audio features and machine learning models, with an emphasis on modern speaker recognition with deep learning, such as different options for inference logic, loss functions, and neural network topologies. We will also discuss data processing techniques such as data cleaning, data augmentation and data fusion. We’ve included lots of exercises and coding examples for you to really master the topics introduced in this course, and a final project to guide you through building your own speaker recognition system from scratch. If you are a college student interested in artificial intelligence or signal processing, or are a software engineer, system architect, or product manager working with related technologies, then this course is definitely for you!
What is in the Speaker Recognition course By Award Winning Textbook Author you will learn
-
Basic concepts and main algorithms in speaker recognition
-
Sound processing and acoustics
-
Machine learning and deep learning principles
-
Coding practice and audio and speech tools
-
Python and PyTorch for machine learning
-
Building a speaker recognition system from scratch
This course is suitable for people who
- College students or graduates
- Engineers, researchers and program managers in academia or industry
- General audience interested in artificial intelligence
- Interesting technology fans
Specifications of the Speaker Recognition course By Award Winning Textbook Author
- Publisher: Udemy
- teacher: Quan Wang
- Training level: beginner to advanced
- Training duration: 6 hours and 40 minutes
Course topics on 12/2022
Prerequisites for the Speaker Recognition course By Award Winning Textbook Author
- College level mathematics
- Experience with machine learning or coding will be a plus
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.01 GB
Be the first to comment