With an accuracy of more than 95%, This is our Voice Recognition model for our Final Year Project! The data was collected by us, through Audio recordings! There are 5 Letters that appear on the screen T O Z F L. We collected 160 to 170 audio samples for each letter for 60% from male and 40% from Female. The model is trained using CNN.
-
Notifications
You must be signed in to change notification settings - Fork 0
With an accuracy of more than 95%, This is our Voice Recognition model for our Final Year Project! The data was collected by us, through Audio recordings! There are 5 Letters that appear on the screen T O Z F L. We collected 160 to 170 audio samples for each letter for 60% from male and 40% from Female. The model is trained using CNN.
MuhammadHammad-git/Voice-Recognition-Model-for-FYP-Trained-in-CNN-
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
With an accuracy of more than 95%, This is our Voice Recognition model for our Final Year Project! The data was collected by us, through Audio recordings! There are 5 Letters that appear on the screen T O Z F L. We collected 160 to 170 audio samples for each letter for 60% from male and 40% from Female. The model is trained using CNN.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published