![denoised_100_1600].png](/parthkl021/Respiratory-Sound-Classification-using-Wavelet-Denoising-and-Deep-Learning-/blob/main/denoised_100_1600%5D.png){kind=link}
Leveraged wavelet denoising and deep learning techniques for the classification of respiratory sounds. - Implemented signal processing techniques and wavelet denoising for audio data cleanup and feature extraction. - Developed and trained a deep learning model (Conv1D, Bi-LSTM, CNN, RNN) for phase identification
-
Notifications
You must be signed in to change notification settings - Fork 0
Leveraged wavelet denoising and deep learning techniques for the classification of respiratory sounds. - Implemented signal processing techniques and wavelet denoising for audio data cleanup and feature extraction. - Developed and trained a deep learning model (Conv1D, Bi-LSTM, CNN, RNN) for phase identification
License
parthkl021/Respiratory-Sound-Classification-using-Wavelet-Denoising-and-Deep-Learning-
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Leveraged wavelet denoising and deep learning techniques for the classification of respiratory sounds. - Implemented signal processing techniques and wavelet denoising for audio data cleanup and feature extraction. - Developed and trained a deep learning model (Conv1D, Bi-LSTM, CNN, RNN) for phase identification
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published