https://github.com/datarohit/deep-audio-classification
This project aims to build a deep learning model for counting the number of Capuchinbird calls within a given audio clips. Here audio spectrograms and split-window approach is used to count the bird calls in the the audio.
https://github.com/datarohit/deep-audio-classification
audio-classification audio-processing deep-learning image-classification spectrogram tensorflow
Last synced: 7 months ago
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This project aims to build a deep learning model for counting the number of Capuchinbird calls within a given audio clips. Here audio spectrograms and split-window approach is used to count the bird calls in the the audio.
- Host: GitHub
- URL: https://github.com/datarohit/deep-audio-classification
- Owner: DataRohit
- Created: 2023-12-19T14:39:01.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-01-07T12:18:39.000Z (about 2 years ago)
- Last Synced: 2025-04-09T14:08:28.409Z (11 months ago)
- Topics: audio-classification, audio-processing, deep-learning, image-classification, spectrogram, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 2.92 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Deep-Audio-Classification
## Dataset Link
[Z by HP Unlocked Challenge 3 - Signal Processing](https://www.kaggle.com/datasets/kenjee/z-by-hp-unlocked-challenge-3-signal-processing) by Ken Jee and Hunter Kempf available on Kaggle.
## Platform
Google Colaboratory
## Kaggle Notebook Link
[Deep Audio Classification - Spectrogram](https://www.kaggle.com/code/datarohitingole/deep-audio-classification-spectrogram)