Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Pull Request for ML-Crate 💡
Issue Title: Audio Classification
Info about the related issue (Aim of the project) : The aim of this project is develop a machine learning model to classify audio recordings into predefined categories and analyze the audio features and model performance.
Name: Keshav
Email ID for further communication: keshavsharma1441@gmail.com
GitHub ID: https://github.com/keshav1441
Idenitfy yourself: SSOC'24 contributor
I have developed a machine learning model for audio classification using a diverse set of features extracted from audio files. The model accurately categorizes audio samples into predefined classes, leveraging techniques like MFCCs, chroma features, and mel spectrograms for robust classification.
Closes: #463
Describe the add-ons or changes you've made 📃
Give a clear description of what have you added or modifications made
I have enhanced the model by incorporating advanced feature extraction techniques such as MFCCs, chroma features, and mel spectrograms to capture intricate audio characteristics. Additionally, I implemented a thorough hyperparameter tuning process and explored multiple machine learning algorithms to optimize classification accuracy.
What sort of change have you made:
How Has This Been Tested? ⚙️
Describe how it has been tested
Describe how have you verified the changes made
Checklist: ☑️