Open keshav1441 opened 2 weeks ago
Our team will soon review your PR. Thanks @keshav1441 :)
What's the issue number? @keshav1441
I hadn't get any response . Is there any issue?
On Sat, 15 Jun 2024 at 11:58, Abhishek Sharma @.***> wrote:
What's the issue number? @keshav1441 https://github.com/keshav1441
β Reply to this email directly, view it on GitHub https://github.com/abhisheks008/ML-Crate/pull/656#issuecomment-2169158300, or unsubscribe https://github.com/notifications/unsubscribe-auth/BENRHXNVAPJ4EPIHSWEREFTZHPNKLAVCNFSM6AAAAABJK5MYOSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNRZGE2TQMZQGA . You are receiving this because you were mentioned.Message ID: @.***>
I hadn't get any response . Is there any issue? β¦ On Sat, 15 Jun 2024 at 11:58, Abhishek Sharma @.> wrote: What's the issue number? @keshav1441 https://github.com/keshav1441 β Reply to this email directly, view it on GitHub <#656 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/BENRHXNVAPJ4EPIHSWEREFTZHPNKLAVCNFSM6AAAAABJK5MYOSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNRZGE2TQMZQGA . You are receiving this because you were mentioned.Message ID: @.>
I asked you to share the issue number you are contributing for this pull request.
Pull Request for ML-Crate π‘
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 π
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? βοΈ
Describe how it has been tested Describe how have you verified the changes made
Checklist: βοΈ