Music Genre Classification with DCGAN

In Progress Posted 1 year ago Paid on delivery
In Progress Paid on delivery

Music Genre Classification with DCGAN

Work content

1. Google Colab code

2. Report (Simple) the results

3. Deadline (10days after being selected or can be decided through talking. Should mention progress after 3-days).

I. Dataset (music data)

CSV data (fixed, I will give you or we can discuss)

2. Data analysis: (Reading and Understanding the Data, Showing raw data, Visualizing Audio Files, Plot Raw Wave Files, Spectrograms, pectral Rolloff, Spectral Centroid, MFCC (Mel-Frequency-Cepstral Coefficients), Chroma Feature, Zero Crossing Rate, Feature Extraction, Scaling the Features)

2. Build GRU (Gated Recurrent Unit) for genre classification

3. Model Evaluation of DCGAN for genre classification (Confusion matrix, data results, figures)

4. Comparison with CNN results (or others)

4. Detailed work scope will be given by platform chat.

Python

Project ID: #33839805

About the project

10 proposals Remote project Active 1 year ago

Awarded to:

aniskhanvw

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1.8

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