Data analysis of Music and CNN
Ngân sách $30-250 USD
I will describe it after I will send the document. Work content (All coding should be in Google Colab , Report)
1. data set analysis
• mp3 format
• WMA (Windows Media Audio) format
• wav (Waveform Audio File) format
1.1 plot raw data analysis and visual show
1.2 Spectrograms of music data
1.3 Spectral Rolloff
1.4 Spectral Centroid
1.5 MFCC (Mel-Frequency-Cepstral Coefficients)
1.6 Chroma Feature
1.7 Zero Crossing Rate
1.8 Feature Extraction
1.9 Scaling the Features
2. CNN Model
2.1 Dividing Data into Training and Testing Sets
2.2 Building the Model for the music classification genre. There are many ways through which we can train our model. Some of these approaches are:
• Multiclass Support Vector Machines
• K-Means Clustering
• K-Nearest Neighbors
• Convolutional Neural Networks
You should give the following results of CNN algorithm is used (More specification will show through chat)
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