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TMP-23-105
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K.Tharmikan
TMP-23-105
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90128a31
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90128a31
authored
May 19, 2023
by
K.Tharmikan
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@@ -112,6 +112,7 @@ Developing a database of music tracks categorized based on their mood states.
...
@@ -112,6 +112,7 @@ Developing a database of music tracks categorized based on their mood states.
> Nature of solution
> Nature of solution
```
The proposed system benefits us to present interaction between the user and the music player. The
The proposed system benefits us to present interaction between the user and the music player. The
purpose of the system is to capture the face properly with the camera. Captured images are fed into the
purpose of the system is to capture the face properly with the camera. Captured images are fed into the
Convolutional Neural Network which predicts the emotion. Then emotion derived from the captured
Convolutional Neural Network which predicts the emotion. Then emotion derived from the captured
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@@ -134,6 +135,7 @@ dataset of user-song ratings and using this data to train the collaborative filt
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@@ -134,6 +135,7 @@ dataset of user-song ratings and using this data to train the collaborative filt
using a neural network for multi-class classification. The process involves building a dataset of
using a neural network for multi-class classification. The process involves building a dataset of
songs and using their audio features as inputs to the neural network, which will output the
songs and using their audio features as inputs to the neural network, which will output the
classification of the songs.
classification of the songs.
```
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