From 4b7c828a4527268b5a5479fc234939769deb1002 Mon Sep 17 00:00:00 2001
From: Madush Chandrasena <86040480+MadushDilshan@users.noreply.github.com>
Date: Fri, 10 Nov 2023 17:28:04 +0530
Subject: [PATCH 01/14] Update README.md
---
docs/README.md | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/docs/README.md b/docs/README.md
index a46f4d6..aaf9746 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -38,14 +38,14 @@ title:
## Abstract
Music is a powerful language that stirs up a wide range of emotions in people. Understanding and recognizing these emotions is crucial for applications like personalized music recommendations, music therapy, and affective computing. Music Emotion Recognition (MER) systems aim to automatically analyze and classify the emotional content of music, providing insights into how different compositions affect our emotions.
-#### Preliminary Knowledge
+##### Preliminary Knowledge
Existing MER publications can be mainly categorized into two sections, namely song-level MER (or static) and music emotion variation detection (MEVD, or dynamic). Assigning
the overall emotion label (or labels, if the task is viewed as a multi-classification or regression problem) to one song is referred to as song-level MER.MEVD considers the emotion of the music as a changing process, where the dynamic changing process of emotion needs to be recognized when conducting MEVD research.
-#### Research framework:
+##### Research framework:
Most existing MER works based on machine learning include three parts and they are, domain definition, feature extraction, and emotion recognition. “Figure. 1”, shows the overall framework of MER systems.
-#### Emotion Model:
+##### Emotion Model:
Dimensional emotion models are widely used in MER systems. There are two main dimension emotion models namely Thayer’s emotion model and Russell’s circumplex model. Both models use arousal and valence values (AV values) to identify the emotion in a given music sample. Associated with the AV values, each music sample becomes a point in the arousal-valence plane, so the users can efficiently retrieve the music sample by specifying a desired point in the emotion plane."Figure. 2" shows Thayer’s emotion model associated with MER.
| Figure 1 | Figure 2 |
From 49889623b1a135e919c7e5157d43d4b5db58cd12 Mon Sep 17 00:00:00 2001
From: Madush Chandrasena <86040480+MadushDilshan@users.noreply.github.com>
Date: Fri, 10 Nov 2023 17:33:46 +0530
Subject: [PATCH 02/14] Update README.md
---
docs/README.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/README.md b/docs/README.md
index aaf9746..4ad0f88 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -106,7 +106,7 @@ We applied different layers of DNN with different number of units to test to imp
| Best Model Developed VsExsisting models (RMSE) |
| ------- |
-| ![Image 9](./images/best_model_developed_Vs_Exsisting_Model_1.png) |
+| ![Image 9](./images/best_model_developed_Vs_Exsisting_Model_2.png) |
| Best Model Developed VsExsisting models (R2 Score) |
| ------- |
From 66ad0b8e165933c9102a827ff069c4c7c8d15354 Mon Sep 17 00:00:00 2001
From: Madush Chandrasena <86040480+MadushDilshan@users.noreply.github.com>
Date: Fri, 10 Nov 2023 17:35:04 +0530
Subject: [PATCH 03/14] Update README.md
---
docs/README.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/README.md b/docs/README.md
index 4ad0f88..aaf9746 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -106,7 +106,7 @@ We applied different layers of DNN with different number of units to test to imp
| Best Model Developed VsExsisting models (RMSE) |
| ------- |
-| ![Image 9](./images/best_model_developed_Vs_Exsisting_Model_2.png) |
+| ![Image 9](./images/best_model_developed_Vs_Exsisting_Model_1.png) |
| Best Model Developed VsExsisting models (R2 Score) |
| ------- |
From 71f6e8403748b2a649dbc474cf5dc793a8b17b0c Mon Sep 17 00:00:00 2001
From: Madush Chandrasena <86040480+MadushDilshan@users.noreply.github.com>
Date: Fri, 10 Nov 2023 17:35:53 +0530
Subject: [PATCH 04/14] Update README.md
---
docs/README.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/README.md b/docs/README.md
index aaf9746..83f0b09 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -106,7 +106,7 @@ We applied different layers of DNN with different number of units to test to imp
| Best Model Developed VsExsisting models (RMSE) |
| ------- |
-| ![Image 9](./images/best_model_developed_Vs_Exsisting_Model_1.png) |
+| ![Image 9](./images/best_model_developed_Vs_Exsisting_Model_1.jpg) |
| Best Model Developed VsExsisting models (R2 Score) |
| ------- |
From 4db59a85b7ed117812a401e3bf9d58668e9b4cd0 Mon Sep 17 00:00:00 2001
From: Madush Chandrasena <86040480+MadushDilshan@users.noreply.github.com>
Date: Fri, 10 Nov 2023 17:52:18 +0530
Subject: [PATCH 05/14] Update README.md
---
docs/README.md | 8 ++++++++
1 file changed, 8 insertions(+)
diff --git a/docs/README.md b/docs/README.md
index 83f0b09..b2990ef 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -116,6 +116,14 @@ We applied different layers of DNN with different number of units to test to imp
| ------- |
| ![Image 11](./images/best_model_developed_Vs_Exsisting_Model_3.png) |
+## Results and Analysis
+
+##### Prediction System
+
+The below graph visually represents the dynamic emotional trajectory of a music track over its duration. Time is plotted on the x-axis, segmented into 2-second intervals, covering the entire length of the song. The y-axis reflects the predicted emotional states, showcasing how the emotions of the music evolve over time. Each point on the graph corresponds to a 2-second segment of the song, with the connected line illustrating the flow and transitions between different predicted emotions. Peaks and valleys in the graph indicate significant shifts in emotional content, providing a comprehensive and insightful overview of the emotional journey experienced throughout the entire musical composition.
+
+| ![Image 12](./images/best_model_developed_Vs_Exsisting_Model_3.png)|
+
## Conclusion
Systems that are using DNN, have a higher accuracy compared to the systems that use only the traditional machine learning algorithms.
From 441098b1bf1c6f6c05053ec92b6731a6fc493a04 Mon Sep 17 00:00:00 2001
From: Madush Chandrasena <86040480+MadushDilshan@users.noreply.github.com>
Date: Fri, 10 Nov 2023 17:56:23 +0530
Subject: [PATCH 06/14] Add files via upload
---
docs/images/Emotion_graph.png | Bin 0 -> 128388 bytes
1 file changed, 0 insertions(+), 0 deletions(-)
create mode 100644 docs/images/Emotion_graph.png
diff --git a/docs/images/Emotion_graph.png b/docs/images/Emotion_graph.png
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