# Enhancing MusicGen with Prompt Tuning
## 4 Experimental Results
### Result
#### 4.4.2 KLD Score  
For audio samples generated with traditional Korean instrument prompts, the KLD demonstrated significant improvements in distributional similarity (see Table 7), with the most notable one observed in a specific sample, where the KLD score decreased by 0.02384, indicating substantially better alignment with the reference distribution, and overall, 15 out of 20 samples showed reduced KLD scores, with an average improvement of 0.00403. Similarly, for prompts specifying traditional Korean music genres, the KLD revealed consistent improvements in distributional similarity, with the most significant enhancement observed in a particular sample, showing a KLD score reduction of 0.01300, and among the 20 samples, 13 demonstrated decreased KLD scores, with an average improvement of 0.00401. For the additional comparison groups, the story-based prompts showed an average improvement of 0.00552 with a maximum reduction of 0.02368, while the traditional cultural theme prompts demonstrated an average improvement of 0.00438 with a maximum reduction of 0.00823. These reductions suggest that our tuning method effectively captures and preserves the distinctive characteristics of traditional Korean music while maintaining the statistical properties of the generated music.  
The comprehensive evaluation using both CLAP and the KLD demonstrates the effectiveness of our proposed method across multiple dimensions. For instrument-related prompts, the proposed method achieved significant improvements in semantic understanding, with CLAP scores increasing by an average of 0.1270, and the most notable  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Index** & **Instrument** & **Genre** & **Story** & **Traditional** \\ \hline Avg & +0.1270 & +0.1613 & +0.0002 & +0.0121 \\ Max & +0.3691 & +0.3941 & +0.1819 & +0.2752 \\ Min & +0.0114 & +0.0271 & \(-\)0.0926 & \(-\)0.0327 \\ \hline \hline \end{tabular}
\end{table}
Table 6: Result of CLAP scores.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Index** & **Baseline** & **The Proposed Method** & **Difference** \\ \hline Inst Avg & 0.01019 & 0.00616 & \(-\)0.00403 \\ Inst Max & 0.03002 & 0.00937 & \(-\)0.02065 \\ Inst Min & 0.00291 & 0.00292 & 0.00001 \\ \hline Genre Avg & 0.01155 & 0.00754 & \(-\)0.00401 \\ Genre Max & 0.02223 & 0.02612 & 0.00389 \\ Genre Min & 0.00300 & 0.00191 & \(-\)0.00109 \\ \hline Story Avg & 0.01097 & 0.00545 & \(-\)0.00552 \\ Story Max & 0.03307 & 0.00939 & \(-\)0.02368 \\ Story Min & 0.00246 & 0.00294 & +0.00048 \\ \hline Traditional Avg & 0.01233 & 0.00795 & \(-\)0.00438 \\ Traditional Max & 0.03692 & 0.02869 & \(-\)0.00823 \\ Traditional Min & 0.00451 & 0.00272 & \(-\)0.00179 \\ \hline \hline \end{tabular}
\end{table}
Table 7: Result of KLD scores.  
enhancement of 0.3691 was observed in the kkwaenggwari-related prompt. This semantic improvement was complemented by better distributional similarity, as evidenced by a reduction in the average KLD score from 0.01019 to 0.00616 (improvement of 0.00403). Similarly, for genre-related prompts, the proposed method showed even more substantial enhancements, with CLAP scores improving by an average of 0.1613, peaking at a 0.3941 increase for the boheosa variation prompt. The KLD evaluation for genres revealed a comparable improvement, with the average score decreasing by 0.00401, from 0.01155 to 0.00754. For the additional comparison groups, the story-based prompts showed modest CLAP improvements with an average of 0.0002 and KLD improvements of 0.00552, while the traditional cultural theme prompts demonstrated CLAP improvements of 0.0121 and KLD improvements of 0.00438. These consistent improvements across both evaluation metrics and categories demonstrate that the proposed method successfully enhances adaptability for rare genres and styles and the semantic understanding of text prompts.