Update app.py

app.py

@@ -25,7 +25,7 @@ Models in the leaderboard are evaluated using several key metrics:
 
 These metrics help evaluate both the accuracy and quality of the model.
 
-### UTMOS (UTokyo-SaruLab Mean Opinion Score)[Paper](https://arxiv.org/abs/2204.02152)
+### UTMOS (UTokyo-SaruLab Mean Opinion Score)[[Paper](https://arxiv.org/abs/2204.02152)]
 UTMOS is a MOS prediction system. **A higher UTMOS indicates better quality** of the generated voice.
 
 
@@ -45,10 +45,10 @@ The WER calculation is done as follows:
 WER = (S + I + D) / N = (1 + 0 + 1) / 6 = 0.333
 ```
 
-### STOI (Short-Time Objective Intelligibility)[Paper](https://ieeexplore.ieee.org/abstract/document/5495701?casa_token=PLtqLc8KNAgAAAAA:FOLuZ4dgMYsnGb1dQHgqVOouQzRJ3vA5yqj-sbwf8gs9Q-AIDCLkMZzAgzRrAogwwxULK9zsYeE)
+### STOI (Short-Time Objective Intelligibility)[[Paper](https://ieeexplore.ieee.org/abstract/document/5495701?casa_token=PLtqLc8KNAgAAAAA:FOLuZ4dgMYsnGb1dQHgqVOouQzRJ3vA5yqj-sbwf8gs9Q-AIDCLkMZzAgzRrAogwwxULK9zsYeE)]
 STOI measures the intelligibility of the synthesized speech signal compared to the original signal. **A higher STOI indicates better intelligibility**.
 
-### PESQ (Perceptual Evaluation of Speech Quality)[Paper](https://ieeexplore.ieee.org/abstract/document/941023?casa_token=jdtHy84_KhQAAAAA:qHN3WbT6cNdufj6OOn_fn0Je0RedMv-WJCmhQ_3CWy4nMTuDvFMF3KstAmKqLx5suQwdPgGByoY)
+### PESQ (Perceptual Evaluation of Speech Quality)[[Paper](https://ieeexplore.ieee.org/abstract/document/941023?casa_token=jdtHy84_KhQAAAAA:qHN3WbT6cNdufj6OOn_fn0Je0RedMv-WJCmhQ_3CWy4nMTuDvFMF3KstAmKqLx5suQwdPgGByoY)]
 PESQ is a perceptual metric that evaluates the quality of speech in a similar manner to how a human listener would. **A higher PESQ indicates better voice quality**.