fix minor issues

full_result.html

@@ -43,22 +43,22 @@ table.metrics-table thead th {background:#f0f0f0; font-weight:600;}
     <tr>
       <th></th>
       <th>noisy</th>
-      <th>miipher</th>
+      <th>Miipher-2</th>
       <th>sidon</th>
       <th>noisy</th>
-      <th>miipher</th>
+      <th>Miipher-2</th>
       <th>sidon</th>
       <th>noisy</th>
-      <th>miipher</th>
+      <th>Miipher-2</th>
       <th>sidon</th>
       <th>noisy</th>
-      <th>miipher</th>
+      <th>Miipher-2</th>
       <th>sidon</th>
       <th>noisy</th>
-      <th>miipher</th>
+      <th>Miipher-2</th>
       <th>sidon</th>
       <th>noisy</th>
-      <th>miipher</th>
+      <th>Miipher-2</th>
       <th>sidon</th>
     </tr>
     <tr>
@@ -2208,7 +2208,6 @@ table.metrics-table thead th {background:#f0f0f0; font-weight:600;}
   </tbody>
 </table>
         </div>
-        <p class="is-size-7 has-text-grey">Note: Values loaded directly from the evaluation export.</p>
       </div>
       <script>
       // Merge CI columns into corresponding mean columns as "mean ± CI"
@@ -2274,6 +2273,42 @@ table.metrics-table thead th {background:#f0f0f0; font-weight:600;}
         mergePair('DNSMOS', 'DNSMOS_95%_CI');
         mergePair('NISQA', 'NISQA_95%_CI');
 
+        // After merging CI columns, bold the best (max) per row
+        function boldBest(groupName) {
+          const g = findGroup(groupName);
+          if (!g) return;
+          const bodyRows = table.tBodies[0].rows;
+          for (let r = 0; r < bodyRows.length; r++) {
+            const row = bodyRows[r];
+            if (!row || !row.cells) continue;
+            let bestIdx = -1;
+            let bestVal = -Infinity;
+            for (let j = 0; j < g.span; j++) {
+              const cell = row.cells[g.start + j];
+              if (!cell) continue;
+              const txt = (cell.textContent || '').trim();
+              const val = parseFloat(txt);
+              if (!Number.isNaN(val) && val > bestVal) {
+                bestVal = val;
+                bestIdx = j;
+              }
+            }
+            for (let j = 0; j < g.span; j++) {
+              const cell = row.cells[g.start + j];
+              if (!cell) continue;
+              // Clear any existing bold styling inside the cell
+              cell.style.fontWeight = '';
+            }
+            if (bestIdx >= 0) {
+              const bestCell = row.cells[g.start + bestIdx];
+              if (bestCell) bestCell.style.fontWeight = '700';
+            }
+          }
+        }
+
+        boldBest('DNSMOS');
+        boldBest('NISQA');
+
         // Add a small note after transformation
         const note = document.createElement('p');
         note.className = 'is-size-7 has-text-grey';
@@ -2286,13 +2321,6 @@ table.metrics-table thead th {background:#f0f0f0; font-weight:600;}
   </section>
 
   <footer class="footer">
-    <div class="container">
-      <div class="content has-text-centered">
-        <a class="icon-link" href="index.html">
-          <i class="fas fa-home"></i>
-        </a>
-      </div>
-    </div>
   </footer>
 </body>
 

index.html

@@ -98,7 +98,6 @@
           <h2 class="title is-3">Abstract</h2>
           <div class="content has-text-justified">
             <p>
-<<<<<<< HEAD
               Large-scale text-to-speech (TTS) systems are limited by the scarcity of clean,
               multilingual recordings. We introduce <b>Sidon</b>, a fast, open-source
               speech restoration model that converts noisy in-the-wild speech into
@@ -112,10 +111,6 @@
               recognition corpus improves the quality of synthetic
               speech in a zero-shot setting. Code and model are released to
               facilitate reproducible dataset cleansing for the research community.
-=======
-              Large-scale text-to-speech (TTS) systems are limited by the scarcity of clean, multilingual recordings. We
-              introduce <b>Sidon</b>, a fast, open-source speech restoration model that converts noisy in-the-wild
-              speech into studio-quality speech and scales to dozens of languages.
             </p>
           </div>
         </div>
@@ -128,10 +123,9 @@
 
   <section class="section">
     <div class="container is-max-desktop">
-<<<<<<< HEAD
       <h2 class="title is-3 has-text-centered">Full Multilingual Results (FLEURS)</h2>
       <div class="content has-text-centered is-size-6">
-        <p>The full multilingual evaluation table is large. It is hidden by default to keep the page lightweight.</p>
+        <p>The full multilingual evaluation table is large. It is hidden by default.</p>
       </div>
       <details id="fleurs-details" class="box">
         <summary class="is-size-5">Show results table</summary>