chore: add author names under paper title

UNICT-Fake-Audio · Jan 25, 2025 · 15f502e · 15f502e
1 parent 672bbfa
commit 15f502e
Showing 1 changed file with 20 additions and 8 deletions.
diff --git a/src/app/home/home.component.html b/src/app/home/home.component.html
@@ -16,7 +16,8 @@ <h2 class="text-center">Synthetic Audio Research</h2>
           />
         </div>
         <div class="media-body">
-          <h5 class="mt-0">Is synthetic voice detection research going into the right direction?</h5>
+          <h5 class="mt-0 text-center">Is synthetic voice detection research going into the right direction?</h5>
+          <p class="mt-0 text-center"><small>Stefano Borzì, Oliver Giudice, Filippo Stanco, Dario Allegra</small></p>
           <p>
             <i-bs name="file-earmark-pdf-fill" width="30" height="30" style="color: red"> </i-bs>
             -
@@ -69,10 +70,12 @@ <h5 class="mt-0">Is synthetic voice detection research going into the right dire
           <img src="assets/images/spafe.png" alt="Spafe: Simplified Python Audio Features Extraction" height="150" />
         </div>
         <div class="media-body">
-          <h5 class="mt-0">Spafe: Simplified Python Audio Features Extraction</h5>
-          <p>
-            Spafe (Simplified Python Audio Features Extraction) is a light weight library that aims to unite audio feature extraction
-            algorithms in one simple code.
+          <h5 class="mt-0 text-center">Spafe: Simplified Python Audio Features Extraction</h5>
+          <p class="mt-0 text-center">
+            <small>
+              Ayoub Malek, Hadrien Titeux, Stefano Borzì, Christian Heider Nielsen, Fabian-Robert Stöter, Hervé Bredin, Eryk Urbański &
+              Kevin Mattheus Moerman
+            </small>
           </p>
           <p>
             <i-bs name="github" width="30" height="30" style="color: black"> </i-bs>
@@ -94,6 +97,10 @@ <h5 class="mt-0">Spafe: Simplified Python Audio Features Extraction</h5>
             -
             <a href="https://superkogito.github.io/spafe/api_documentation.html" target="_blank">Documentation</a>
           </p>
+          <p>
+            Spafe (Simplified Python Audio Features Extraction) is a light weight library that aims to unite audio feature extraction
+            algorithms in one simple code.
+          </p>
         </div>
       </div>
     </div>
@@ -106,7 +113,8 @@ <h5 class="mt-0">Spafe: Simplified Python Audio Features Extraction</h5>
           <img src="assets/images/uncovering-synthetic.png" alt="Uncovering the Secrets of Synthetic Audio Detection" height="350" />
         </div>
         <div class="media-body">
-          <h5 class="mt-0">Uncovering the Secrets of Synthetic Audio Detection</h5>
+          <h5 class="mt-0 text-center">Uncovering the Secrets of Synthetic Audio Detection</h5>
+          <p class="text-center"><small>Stefano Borzì, Oliver Giudice, Filippo Stanco, Sebastiano Battiato, Dario Allegra</small></p>
           <p>
             <i-bs name="file-earmark-pdf-fill" width="30" height="30" style="color: red"> </i-bs>
             -
@@ -141,7 +149,8 @@ <h5 class="mt-0">Uncovering the Secrets of Synthetic Audio Detection</h5>
           />
         </div>
         <div class="media-body">
-          <h5 class="mt-0">Breaking the Silence: Detecting AI-Converted Voices in the Quietest Moments</h5>
+          <h5 class="mt-0 text-center">Breaking the Silence: Detecting AI-Converted Voices in the Quietest Moments</h5>
+          <p class="mt-0 text-center"><small>Stefano Borzì, Lorenzo Mongelli, Filippo Stanco, Sebastiano Battiato, Dario Allegra</small></p>
           <p>
             <i-bs name="file-earmark-pdf-fill" width="30" height="30" style="color: red"> </i-bs>
             -
@@ -178,7 +187,10 @@ <h5 class="mt-0">Breaking the Silence: Detecting AI-Converted Voices in the Quie
           />
         </div>
         <div class="media-body">
-          <h5 class="mt-0">Synthetic Speech Attribution: versatility comparison between handcrafted features and neural networks</h5>
+          <h5 class="mt-0 text-center">
+            Synthetic Speech Attribution: versatility comparison between handcrafted features and neural networks
+          </h5>
+          <p class="mt-0 text-center"><small>Stefano Borzì, Ignazio Gulino, Filippo Stanco, Sebastiano Battiato, Dario Allegra</small></p>
           <p>
             <i-bs name="file-earmark-pdf-fill" width="30" height="30" style="color: red"> </i-bs>
             -