Update index.html

index.html

@@ -106,7 +106,7 @@
               and vocoder trained to synthesize restored speech from the cleansed features.
               Sidon achieves restoration performance comparable to Miipher: Google's internal speech restoration model with
               the aim of dataset cleansing for speech synthesis. Sidon is also computationally
-              efficient, running up to 3,390× faster than real time on a
+              efficient, running up to 500× faster than real time on a
               single GPU. We further show that training a TTS model using a Sidon-cleansed automatic speech
               recognition corpus improves the quality of synthetic
               speech in a zero-shot setting. Code and model are released to