Update README.md

README.md

@@ -49,7 +49,7 @@ The SEIR-DB is suitable for:
 
 #### SPEAR (8 emotions – 375 hours)
 
-[SPEAR (Speech Emotion Analysis and Recognition System)](mailto:[email protected]) is an **ensemble model** developed by Gabriel Giangi and serves as the SER **benchmark** for this dataset. Below is a comparison of its performance against the best fine-tuned pre-trained model (WavLM Large):
+[SPEAR (Speech Emotion Analysis and Recognition System)](mailto:[email protected]) is an **ensemble model** and serves as the SER **benchmark** for this dataset. Below is a comparison of its performance against the best fine-tuned pre-trained model (WavLM Large):
 
 | WavLM Large Test Accuracy | SPEAR Test Accuracy | Improvement |
 |---------------------------|---------------------|-------------|