Building on yesterday’s work, I continued experimenting with the Whisper model. I used Python to test the model’s ability to transcribe more complex and varied speech inputs. By the end of the day, I had achieved a good level of accuracy in the transcriptions, which showed the model’s potential for handling real-world speech inputs. This progress was crucial for understanding how Whisper could be effectively utilized in the project.