If you’re looking to implement automatic speech recognition (ASR) into your projects, you’re in the right place! In this article, we’ll guide you through how to use the Whisper model finetuned on Common Voice by Hezar AI. This model is perfect for recognizing Persian speech and comes packed with features that could elevate your applications.

Installation Process

The first step towards leveraging the Whisper model is to install the necessary Python package. This process is straightforward:

• Open your terminal or command prompt.
• Run the following command to install the Hezar package:

pip install hezar

Loading the Whisper Model

Once you have the package installed, you can load the Whisper model. Think of this step like opening a book; you’re getting ready to dive into the wealth of information it contains!

from hezar.models import Model
whisper = Model.load("hezaraiwhisper-small-fa")

Making Predictions

Now that you’ve loaded the Whisper model, it’s time to make some predictions! This step is akin to reading a sentence from the book you’ve opened, interpreting its meaning as you go. Here’s how you can do it:

transcripts = whisper.predict("speech_example.mp3")
print(transcripts)

Putting it All Together

Your final script will look something like this in its entirety:

pip install hezar
from hezar.models import Model

whisper = Model.load("hezaraiwhisper-small-fa")
transcripts = whisper.predict("speech_example.mp3")
print(transcripts)

Troubleshooting Tips

As you embark on your journey with the Whisper model, you may encounter a few bumps along the way. Here are some common issues and how to address them:

• Problem: Error saying “Module not found.”
• Solution: Ensure that the Hezar package is correctly installed. You might want to retry the installation command.
• Problem: Speech file not recognized.
• Solution: Check if the file path is correct and that the file format is supported.
• Problem: Prediction output is empty.
• Solution: Ensure your audio file has clear speech without background noise. Clarity significantly impacts performance.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

In conclusion, using the Whisper model by Hezar AI is an exciting way to tap into the world of automatic speech recognition. It offers powerful capabilities, especially for interpreting Persian speech from audio files. By following the steps outlined in this blog, you will be well on your way to crafting innovative applications that leverage this technology.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.