I’m developing a conversational bot that requires accurate voice input from users, which will be converted to text. I need advice on the best tools or libraries in Python to ensure clear and precise voice capture, minimizing background noise and improving transcription accuracy.

Here are some details about my setup and requirements:

• The bot will be used in environments with varying levels of background noise.
• Accurate voice-to-text conversion is crucial for the bot’s performance.
• I’m looking for Python libraries or tools that can effectively handle real-time voice capture and noise reduction.

Specifically, I’d like to know:

1. Which Python libraries are best for capturing voice input efficiently?
2. Are there any recommended libraries or algorithms for real-time noise reduction and voice enhancement?
3. What best practices should I follow when implementing these tools to ensure the highest quality voice input for my bot?

Any insights, recommendations, or experiences with similar setups would be greatly appreciated. Thank you!