https://github.com/shivambasak/devil-ai

https://github.com/shivambasak/devil-ai

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• Host: GitHub
• URL: https://github.com/shivambasak/devil-ai
• Owner: shivamBasak
• Created: 2022-09-15T12:44:27.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-18T04:38:28.000Z (10 months ago)
• Last Synced: 2024-01-18T09:20:07.931Z (10 months ago)
• Language: Python
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# DEVIL-Ai

1. **Diverse accents and languages:** Creating a speech recognition AI in Python is challenging due to the need to account for diverse accents and languages, requiring extensive training data.

2. **Background noise interference:** Overcoming the impact of background noise on speech recognition accuracy poses a significant difficulty in developing a robust system.

3. **Real-time processing demands:** Achieving real-time processing for seamless interaction adds complexity, as it requires efficient algorithms and optimized code for timely responses.

4. **Limited computational resources:** The resource-intensive nature of training deep learning models for speech recognition can be a hurdle, particularly when dealing with limited computational resources.

5. **Ambiguity in natural language:** Deciphering the nuances and context of natural language introduces challenges in accurately interpreting speech, especially when phrases have multiple meanings.

6. **Adaptability to new vocabularies:** Building a system that can adapt to evolving vocabularies or industry-specific jargon poses a difficulty, requiring constant updates and retraining.