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Exploring the Power and Pitfalls of AI in Speech Recognition

Artificial Intelligence (AI) has made some serious leaps forward lately, especially when it comes to understanding our voices. From chatting with virtual assistants like Siri and Alexa to dealing with automated customer service systems, AI-driven speech recognition is becoming a part of our everyday lives. But as impressive as this tech is, it's still not perfect. Let’s dive into what AI can do in the world of speech recognition and where it still has room to grow. What AI Can Do in Speech Recognition AI-powered speech recognition is all about turning spoken words into text, and it’s more complex than it might seem. Here’s how it works: Automatic Speech Recognition (ASR): This is the backbone of the technology. ASR takes your spoken words and translates them into written text using sophisticated algorithms and machine learning models.    Natural Language Processing (NLP): Once your speech is converted to text, NLP kicks in to make sense of what you’ve said. It’s like the brain

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