Why Deep Learning is the Best Approach for Speech Recognition

Deep Learning is considered the best approach for speech recognition due to its ability to process speech in an end-to-end manner, unlike traditional methods that rely on separate acoustic, pronunciation, and language models. Traditional methods are highly lossy to a computer as they involve making simplifying assumptions at each step of the process, resulting in performance limitations and suboptimal results. Deep learning, on the other hand, allows for simultaneous optimization across the entire problem domain, leading to more accurate speech recognition systems like Alexa and Siri.

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