How is deep learning transforming speech technology?
Deep learning is revolutionizing speech technology by improving accuracy in speech recognition and enabling natural language processing.
Can you give examples of applications using deep learning in speech tech?
Sure! Applications include virtual assistants like Siri and Alexa, real-time translation services, and automated transcription tools.
What are the challenges faced in implementing deep learning for speech?
Challenges include the need for large datasets, computational power, and addressing biases in training data.
How does deep learning compare to traditional speech recognition methods?
Deep learning outperforms traditional methods by learning complex patterns in data, leading to higher accuracy and adaptability.
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