A start-up is developing a speech recognition system that transcribes audio clips into text. The system needs to consider the order of spoken words and their context. Which neural network model would be best suited for this sequential data task?
- Convolutional Neural Network (CNN)
- Transformer
- Recurrent Neural Network (RNN)
- Gated Recurrent Unit (GRU)
A Transformer model is best suited for this task because it excels in capturing long-range dependencies and context in sequential data, making it highly effective for transcribing audio clips into text and understanding the spoken words' context.
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