The conversation between human and AI assistant.
Why hidden Markov model can't handle noisy insertion of characters?
So, what can be used instead to handle the noisy insertion of characters?
One possible solution is to use a different type of model, such as a neural network. Neural networks are better-suited to handling noisy data because they can learn to recognize patterns and make predictions based on those patterns. Another option is to preprocess the data to remove the noise before using a hidden Markov model.