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classification problem

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Overflow10

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Hi, I have a question.
I want to train a classifier that is able to detect a single specified speech word. I train the classifier with a training set that consists of positive samples: the features of the specified word. My problem is the training set should contain the against samples too, but they are very lots samples! How can I train a classifier with an infinity of against samples?
Thanks.
 

Hi overflow10.
You do not need to train for negative samples. In your condition for negation, just provide the word, syllables, speech patterns with != (not equal to) condition. That would suffice.
If you're using a tool like tanagra, it will be easier.
Hop this helps.
 

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