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A comment on Single Speaker Speech Recognition with Hidden Markov Models. Parent comment

Re:Single Speaker Speech Recognition with Hidden Markov Models by relate on Friday May 23, 2014 @05:55AM (#7788645)
ICA helps you separate a superposition of two or more signals. Assuming the speakers are not speaking at the same time, he might rather want to use speaker identification methods to find what parts to mute (e.g. train a binary classifier that operates a spectrogram of the signal).
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Re:Single Speaker Speech Recognition with Hidden Markov Models by kastnerkyle on Monday May 26, 2014 @02:05AM (#7798876)
Good point. I was thinking of two people speaking at the same time, but that would probably be hard to listen to :). Speaker dependent muting is a much more reasonable approach
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