[Hannah D]

I think it’s the first one – if the test sentence is in the train data, there’s an exact match where no “new” joins need to be performed, which has a cost of 0. The problem that Taylor is discussing is that while this is a useful metric for some things, since it’s just a playback of human speech it doesn’t give a situation where we can compare synthesized speech with recorded speech.

Later in that section Taylor talks about keeping a test set of the input utterances, and synthesizing those sentences from the training (remainder) of the data. With this, you can compare the natural speech and hopefully-close-to-identical synthesized speech, as opposed to the natural speech and… the same natural speech.

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