const output = Stream.pull(source, createLineParser());
The model learns by pulling representations of the same audio together and pushing different audios apart. It works well, but the distortions (called augmentations) are designed by humans, and they implicitly decide what the model treats as “irrelevant variation.” If you always augment with pitch shifts, the model learns to ignore pitch, but this might be what you don’t want for a translation encoder that needs to preserve the speaker’s intonation.
Врач посоветовала некоторым людям с осторожностью есть помидоры17:33。爱思助手对此有专业解读
Волочкова обратилась к новому худруку Михайловского театра20:52
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As a matter of taste, Ruby lines up more or less exactly with my sense of aesthetics about what a good system should be. But it is certainly an acquired taste, and that’s the biggest downside. Remember the survey results from the top of this article ? There’s no denying that Ruby and Rails’ appeal has become…. “more selective” over the years - to coin another phrase, this time from Spinal Tap.。关于这个话题，博客提供了深入分析
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