(no title)
oergiR
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5 years ago
Training a speaker-specific recogniser that improves over a generic recogniser requires a lot more data nowadays. First, generic systems are a lot better and trained on a lot more data nowadays. Second, speaker adaptation worked better for the Gaussian mixture models from the late nineties (don’t know about the eighties) than for neural networks.
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