Model space size scaling for speaker adaptation

Abstract

In the current work, instantaneous adaptation in speech recognition is performed by estimating speaker properties, which modify the original trained acoustic models. We introduce a new property, the size of the model space, which is included to the previously used features, VTLN and spectral slope. These are jointly estimated for each test utterance. The… (More)

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