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Found 2 papers, 1 papers with code
Domain Adaptation For Formant Estimation Using Deep Learning
We then freeze the parameters of the trained network and use several different datasets to train an adaptation layer that makes the obtained network universal in the sense that it works well for a variety of speakers and speech domains with very different characteristics.
Automatic measurement of vowel duration via structured prediction
Manually-annotated data were used to train a model that takes as input an arbitrary length segment of the acoustic signal containing a single vowel that is preceded and followed by consonants and outputs the duration of the vowel.
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