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Domain Adaptation For Formant Estimation Using Deep Learning
Yehoshua Dissen, Joseph Keshet, Jacob Goldberger +1
In this paper we present a domain adaptation technique for formant estimation using a deep network. We first train a deep learning network on a small read speech dataset. We then f…
PMI Matrix Approximations with Applications to Neural Language Modeling
Oren Melamud, Ido Dagan, Jacob Goldberger
The negative sampling (NEG) objective function, used in word2vec, is a simplification of the Noise Contrastive Estimation (NCE) method. NEG was found to be highly effective in lear…
A Semisupervised Approach for Language Identification based on Ladder Networks
Ehud Ben-Reuven, Jacob Goldberger
In this study we address the problem of training a neuralnetwork for language identification using both labeled and unlabeled speech samples in the form of i-vectors. We propose a…