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In this paper we tackle the problem of automatic measure- ment of pre-aspiration duration. We propose two algorithms for this purpose. The first one is a ...
Apr 5, 2017 · We propose two machine learning methods for automatic measurement of pre-aspiration duration: a feedforward neural network, which works at ...
In this paper, we propose two machine learning methods for automatic measurement of pre-aspiration duration: feedforward neural network, which works at the ...
In this paper we tackle the problem of automatic measure- ment of pre-aspiration duration. We propose two algorithms for this purpose. The first one is a ...
Pre-aspiration is defined as the period of glottal friction occurring in sequences of vocalic/consonantal sonorants and phonetically voiceless obstruents.
In this paper, we propose two machine learning methods for automatic measurement of pre-aspiration duration: feedforward neural network, which works at the ...
Pre-aspiration is defined as the period of glottal friction occurring in sequences of vocalic/consonantal sonorants and phonetically voiceless obstruents.
Pre-aspiration is defined as the period of glottal friction occurring in sequences of vocalic/consonantal sonorants and phonetically voiceless obstruents.
We propose two machine learning methods for automatic measurement of pre-aspiration duration: a feedforward neural network, which works at the frame level; and ...
Sheena, Y., Hejná, M., Adi, Y., & Keshet, J. (2017). Automatic measurement of pre-aspiration, arXiv preprint arXiv:1704., 1653. Sheena, Y. ; Hejná, M. ; Adi, Y.