@inproceedings{671800b22bf04cfca2e53ee9af05c55b,
title = "Incorporating AM-FM effect in voiced speech for probabilistic acoustic tube model",
abstract = "A complete speech model can improve performance for many speech applications. Probabilistic Acoustic Tube (PAT) is a probabilistic generative model of speech that has been shown potentially useful in a number of speech processing tasks. A point missing in previous PAT models is that they overlook AM/FM effect in voiced speech, which is in fact common and non-negligible. In this paper, we significantly improve the voiced modeling of PAT with a probabilistic model of AM/FM effect, which is developed from Bayesian Spectrum Estimation method. Experiments show that the new PAT is able to fit the voiced speech spectrum with greater accuracy in the presence of AM/FM effect.",
keywords = "AM/FM, Speech modeling, generative model, speech analysis",
author = "Yang Zhang and Zhijian Ou and Mark Hasegawa-Johnson",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015 ; Conference date: 18-10-2015 Through 21-10-2015",
year = "2015",
month = nov,
day = "24",
doi = "10.1109/WASPAA.2015.7336905",
language = "English (US)",
series = "2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015",
address = "United States",
}