@inproceedings{81975abaa10e4b49a4384863938f72fd,
title = "Method of moments learning for left-to-right Hidden Markov models",
abstract = "We propose a method-of-moments algorithm for parameter learning in Left-to-Right Hidden Markov Models. Compared to the conventional Expectation Maximization approach, the proposed algorithm is computationally more efficient, and hence more appropriate for large datasets. It is also asymptotically guaranteed to estimate the correct parameters. We show the validity of our approach with a synthetic data experiment and a word utterance onset detection experiment.",
keywords = "Left-to-Right Hidden Markov Models, Method of Moments",
author = "Subakan, {Y. Cem} and Johannes Traa and Paris Smaragdis and Daniel Hsu",
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.2015.7336940",
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",
}