A maximum likelihood approach to the detection of moments of maximum excitation and its application to high-quality speech parameterization

2015 ◽  
Author(s):  
Ranniery Maia ◽  
Yannis Stylianou ◽  
Masami Akamine
Keyword(s):  
Maximum Likelihood ◽  
High Quality ◽  
Maximum Likelihood Approach ◽  
Likelihood Approach

scholarly journals ‘Multi-SpaM’: a maximum-likelihood approach to phylogeny reconstruction using multiple spaced-word matches and quartet trees

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Thomas Dencker ◽  
Chris-André Leimeister ◽  
Michael Gerth ◽  
Christoph Bleidorn ◽  
Sagi Snir ◽  
...  
Keyword(s):  
Maximum Likelihood ◽  
Sequence Comparison ◽  
Phylogeny Reconstruction ◽  
Neighbor Joining ◽  
Tree Reconstruction ◽  
High Quality ◽  
Multiple Sequence ◽  
Maximum Likelihood Approach ◽  
Alignment Free ◽  
Likelihood Approach

Abstract Word-based or ‘alignment-free’ methods for phylogeny inference have become popular in recent years. These methods are much faster than traditional, alignment-based approaches, but they are generally less accurate. Most alignment-free methods calculate ‘pairwise’ distances between nucleic-acid or protein sequences; these distance values can then be used as input for tree-reconstruction programs such as neighbor-joining. In this paper, we propose the first word-based phylogeny approach that is based on ‘multiple’ sequence comparison and ‘maximum likelihood’. Our algorithm first samples small, gap-free alignments involving four taxa each. For each of these alignments, it then calculates a quartet tree and, finally, the program ‘Quartet MaxCut’ is used to infer a super tree for the full set of input taxa from the calculated quartet trees. Experimental results show that trees produced with our approach are of high quality.

Emotion detection in infants² cries based on a maximum likelihood approach

2006 ◽  
Author(s):  
S. Matsunaga ◽  
S. Sakaguchi ◽  
M. Yamashita ◽  
S. Miyahara ◽  
S. Nishitani ◽  
...  
Keyword(s):  
Maximum Likelihood ◽  
Emotion Detection ◽  
Maximum Likelihood Approach ◽  
Likelihood Approach

scholarly journals A maximum likelihood approach to the inverse problem of scatterometry

2012 ◽  
Vol 20 (12) ◽  
pp. 12771 ◽  
Author(s):  
Mark-Alexander Henn ◽  
Hermann Gross ◽  
Frank Scholze ◽  
Matthias Wurm ◽  
Clemens Elster ◽  
...  
Keyword(s):  
Inverse Problem ◽  
Maximum Likelihood ◽  
Maximum Likelihood Approach ◽  
Likelihood Approach
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