---
res:
  bibo_abstract:
  - This paper is concerned with speech presence probability estimation employing
    an explicit model of the temporal and spectral correlations of speech. An undirected
    graphical model is introduced, based on a Factor Graph formulation. It is shown
    that this undirected model cures some of the theoretical issues of an earlier
    directed graphical model. Furthermore, we formulate a message passing inference
    scheme based on an approximate graph factorization, identify this inference scheme
    as a particular message passing schedule based on the turbo principle and suggest
    further alternative schedules. The experiments show an improved performance over
    speech presence probability estimation based on an IID assumption, and a slightly
    better performance of the turbo schedule over the alternatives.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Thomas
      foaf_name: Glarner, Thomas
      foaf_surname: Glarner
      foaf_workInfoHomepage: http://www.librecat.org/personId=14169
  - foaf_Person:
      foaf_givenName: Mohammad
      foaf_name: Mahdi Momenzadeh, Mohammad
      foaf_surname: Mahdi Momenzadeh
  - foaf_Person:
      foaf_givenName: Lukas
      foaf_name: Drude, Lukas
      foaf_surname: Drude
      foaf_workInfoHomepage: http://www.librecat.org/personId=11213
  - foaf_Person:
      foaf_givenName: Reinhold
      foaf_name: Haeb-Umbach, Reinhold
      foaf_surname: Haeb-Umbach
      foaf_workInfoHomepage: http://www.librecat.org/personId=242
  dct_date: 2016^xs_gYear
  dct_language: eng
  dct_title: Factor Graph Decoding for Speech Presence Probability Estimation@
...