---
_id: '44843'
abstract:
- lang: eng
  text: "Unsupervised blind source separation methods do not require a training phase\r\nand
    thus cannot suffer from a train-test mismatch, which is a common concern in\r\nneural
    network based source separation. The unsupervised techniques can be\r\ncategorized
    in two classes, those building upon the sparsity of speech in the\r\nShort-Time
    Fourier transform domain and those exploiting non-Gaussianity or\r\nnon-stationarity
    of the source signals. In this contribution, spatial mixture\r\nmodels which fall
    in the first category and independent vector analysis (IVA)\r\nas a representative
    of the second category are compared w.r.t. their separation\r\nperformance and
    the performance of a downstream speech recognizer on a\r\nreverberant dataset
    of reasonable size. Furthermore, we introduce a serial\r\nconcatenation of the
    two, where the result of the mixture model serves as\r\ninitialization of IVA,
    which achieves significantly better WER performance than\r\neach algorithm individually
    and even approaches the performance of a much more\r\ncomplex neural network based
    technique."
author:
- first_name: Christoph
  full_name: Boeddeker, Christoph
  id: '40767'
  last_name: Boeddeker
- first_name: Frederik
  full_name: Rautenberg, Frederik
  id: '72602'
  last_name: Rautenberg
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Boeddeker C, Rautenberg F, Haeb-Umbach R. A Comparison and Combination of
    Unsupervised Blind Source Separation  Techniques. In: <i>ITG Conference on Speech
    Communication</i>. ; 2021.'
  apa: Boeddeker, C., Rautenberg, F., &#38; Haeb-Umbach, R. (2021). A Comparison and
    Combination of Unsupervised Blind Source Separation  Techniques. <i>ITG Conference
    on Speech Communication</i>. ITG Conference on Speech Communication, Kiel.
  bibtex: '@inproceedings{Boeddeker_Rautenberg_Haeb-Umbach_2021, title={A Comparison
    and Combination of Unsupervised Blind Source Separation  Techniques}, booktitle={ITG
    Conference on Speech Communication}, author={Boeddeker, Christoph and Rautenberg,
    Frederik and Haeb-Umbach, Reinhold}, year={2021} }'
  chicago: Boeddeker, Christoph, Frederik Rautenberg, and Reinhold Haeb-Umbach. “A
    Comparison and Combination of Unsupervised Blind Source Separation  Techniques.”
    In <i>ITG Conference on Speech Communication</i>, 2021.
  ieee: C. Boeddeker, F. Rautenberg, and R. Haeb-Umbach, “A Comparison and Combination
    of Unsupervised Blind Source Separation  Techniques,” presented at the ITG Conference
    on Speech Communication, Kiel, 2021.
  mla: Boeddeker, Christoph, et al. “A Comparison and Combination of Unsupervised
    Blind Source Separation  Techniques.” <i>ITG Conference on Speech Communication</i>,
    2021.
  short: 'C. Boeddeker, F. Rautenberg, R. Haeb-Umbach, in: ITG Conference on Speech
    Communication, 2021.'
conference:
  location: Kiel
  name: ITG Conference on Speech Communication
date_created: 2023-05-15T07:59:33Z
date_updated: 2023-11-15T15:29:32Z
ddc:
- '000'
department:
- _id: '54'
external_id:
  arxiv:
  - '2106.05627'
file:
- access_level: open_access
  content_type: application/pdf
  creator: frra
  date_created: 2023-05-16T08:37:31Z
  date_updated: 2023-11-15T15:29:32Z
  file_id: '44856'
  file_name: 2106.05627.pdf
  file_size: 295972
  relation: main_file
file_date_updated: 2023-11-15T15:29:32Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/pdf/2106.05627.pdf
oa: '1'
publication: ITG Conference on Speech Communication
status: public
title: A Comparison and Combination of Unsupervised Blind Source Separation  Techniques
type: conference
user_id: '40767'
year: '2021'
...