---
_id: '11756'
abstract:
- lang: eng
  text: Although complex-valued neural networks (CVNNs) â?? networks which can operate
    with complex arithmetic â?? have been around for a while, they have not been given
    reconsideration since the breakthrough of deep network architectures. This paper
    presents a critical assessment whether the novel tool set of deep neural networks
    (DNNs) should be extended to complex-valued arithmetic. Indeed, with DNNs making
    inroads in speech enhancement tasks, the use of complex-valued input data, specifically
    the short-time Fourier transform coefficients, is an obvious consideration. In
    particular when it comes to performing tasks that heavily rely on phase information,
    such as acoustic beamforming, complex-valued algorithms are omnipresent. In this
    contribution we recapitulate backpropagation in CVNNs, develop complex-valued
    network elements, such as the split-rectified non-linearity, and compare real-
    and complex-valued networks on a beamforming task. We find that CVNNs hardly provide
    a performance gain and conclude that the effort of developing the complex-valued
    counterparts of the building blocks of modern deep or recurrent neural networks
    can hardly be justified.
author:
- first_name: Lukas
  full_name: Drude, Lukas
  id: '11213'
  last_name: Drude
- first_name: Bhiksha
  full_name: Raj, Bhiksha
  last_name: Raj
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Drude L, Raj B, Haeb-Umbach R. On the appropriateness of complex-valued neural
    networks for speech enhancement. In: <i>INTERSPEECH 2016, San Francisco, USA</i>.
    ; 2016.'
  apa: Drude, L., Raj, B., &#38; Haeb-Umbach, R. (2016). On the appropriateness of
    complex-valued neural networks for speech enhancement. In <i>INTERSPEECH 2016,
    San Francisco, USA</i>.
  bibtex: '@inproceedings{Drude_Raj_Haeb-Umbach_2016, title={On the appropriateness
    of complex-valued neural networks for speech enhancement}, booktitle={INTERSPEECH
    2016, San Francisco, USA}, author={Drude, Lukas and Raj, Bhiksha and Haeb-Umbach,
    Reinhold}, year={2016} }'
  chicago: Drude, Lukas, Bhiksha Raj, and Reinhold Haeb-Umbach. “On the Appropriateness
    of Complex-Valued Neural Networks for Speech Enhancement.” In <i>INTERSPEECH 2016,
    San Francisco, USA</i>, 2016.
  ieee: L. Drude, B. Raj, and R. Haeb-Umbach, “On the appropriateness of complex-valued
    neural networks for speech enhancement,” in <i>INTERSPEECH 2016, San Francisco,
    USA</i>, 2016.
  mla: Drude, Lukas, et al. “On the Appropriateness of Complex-Valued Neural Networks
    for Speech Enhancement.” <i>INTERSPEECH 2016, San Francisco, USA</i>, 2016.
  short: 'L. Drude, B. Raj, R. Haeb-Umbach, in: INTERSPEECH 2016, San Francisco, USA,
    2016.'
date_created: 2019-07-12T05:27:39Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2016/interspeech_2016_drude_paper.pdf
oa: '1'
publication: INTERSPEECH 2016, San Francisco, USA
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2016/interspeech_2016_drude_slides.pdf
status: public
title: On the appropriateness of complex-valued neural networks for speech enhancement
type: conference
user_id: '44006'
year: '2016'
...