---
_id: '66982'
author:
- first_name: Emil
full_name: Bjornson, Emil
last_name: Bjornson
- first_name: Henk
full_name: Wymeersch, Henk
last_name: Wymeersch
- first_name: Bho
full_name: Matthiesen, Bho
id: '126292'
last_name: Matthiesen
orcid: 0000-0002-4582-3938
- first_name: Petar
full_name: Popovski, Petar
last_name: Popovski
- first_name: Luca
full_name: Sanguinetti, Luca
last_name: Sanguinetti
- first_name: Elisabeth
full_name: de Carvalho, Elisabeth
last_name: de Carvalho
citation:
ama: 'Bjornson E, Wymeersch H, Matthiesen B, Popovski P, Sanguinetti L, de Carvalho
E. Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless
applications. IEEE Signal Processing Magazine. 2022;39(2):135-158. doi:10.1109/msp.2021.3130549'
apa: 'Bjornson, E., Wymeersch, H., Matthiesen, B., Popovski, P., Sanguinetti, L.,
& de Carvalho, E. (2022). Reconfigurable Intelligent Surfaces: A signal processing
perspective with wireless applications. IEEE Signal Processing Magazine,
39(2), 135–158. https://doi.org/10.1109/msp.2021.3130549'
bibtex: '@article{Bjornson_Wymeersch_Matthiesen_Popovski_Sanguinetti_de Carvalho_2022,
title={Reconfigurable Intelligent Surfaces: A signal processing perspective with
wireless applications}, volume={39}, DOI={10.1109/msp.2021.3130549},
number={2}, journal={IEEE Signal Processing Magazine}, publisher={Institute of
Electrical and Electronics Engineers (IEEE)}, author={Bjornson, Emil and Wymeersch,
Henk and Matthiesen, Bho and Popovski, Petar and Sanguinetti, Luca and de Carvalho,
Elisabeth}, year={2022}, pages={135–158} }'
chicago: 'Bjornson, Emil, Henk Wymeersch, Bho Matthiesen, Petar Popovski, Luca Sanguinetti,
and Elisabeth de Carvalho. “Reconfigurable Intelligent Surfaces: A Signal Processing
Perspective with Wireless Applications.” IEEE Signal Processing Magazine
39, no. 2 (2022): 135–58. https://doi.org/10.1109/msp.2021.3130549.'
ieee: 'E. Bjornson, H. Wymeersch, B. Matthiesen, P. Popovski, L. Sanguinetti, and
E. de Carvalho, “Reconfigurable Intelligent Surfaces: A signal processing perspective
with wireless applications,” IEEE Signal Processing Magazine, vol. 39,
no. 2, pp. 135–158, 2022, doi: 10.1109/msp.2021.3130549.'
mla: 'Bjornson, Emil, et al. “Reconfigurable Intelligent Surfaces: A Signal Processing
Perspective with Wireless Applications.” IEEE Signal Processing Magazine,
vol. 39, no. 2, Institute of Electrical and Electronics Engineers (IEEE), 2022,
pp. 135–58, doi:10.1109/msp.2021.3130549.'
short: E. Bjornson, H. Wymeersch, B. Matthiesen, P. Popovski, L. Sanguinetti, E.
de Carvalho, IEEE Signal Processing Magazine 39 (2022) 135–158.
date_created: 2026-09-04T14:09:03Z
date_updated: 2026-09-04T19:41:53Z
doi: 10.1109/msp.2021.3130549
extern: '1'
intvolume: ' 39'
issue: '2'
language:
- iso: eng
page: 135-158
publication: IEEE Signal Processing Magazine
publication_identifier:
issn:
- 1053-5888
- 1558-0792
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: 'Reconfigurable Intelligent Surfaces: A signal processing perspective with
wireless applications'
type: journal_article
user_id: '126292'
volume: 39
year: '2022'
...
---
_id: '15814'
abstract:
- lang: eng
text: Once a popular theme of futuristic science fiction or far-fetched technology
forecasts, digital home assistants with a spoken language interface have become
a ubiquitous commodity today. This success has been made possible by major advancements
in signal processing and machine learning for so-called far-field speech recognition,
where the commands are spoken at a distance from the sound capturing device. The
challenges encountered are quite unique and different from many other use cases
of automatic speech recognition. The purpose of this tutorial article is to describe,
in a way amenable to the non-specialist, the key speech processing algorithms
that enable reliable fully hands-free speech interaction with digital home assistants.
These technologies include multi-channel acoustic echo cancellation, microphone
array processing and dereverberation techniques for signal enhancement, reliable
wake-up word and end-of-interaction detection, high-quality speech synthesis,
as well as sophisticated statistical models for speech and language, learned from
large amounts of heterogeneous training data. In all these fields, deep learning
has occupied a critical role.
author:
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Shinji
full_name: Watanabe, Shinji
last_name: Watanabe
- first_name: Tomohiro
full_name: Nakatani, Tomohiro
last_name: Nakatani
- first_name: Michiel
full_name: Bacchiani, Michiel
last_name: Bacchiani
- first_name: Bjoern
full_name: Hoffmeister, Bjoern
last_name: Hoffmeister
- first_name: Michael L.
full_name: Seltzer, Michael L.
last_name: Seltzer
- first_name: Heiga
full_name: Zen, Heiga
last_name: Zen
- first_name: Mehrez
full_name: Souden, Mehrez
last_name: Souden
citation:
ama: 'Haeb-Umbach R, Watanabe S, Nakatani T, et al. Speech Processing for Digital
Home Assistance: Combining Signal Processing With Deep-Learning Techniques. IEEE
Signal Processing Magazine. 2019;36(6):111-124. doi:10.1109/MSP.2019.2918706'
apa: 'Haeb-Umbach, R., Watanabe, S., Nakatani, T., Bacchiani, M., Hoffmeister, B.,
Seltzer, M. L., Zen, H., & Souden, M. (2019). Speech Processing for Digital
Home Assistance: Combining Signal Processing With Deep-Learning Techniques. IEEE
Signal Processing Magazine, 36(6), 111–124. https://doi.org/10.1109/MSP.2019.2918706'
bibtex: '@article{Haeb-Umbach_Watanabe_Nakatani_Bacchiani_Hoffmeister_Seltzer_Zen_Souden_2019,
title={Speech Processing for Digital Home Assistance: Combining Signal Processing
With Deep-Learning Techniques}, volume={36}, DOI={10.1109/MSP.2019.2918706},
number={6}, journal={IEEE Signal Processing Magazine}, author={Haeb-Umbach, Reinhold
and Watanabe, Shinji and Nakatani, Tomohiro and Bacchiani, Michiel and Hoffmeister,
Bjoern and Seltzer, Michael L. and Zen, Heiga and Souden, Mehrez}, year={2019},
pages={111–124} }'
chicago: 'Haeb-Umbach, Reinhold, Shinji Watanabe, Tomohiro Nakatani, Michiel Bacchiani,
Bjoern Hoffmeister, Michael L. Seltzer, Heiga Zen, and Mehrez Souden. “Speech
Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning
Techniques.” IEEE Signal Processing Magazine 36, no. 6 (2019): 111–24.
https://doi.org/10.1109/MSP.2019.2918706.'
ieee: 'R. Haeb-Umbach et al., “Speech Processing for Digital Home Assistance:
Combining Signal Processing With Deep-Learning Techniques,” IEEE Signal Processing
Magazine, vol. 36, no. 6, pp. 111–124, 2019, doi: 10.1109/MSP.2019.2918706.'
mla: 'Haeb-Umbach, Reinhold, et al. “Speech Processing for Digital Home Assistance:
Combining Signal Processing With Deep-Learning Techniques.” IEEE Signal Processing
Magazine, vol. 36, no. 6, 2019, pp. 111–24, doi:10.1109/MSP.2019.2918706.'
short: R. Haeb-Umbach, S. Watanabe, T. Nakatani, M. Bacchiani, B. Hoffmeister, M.L.
Seltzer, H. Zen, M. Souden, IEEE Signal Processing Magazine 36 (2019) 111–124.
date_created: 2020-02-06T07:26:20Z
date_updated: 2023-01-09T11:47:09Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/MSP.2019.2918706
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2020-02-06T07:28:26Z
date_updated: 2020-02-06T07:28:26Z
file_id: '15815'
file_name: JournalIEEESignal ProcessingMagazine_2019_Haeb-Umbach_Paper.pdf
file_size: 1085002
relation: main_file
file_date_updated: 2020-02-06T07:28:26Z
has_accepted_license: '1'
intvolume: ' 36'
issue: '6'
language:
- iso: eng
oa: '1'
page: 111-124
publication: IEEE Signal Processing Magazine
publication_identifier:
issn:
- 1558-0792
status: public
title: 'Speech Processing for Digital Home Assistance: Combining Signal Processing
With Deep-Learning Techniques'
type: journal_article
user_id: '242'
volume: 36
year: '2019'
...