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Detecting Signal Corruptions in Voice Recordings For Speech Therapy
Nylén, Helmer
KTH, School of Engineering Sciences (SCI).
Chatterjee, Saikat
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.
ORCID iD:
0000-0003-2638-6047
Ternström, Sten
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.
ORCID iD:
0000-0002-3362-7518
2021 (English)
In:
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE) , 2021, p. 386-390
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. p. 386-390
National Category
Otorhinolaryngology Computer Sciences
Research subject
Speech and Music Communication
Identifiers
URN:
urn:nbn:se:kth:diva-295343
DOI:
10.1109/ICASSP39728.2021.9414383
ISI:
000704288400078
Scopus ID:
2-s2.0-85115053568
OAI: oai:DiVA.org:kth-295343
DiVA, id:
diva2:1556030
Conference
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Note
QC 20210622
Available from:
2021-05-19
Created:
2021-05-19
Last updated:
2022-06-25
Bibliographically approved
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https://ieeexplore.ieee.org/document/9414383/
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Nylén, Helmer
Chatterjee, Saikat
Ternström, Sten
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Nylén, Helmer
Chatterjee, Saikat
Ternström, Sten
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Speech, Music and Hearing, TMH
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295343
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ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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