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Detecting Signal Corruptions in Voice Recordings For Speech Therapy
KTH, School of Engineering Sciences (SCI).
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0003-2638-6047
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. 386-390Conference 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-295343DOI: 10.1109/ICASSP39728.2021.9414383ISI: 000704288400078Scopus ID: 2-s2.0-85115053568OAI: oai:DiVA.org:kth-295343DiVA, 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: 2022-06-25Bibliographically approved

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Publisher's full textScopushttps://ieeexplore.ieee.org/document/9414383/

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Nylén, HelmerChatterjee, SaikatTernström, Sten

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School of Engineering Sciences (SCI)Information Science and EngineeringSpeech, Music and Hearing, TMH
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