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Extended Abstract: Neural-Network Based Auditory Feedback Modulation in Real-Time

; ; ; ;

In
2025 IEEE International Professional Communication Conference : ProComm 2025 : 20-23 July 2025, Sønderborg, Denmark / IEEE, Seiten/Artikel-Nr: 337-339

Konferenz/Event:2025 IEEE International Professional Communication Conference , Sønderborg , Denmark , ProComm , 2025-07-20 - 2025-07-23

ImpressumPiscataway, NJ : IEEE

Umfang337-339

ISBN979-8-3315-3061-7, 979-8-3315-3062-4, 9798331530617, 9798331530624

Online
DOI: 10.1109/ProComm64814.2025.00071

URL: https://publications.rwth-aachen.de/record/1017157/files/Eikens%20%282025%29%20-%20Neural-network%20based%20auditory%20feedback%20modulation%20in%20real-time.pdf

Einrichtungen

  1. Lehr- und Forschungsgebiet Arbeits- und Ingenieurpsychologie (721220)

Projekte

  1. StUpPD_445-23 - Voice quality alteration: How changing the auditory feedback affects our voice perception and production (EXS-SU-StUpPD_445-23) (EXS-SU-StUpPD_445-23)
  2. ERS Start-Up (EXS) - Start-Up for Juniorprofessor and Postdocs (EXS-SU) (EXS-SU)
  3. EXS - Excellence Strategy (EXS) (EXS)

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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings (After Call)

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105015633817
WOS Core Collection: WOS:001569426200064

Interne Identnummern
RWTH-2025-07166
Datensatz-ID: 1017157

Beteiligte Länder
Germany

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Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Arts and Humanities (Fac.7)
Documents in print
Public records
721220
 Record created 2025-08-22, last modified 2026-02-24
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