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Prediction of Subjective Listening Effort from Acoustic Data with Non-Intrusive Deep Models.

, , , , and . INTERSPEECH, page 981-985. ISCA, (2018)

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Methodenbanksysteme: Ein Werkzeug zum Maßschneidern von Anwendersoftware., , and . Inform. Spektrum, 2 (4): 194-218 (1979)System R/3. SAP AG, Walldorf, Februar 1996 edition, (1996)Objective Assessment of a Speech Enhancement Scheme with an Automatic Speech Recognition-Based System., , , , , and . ITG Symposium on Speech Communication, page 1-5. VDE / IEEE, (2018)Information Protection by Method Base Systems., and . VLDB, page 420-426. IEEE Computer Society, (1978)Speech Intelligibility Prediction for Hearing-Impaired Listeners with the LEAP Model., , , , , , , and . INTERSPEECH, page 3498-3502. ISCA, (2022)Prediction of Subjective Listening Effort from Acoustic Data with Non-Intrusive Deep Models., , , , and . INTERSPEECH, page 981-985. ISCA, (2018)Das KARAMBA Methodenbanksystem., , and . GI Jahrestagung, volume 19 of Informatik-Fachberichte, page 322-336. Springer, (1979)Aufgaben und Prinzipien der Einbettung vorgefertigter Softwarebausteine in eine Systemumgebung.. GI Jahrestagung, volume 57 of Informatik-Fachberichte, page 234-251. Springer, (1982)A Simulative Study on the Performance of Fast Signaling in a Mobile IPv6-Wireless LAN Based Network Environment., , and . ICMB, page 610-615. IEEE Computer Society, (2005)Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices: Advantages and limitations of existing tools., , , , , , , and . IEEE Signal Process. Mag., 32 (2): 114-124 (2015)