@InProceedings{Grawunder2026_1298,
<br/>   author = {Sven Grawunder and Ute Gradmann},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2026, Tagungsband der 37. Konferenz},
<br/>   title = {Assessing Speaking Modes in Radio News Using Topic Classification and Acoustic Parameters},
<br/>   year = {2026},
<br/>   editor = {Günther Wirsching},
<br/>   month = mar,
<br/>   pages = {216--223},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {This study investigates an approach to the automatic classification of speaking modes in German radio news. Based on a large, manually annotated corpus of broadcast news, we combine acoustic analysis, text-based methods, and positional metadata to characterize and distinguish news modes. Acoustic parameters, lexical distributions, and normalized segment positions are analyzed separately and jointly. A supervised machine learning model integrating these features achieves nearly 90% classification accuracy across most modes. An ablation study highlights the relative contribution of textual, acoustic, and positional features. The results demonstrate the viability of transparent, multimodal approaches for speaking-mode classification in broadcast news.},
<br/>   isbn = {978-3-95908-834-3},
<br/>   issn = {0940-6832},
<br/>   keywords = {Posters},
<br/>   url = {https://www.essv.de/pdf/2026_216_223.pdf},
<br/>}