Publikation: Language redundancy effects on the prosodic word boundary strength in Standard German
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The Smooth Signal Redundancy hypothesis proposes a complementary relation between language redundancy and acoustic redundancy mediated via prosodic prominence and boundary structure. To test this hypothesis, the current study investigates the effects of lexical frequency on boundary-related segmental (+pause) duration patterns at prosodic word boundaries in Standard German. Results are consistent with predictions made by the Smooth Signal Redundancy hypothesis, showing an inverse correlation between lexical frequency and duration: Word boundary-related target intervals for frequent words were more than 10% shorter than corresponding intervals for infrequent words, and effects on non-boundary related intervals were not significantly different for frequent vs. infrequent words. These effects suggest a preference for producing stronger prosodic boundaries in case of low language redundancy. The effects appear to be stable across varying speech tempo by different speakers and targets, even when the factor of speech tempo is controlled for. This is consistent with the view that speech tempo, as a global factor that modulates the overall utterance, does not interfere with the localized acoustic redundancy.
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ZHAO, Tianyi, Tina BÖGEL, Alice TURK, Ricardo Napoleão de SOUZA, 2024. Language redundancy effects on the prosodic word boundary strength in Standard German. Speech Prosody 2024 (SP2024). Leiden, The Netherlands, 2. Juli 2024 - 5. Juli 2024. In: CHEN, Yiya, Hrsg., Aoju CHEN, Hrsg., Amalia ARVANITI, Hrsg.. Proceedings of Speech Prosody 2024. ISCA, 2024, S. 1085-1089. eISSN 2333-2042. Verfügbar unter: doi: 10.21437/speechprosody.2024-219BibTex
@inproceedings{Zhao2024-07-02Langu-71189, year={2024}, doi={10.21437/speechprosody.2024-219}, title={Language redundancy effects on the prosodic word boundary strength in Standard German}, publisher={ISCA}, booktitle={Proceedings of Speech Prosody 2024}, pages={1085--1089}, editor={Chen, Yiya and Chen, Aoju and Arvaniti, Amalia}, author={Zhao, Tianyi and Bögel, Tina and Turk, Alice and Souza, Ricardo Napoleão de} }
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