An analysis of prosodic boundary detection in German and Austrian German read speech
Schuppler B, Ludusan B (2020)
In: Proceedings. 10th International Conference on Speech Prosody 2020. 25-28 May 2020, Tokyo, Japan . ISCA: 990-994.
Konferenzbeitrag
| Veröffentlicht | Englisch
Download
SP2020_prosodic_boundary_detection.pdf
453.87 KB
Autor*in
Schuppler, Barbara;
Ludusan, BogdanUniBi
Einrichtung
Abstract / Bemerkung
With speech annotation being one of the most time-consuming and costly aspects of speech corpora development, there is a significant interest in the development of automatic annotation tools. The present study focuses on variant-independent prosodic boundary annotations for German. We test a previously proposed unsupervised approach, which posits prosodic boundaries based only on acoustic cues. The experiments were conducted on read speech from two corpora, one of Standard German, the Kiel Corpus of Spoken German, and the other of Austrian German, the Graz Corpus of Read and Spontaneous Speech. Averaging across all speakers in the dataset, the tool attained an area under the precision-recall curve of 0.308 and 0.215, for the Kiel corpus and the GRASS corpus, respectively. The significant differences obtained in detection across the two varieties were accompanied by large differences between speakers, as well. This was confirmed by a subsequent analysis of the acoustic cues employed in the process, which showed important differences in the way speakers make use of those cues for marking prosodic structure. We discuss these findings with respect to the current literature and their implication for variant-independent automatic annotation.
Stichworte
biphonetics
Erscheinungsjahr
2020
Titel des Konferenzbandes
Proceedings. 10th International Conference on Speech Prosody 2020. 25-28 May 2020, Tokyo, Japan
Seite(n)
990 - 994
Urheberrecht / Lizenzen
Page URI
https://pub.uni-bielefeld.de/record/2943661
Zitieren
Schuppler B, Ludusan B. An analysis of prosodic boundary detection in German and Austrian German read speech. In: Proceedings. 10th International Conference on Speech Prosody 2020. 25-28 May 2020, Tokyo, Japan . ISCA; 2020: 990-994.
Schuppler, B., & Ludusan, B. (2020). An analysis of prosodic boundary detection in German and Austrian German read speech. Proceedings. 10th International Conference on Speech Prosody 2020. 25-28 May 2020, Tokyo, Japan , 990-994. ISCA. https://doi.org/10.21437/speechprosody.2020-202
Schuppler, Barbara, and Ludusan, Bogdan. 2020. “An analysis of prosodic boundary detection in German and Austrian German read speech”. In Proceedings. 10th International Conference on Speech Prosody 2020. 25-28 May 2020, Tokyo, Japan , 990-994. ISCA.
Schuppler, B., and Ludusan, B. (2020). “An analysis of prosodic boundary detection in German and Austrian German read speech” in Proceedings. 10th International Conference on Speech Prosody 2020. 25-28 May 2020, Tokyo, Japan (ISCA), 990-994.
Schuppler, B., & Ludusan, B., 2020. An analysis of prosodic boundary detection in German and Austrian German read speech. In Proceedings. 10th International Conference on Speech Prosody 2020. 25-28 May 2020, Tokyo, Japan . ISCA, pp. 990-994.
B. Schuppler and B. Ludusan, “An analysis of prosodic boundary detection in German and Austrian German read speech”, Proceedings. 10th International Conference on Speech Prosody 2020. 25-28 May 2020, Tokyo, Japan , ISCA, 2020, pp.990-994.
Schuppler, B., Ludusan, B.: An analysis of prosodic boundary detection in German and Austrian German read speech. Proceedings. 10th International Conference on Speech Prosody 2020. 25-28 May 2020, Tokyo, Japan . p. 990-994. ISCA (2020).
Schuppler, Barbara, and Ludusan, Bogdan. “An analysis of prosodic boundary detection in German and Austrian German read speech”. Proceedings. 10th International Conference on Speech Prosody 2020. 25-28 May 2020, Tokyo, Japan . ISCA, 2020. 990-994.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Name
SP2020_prosodic_boundary_detection.pdf
453.87 KB
Access Level
Open Access
Zuletzt Hochgeladen
2020-05-27T10:30:51Z
MD5 Prüfsumme
bdbac2542996536fd9afdf7c8f1763b9