This repository contains code and sample sentences annotated with thematicity to reproduce our demonstration in [1]. Further information on the methodology to derive SSML tags from thematicity spans can be found in the references below.
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The script them2ssml.py converts a txt file annotated with thematicity to SSML prosody tags. To run the script simply execute it using the command: python them2ssml.py "yourpath"/sentences.txt > "yourpath"/"yourResultFilename".txt
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The file sentences.txt contains some sample sentences in order to reproduce the demonstration presented in [1]
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If you use this software, data or modify the code please cite the following publication:
- [1] Domínguez, M., M. Farrús, and L. Wanner (2017). A Thematicity-based Prosody Enrichment Tool for CTS. Accepted in show and tell demonstrations at Interspeech 2017, Stockholm, Sweden.
Further references:
- Domínguez, M., M. Farrús, J. Codina and L. Wanner (2016). Combining acoustic and linguistic features in phrase-oriented prosody prediction. In Proceedings of the 8th International Conference on Speech Prosody, Boston, USA, 2016, pp. 796-800.
- Domínguez, M., M. Farrús, A. Burga, and L. Wanner (2016). Using hierarchical information structure for prosody prediction in content-to-speech applications. In Proceedings of the 8th International Conference on Speech Prosody, Boston, USA, 2016, pp. 1019–1023.