Summary of the paper

Title Method for Collection of Acted Speech Using Various Situation Scripts
Authors Takahiro Miyajima, Hideaki Kikuchi, Katsuhiko Shirai and Shigeki Okawa
Abstract This study was carried out to improve the quality of acted emotional speech. In the recent paradigm shift in speech collection techniques, methods for the collection of high-quality and spontaneous speech has been strongly focused on. However, such methods involve various constraints: such as the difficulty in controlling utterances and sound quality. Hence, our study daringly focuses on acted speech because of its high operability. In this paper, we propose a new method for speech collection by refining acting scripts. We compared the speech collected using our proposed method and that collected using an imitation of the legacy method that was implemented with traditional basic emotional words. The results show the advantage of our proposed method, i.e., the possibility of the generating high F0 fluctuations in acoustical expressions, which is one of the important features of the expressive speech, while ensuring that there is no decline in the naturalness and other psychological features.
Topics Speech resource/database, Corpus (creation, annotation, etc.), Emotion Recognition/Generation
Full paper Method for Collection of Acted Speech Using Various Situation Scripts
Bibtex @InProceedings{MIYAJIMA12.607,
  author = {Takahiro Miyajima and Hideaki Kikuchi and Katsuhiko Shirai and Shigeki Okawa},
  title = {Method for Collection of Acted Speech Using Various Situation Scripts},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
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