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This is a searchable list of publications of scientists working at or associated with the Institute of Phonetics and Speech Processing. You can choose to sort the list by year or by publication type.

The complete list in BibTeX format can be downloaded here:
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The “Research Reports of the Institute of Phonetics and Speech Communications” (FIPKM, “Forschungseberichte des Instituts für Phonetik und Sprachliche Kommunikation“) were edited and published for 39 volumes until the series was discontinued in 2002. Some of the volumes published between 1996 and 2002 are available online. Others are available in print at request.
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Reference

Cunha, C., Silva, S., Teixeira, A., Oliveira, C., Martins, P., Joseph, A., Frahm, J. (2018). Exploring Advances in Real-time MRI for Studies of European Portuguese. In Proc. IberSPEECH 2018 (pp. 137-141).

BibTeX

@inproceedings{cunhaExploringAdvancesRealtime2018,
  title = {Exploring {{Advances}} in {{Real-time MRI}} for Studies of {{European Portuguese}}},
  booktitle = {Proc. {{IberSPEECH}} 2018},
  author = {Cunha, Concei{\c c}{\~a}o and Silva, Samuel and Teixeira, Ant{\'o}nio and Oliveira, Catarina and Martins, Paula and Joseph, Arun and Frahm, Jens},
  year = {2018},
  pages = {137--141},
  publisher = {ISCA},
  doi = {10.21437/IberSPEECH.2018-29},
  abstract = {Recent advances in real-time magnetic resonance imaging (RT-MRI) for speech studies, providing a considerable increase in time resolution, potentially improve our ability to study the dynamic aspects of speech production. To take advantage of the sheer amount of the resulting data, automated methods can beused to select, process, and analyze the data, and previous work could tackle these challenges for an European Portuguese (EP) corpus acquired at 14 frames per second (fps). Aiming to further explore RT-MRI in the study of the dynamic characteristics of EP sounds, e.g., nasal vowels and diphthongs, we present a novel 50 fps RT-MRI corpus and assess the applicability, in this new context, of our previous proposals for processing and analyzing these data to extract relevant articulatory information. Importantly, at this stage, we were interested in assessing if and to what extent the new data and the proposed methods are able to support and corroborate the articulatory analysis obtained from the previous corpus. Overall, and although this new corpus poses novel challenges, it was possible to process and analyze the 50 fps data. A comparison of automated analysis performed for the same sounds, for both corpora (i.e., 14 fps and 50 fps), yields similar results, corroborating previous results and demonstrating the envisaged replicability. Moreover, we updated the processing in order to be able to analyze dynamic information and provide first insights on the temporal organization of complex sounds such as nasal vowels and diphthongs. Index Terms: speech production, dynamic, real-time magnetic resonance, European Portuguese, processing and analysis.}
}

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