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Swiss Voice App: A smartphone application for crowdsourcing Swiss German dialect data.

, , , , , and . DH, Alliance of Digital Humanities Organizations (ADHO), (2014)

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The recognition of read and spontaneous speech in local vernacular: The case of Zurich German., , and . J. Phonetics, (2015)Listeners use temporal information to identify French- and English-accented speech., , , and . Speech Commun., (2017)Stable and unstable intervals as a basic segmentation procedure of the speech signal., , and . INTERSPEECH, page 31-35. ISCA, (2015)Foreign accent recognition based on temporal information contained in lowpass-filtered speech., , and . INTERSPEECH, page 2175-2179. ISCA, (2014)Speaker idiosyncratic variability of intensity across syllables., and . INTERSPEECH, page 233-237. ISCA, (2014)A Crowdsourcing Smartphone Application for Swiss German: Putting Language Documentation in the Hands of the Users., , , , , , and . LREC, page 3444-3447. European Language Resources Association (ELRA), (2014)Perception of levels of emotion in prosody., , and . ICPhS, University of Glasgow, (2015)Reorganization of the auditory-perceptual space across the human vocal range., and . CoRR, (2023)Voice Äpp: a mobile app for crowdsourcing Swiss German dialect data., , , , , , , , and . INTERSPEECH, page 2804-2808. ISCA, (2015)Fundamental Frequency Accommodation in Multi-Party Human-Robot Game Interactions: The Effect of Winning or Losing., , , and . INTERSPEECH, page 3980-3984. ISCA, (2019)