
Research assistant @DondersInst / @Radboud_Uni. Formerly @LstSaar / @Saar_Uni. Interested in 🗣🫁🙅🙆🙋
Saarbrücken
Joined October 2020
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Raphael Werner retweeted
Great news - blue sky 🦋 is now open to the public- no more invites needed to join! Come join the growing scientific community there bsky.social/about/blog/02-06…
Raphael Werner retweeted
Our paper is out, where we looked at breathing and speech (f0) adaptation! Open access of course :)
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Raphael Werner retweeted
📢Join the @LPP_Paris! We are hiring a postdoc within our INSPECT project on “Aging and Speech Motor Control” (@AgenceRecherche; PI: @dejliglejlighed) to start in March 2024 (for two years). More info on: shorturl.at/nuH67. @CNRS, @CNRSshs, @LabexEFL, @Sorbonne_Nvelle
My dissertation "The phonetics of speech breathing : pauses, physiology, acoustics, and perception" has been published and is available as open access via dx.doi.org/10.22028/D291-411… 📖🔓
New work (preprint) with Wim Pouw, @LaraBurchardt, and Luc Selen on vocalization and biomechanical interactions with the whole body: "The human voice aligns with whole-body kinetics" 🗣️🙋♀️🙅♀️🙆♀️
preprint: doi.org/10.1101/2023.11.28.5…
RMarkdown: wimpouw.github.io/kineticsvo…
The human voice aligns with whole-body kinetics biorxiv.org/cgi/content/shor… #biorxiv_neursci
3) We tried to compare real inhalations and model inhalations but there is a myriad of mechanisms that are either hard to model or still un(der)-researched for speech breathing, so there's many interesting things left to do :)
2) Comparing in- vs exhalation spectra in the 3D-printed VT models, airflow direction changes the spectral properties /s ʃ ç i:/, but not the other sounds we investigated.⬅️➡️
The main findings are:
1) The breath noises have several weak peaks that align with resonances found in a very controlled setting where participants inhaled with the VT configuration of a central vowel in doi.org/10.1121/1.5033330
Our paper is out and OA🔓🥳
It's the first description of the spectral characteristics of speech breath noises produced by a large number of speakers. In addition, we modeled in- and exhalations with 3D-printed vocal tract models 🫁
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