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Univ.-Prof. Dr. Kevin Tang Profile
Univ.-Prof. Dr. Kevin Tang

@tang_kevin

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Univ.-Prof. @HHU_de Courtesy Asst. Prof. @UFLinguistics: Director @SLaMLab_HHU PostDoc @YaleLinguistics PhD @LinguisticsUCL MEng @Cambridge_Eng #CompLing #NLP

Düsseldorf, Germany
Joined April 2010
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
3 months
🚨 New Paper Alert 🚨 🗣️ 📄 "How does a credible voice sound?" in the Journal of Acoustical Society of America @acousticsorg, featured on the cover of the May issue!.🔗 Read the paper here ( #VoicePerception #Credibility #Acoustics #SpeechScience🧵1/5
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
3 months
These insights enhance our understanding of how acoustic cues influence the perception of credibility in speech. They have potential applications in communication strategies🗣️, media presentations 🎥, and the development of AI voice systems🤖💬. #CommunicationResearch 🧵5/5.
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
3 months
Key findings: Credible speech shows 🎤 higher energy (MFCC1) and 🗣️ faster rates than neutral. Irony features 🗣️ faster rates and higher spectral centroid. 👩‍🦰Gender differences in irony: women speak faster, men use higher pitch. 🧵4/5.
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
3 months
We analyzed acoustic features distinguishing credible, neutral & ironic speech using a German corpus by amateur speakers. A machine-learning-based multinomial logistic regression with recursive feature elimination identified key features linked to perceived credibility. 🧵3/5.
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
3 months
This is the first publication from the collaboration between my lab @SLaMLab_HHU ( at @HHU_de .and the Institute of Sound and Vibration Engineering, Hochschule Düsseldorf .with Prof. Dr. Jochen Steffens, Patrick Blättermann and Maximilian Sattler. 🧵2/5.
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
11 months
RT @SLaMLab_HHU: 🚨New article alert for phonologists and phoneticians! Check out "A unified model of lenition as modulation reduction: gaug….
cambridge.org
A unified model of lenition as modulation reduction: gauging consonant strength in Ibibio - Volume 40 Issue 1-2
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SLaMLab_HHU: 📍Schadowplatz und im Haus der Universität 🛜 @HHU_de.Organization Team: Dalia Rodrigues, Vittorio C….
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SLaMLab_HHU: Habt ihr euch schon einmal gefragt, wie Sprache Einblicke in Gesundheit, Gesellschaft oder politische Einstellungen geben….
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SLaMLab_HHU: Das Speech, Lexicon and Modeling Lab (@SLaMLab_HHU,@tang_kevin) lädt euch ein, spannende Einblicke in die Welt der Sprach….
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @ASA_JASA: Could computational methods like Phonet be used as an additional or alternative method of lenition measurement? https://t.co/….
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SLaMLab_HHU: At @ISCAInterspeech? Do check out our work tomorrow at 11:20 on modeling probabilistic reduction across linguistic domain….
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SLaMLab_HHU: Lastly 🛠️ we’ve made Phonet more accessible by releasing the trained Spanish Phonet model and a step-by-step pipeline for….
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osf.io
This repository supports a submitted manuscript to JASA. It contains two components: 1) Data analyses and 2) Models Hosted on the Open Science Framework
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SLaMLab_HHU: 🎯 This study highlights the effectiveness of using neural network that is phonologically informed as an alternative or sup….
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SLaMLab_HHU: 🔄 While traditional acoustic metrics gave mixed and inconsistent results, Phonet's measures shined! 🥇🌟 Sonorant and contin….
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SLaMLab_HHU: 🔍 We compared three acoustic measures:.1⃣ Min & Max Intensity Velocity 📈 (Kingston 2008).2⃣ Duration ⏳.3⃣ Neural network (….
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SLaMLab_HHU: 🚀 Our new publication in @ASA_JASA evaluated the consistency of lenition (consonant weakening) measures, focusing on voice….
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pubs.aip.org
Predictions of gradient degree of lenition of voiceless and voiced stops in a corpus of Argentine Spanish are evaluated using three acoustic measures (minimum a
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @ASA_POMA: This study investigated the effects of Parkinson's disease and various linguistic factors on the degree of lenition in Spanis….
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SLaMLab_HHU: Linguists at @HHU_de (@IL_hhu @SLaMLab_HHU) are well-represented at #LabPhon19 in Seoul, Korea: @BraveMoneyLute, @tang_kev….
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@tang_kevin
Univ.-Prof. Dr. Kevin Tang
1 year
RT @SeLL_hhu: Diese Gesichter feiern wir heute beim #hhuTagderLehre! 44 Lehrende der @hhu_de, die sich ganz besonders engagieren und für de….
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