Univ.-Prof. Dr. Kevin Tang
@tang_kevin
Univ.-Prof. @HHU_de Courtesy Asst. Prof. @UFLinguistics: Director @SLaMLab_HHU PostDoc @YaleLinguistics PhD @LinguisticsUCL MEng @Cambridge_Eng #CompLing #NLP
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🚨 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 (doi.org/10.1121/10.003…) #VoicePerception #Credibility #Acoustics #SpeechScience🧵1/5
Safe to say I am late to the academic Twitter world... In that spirit, here is a 'oldie' from 2024 where we first document the length of different types of stutters in a stuttered speech corpus from with with @tang_kevin & @UCL_SpeechResGr doi.org/10.3389/fpsyg.…
🚨New article alert for phonologists and phoneticians! Check out "A unified model of lenition as modulation reduction: gauging consonant strength in Ibibio" by John Harris, Eno-AbasiUrua & @tang_kevin , published in Phonology (2024). doi.org/10.1017/S09526… 🧵[1/4] #Lenition
📍Schadowplatz und im Haus der Universität 🛜 ndw-duesseldorf.de @HHU_de Organization Team: Dalia Rodrigues, Vittorio Ciccarelli, @tang_kevin und @SLaMLab_HHU
Habt ihr euch schon einmal gefragt, wie Sprache Einblicke in Gesundheit, Gesellschaft oder politische Einstellungen geben kann? Und wie Studierende durch ihre eigene Forschung wertvolle Erfahrungen sammeln und neue Fähigkeiten entwickeln? Virtualstand: slam.phil.hhu.de/ndw24/
Das Speech, Lexicon and Modeling Lab (@SLaMLab_HHU,@tang_kevin) lädt euch ein, spannende Einblicke in die Welt der Sprachwissenschaft zu gewinnen! Besucht uns auf der #NachtderWissenschaft am 13.09.24 (Standnummber 9) und entdeckt die faszinierenden Projekte unserer Studierenden
Could computational methods like Phonet be used as an additional or alternative method of lenition measurement? doi.org/10.1121/10.002… #acoustics #speech @tang_kevin,@SLaMLab_HHU @UFLinguistics,@UFCISE @HHU_de
At @ISCAInterspeech? Do check out our work tomorrow at 11:20 on modeling probabilistic reduction across linguistic domains with Naive Discriminative Learning. Work by @_ansost_ based on her BA thesis and @tang_kevin. Paper: doi.org/10.21437/Inter… @UFLinguistics, @HHU_de @IL_hhu
Authors: Kevin Tang @tang_kevin @HHU_de, Ratree Wayland @UFLinguistics, Fenqi Wang @FenqiW @SFULinguistics and Sophia Vellozzi @LinkedIn and Rahul Sengupta @UFCISE Paper: t1p.de/hdami Funded by @NSF (2037266). #NeuralNetworks #Spanish #Weakening #Phonetics 🧵6/6
Lastly 🛠️ we’ve made Phonet more accessible by releasing the trained Spanish Phonet model and a step-by-step pipeline for training and inferring new models. Ready to explore? Link to the tool: doi.org/10.17605/OSF.I… 🌐🔧 #OpenScience #LinguisticsTools 🧵5/6
🎯 This study highlights the effectiveness of using neural network that is phonologically informed as an alternative or supplementary method for measuring lenition. The consistency is promising for future research in speech science and phonological theories! ✨ 🧵4/6
🔄 While traditional acoustic metrics gave mixed and inconsistent results, Phonet's measures shined! 🥇🌟 Sonorant and continuant probabilities aligned with expected lenition patterns, influenced by voicing, articulation, and context. 🔍 #InterpretableAI 🧵3/6
🔍 We compared three acoustic measures: 1⃣ Min & Max Intensity Velocity 📈 (Kingston 2008) 2⃣ Duration ⏳ 3⃣ Neural network (Phonet) measures based on the posterior probabilities of Sonorant & Continuant features 🤖 #MachineLearning 🧵2/6
🚀 Our new publication in @ASA_JASA evaluated the consistency of lenition (consonant weakening) measures, focusing on voiceless and voiced stops in Spanish & pre-released a linguistic toolkit for lenition research 🎙️🧠 #Phonetics #Lenition. pubs.aip.org/asa/jasa/artic… 🧵1/6
This study investigated the effects of Parkinson's disease and various linguistic factors on the degree of lenition in Spanish stops: doi.org/10.1121/2.0001… #acoustics #speech @UFLinguistics @tang_kevin @SLaMLab_HHU @SFULinguistics @UFCISE
Linguists at @HHU_de (@IL_hhu @SLaMLab_HHU) are well-represented at #LabPhon19 in Seoul, Korea: @BraveMoneyLute, @tang_kevin, @_ansost_, @Akhilesh_k_r, @dmncschmtz and @dinahwonders. Together they will present three papers. See links for abstracts! 🧵unroll [1/4]
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