جستجوی استاد راهنمای دانشگاهی

Santiago Barreda is an Associate Professor in the Department of Linguistics at the University of California, Davis, specializing in speech perception and phonetic analysis. His research examines how acoustic properties of speech convey speaker characteristics including age, gender, and physical attributes. Education: Ph.D. in Linguistics (Phonetics), University of Alberta, 2013 M.A. in Hispanic Studies (Language and Linguistics), University of Western Ontario, 2008 B.A. in Linguistics and Spanish Language and Literature, University of Western Ontario, 2006 Research Focus: Dr. Barreda employs behavioral experiments and statistical modeling to investigate perceptual mechanisms in speech recognition. His work bridges theoretical phonetics with practical applications, particularly in vowel normalization techniques and formant tracking algorithms. Key questions address how listeners extract speaker identity from acoustic cues and interpret social characteristics through vocal signals. Publication Trends: Recent publications (2020-2025) reveal three dominant themes: computational phonetic tools (FastTrack, phonTools), perception of social/physical speaker characteristics from children's voices, and interdisciplinary public health research on speech-related aerosol transmission. His work demonstrates strong methodological consistency in combining acoustic analysis with perceptual validation. Scientific Awards: No scientific awards were mentioned in the source material. Advising and Grants: The provided documentation does not specify graduate student advising roles or external grant funding. Technical Contributions: Dr. Barreda develops open-source phonetic analysis software including FastTrack (Praat-based formant tracking) and the phonTools R package, which have become standard resources in acoustic phonetic research.

• Speech Perception
• Phonetics
• Acoustic Phonetics
• +۴ مورد دیگر

Felicitas Kleber is Professor of Speech Science in the Department of Language Science and Technology at Saarland University (Universität des Saarlandes). Her research profile demonstrates extensive expertise in experimental phonetics and laboratory phonology with a particular focus on German dialects and sound change phenomena. She maintains active research collaborations, most notably with J. Harrington and Ulrich Reubold, resulting in numerous high-impact publications in leading linguistics and phonetics journals. Her research interests span experimental phonetics and laboratory phonology with specific expertise in speech production and perception , sound change processes, German dialectology , phonological acquisition , and prosody and intonation analysis. Her work frequently examines the acoustic, perceptual, and articulatory dimensions of speech, particularly focusing on vowel and consonant quantity phenomena in German varieties. Analysis of her publication record reveals consistent methodological rigor with emphasis on acoustic analysis, perception experiments, and longitudinal studies. Her research often investigates sound changes in progress, particularly examining vowel fronting phenomena in both German and English varieties, and the relationship between speech production and perception mechanisms. Much of her work employs apparent-time analyses to track diachronic changes through synchronic variation across age groups. Professor Kleber serves as an Associate editor for the Journal of the Acoustical Society of America, reflecting her standing in the field. She has secured significant research funding including the DFG-funded project "Typology of vowel and consonant quantity in South German varieties: acoustic, auditory, and articulatory analyses of adult and child speakers" (2016-2024) and the DAAD-supported "Form and function of prosodic structure in Hungarian and German" (2015-2016). Her research methodology typically combines acoustic analysis with perception experiments and sometimes articulatory measurements to provide comprehensive insights into phonetic phenomena.

• experimental phonetics
• laboratory phonology
• speech production and perception
• +۷ مورد دیگر

Paavo Alku is a Professor of Speech Communication Technology at Aalto University's Department of Information and Communications Engineering. With academic credentials from Helsinki University of Technology (M.Sc. 1986, Lic.Tech. 1988, Dr.Sc.Tech. 1992), he has held academic positions at Asian Institute of Technology (1993) and University of Turku (1994-1999). Current research focuses on speech production analysis, parametric speech synthesis, and speech-based biomarkers for health monitoring Actively develops machine learning models for voice disorder detection and Parkinson's disease classification Principal investigator for projects including SymptoSonic (2024-2025) and HEART (2020-2024) His recent publications emphasize: Wavelet scattering for neurological speech analysis Fisher vector representations in voice disorder classification Machine learning approaches to vocal intensity categorization Respiratory aerosol emission during speech production Formant tracking through hybrid neural network/LP methods Awarded: IEEE Fellow (2020) Academy Professor (2015-2019) Multiple best student paper awards at ICASSP and Interspeech

• Speech Communication Technology
• Speech Signal Processing
• Machine Learning Applications in Speech Analysis
• +۳ مورد دیگر

Lya Meister is a Research Fellow at Tallinn University of Technology's School of Information Technologies, Department of Software Science. She has held this position since 2017, continuing her career from the Institute of Cybernetics at TUT where she served as a Research Fellow (2009–2016) and Extraordinary Research Fellow (2005–2008). Her academic background includes a Doctor's Degree in 2011 (University of Tartu) and a Research Master's Degree in 2005 (Tallinn University). Education: PhD: University of Tartu, 2005–2011 Master's: Tallinn Pedagogical University, Estonian Philology, 2002–2005 Bachelor's: Tallinn Pedagogical University, Russian Philology, 1975–1979 Her research focuses on experimental phonetics, speech corpora analysis, and the acoustic characteristics of speech production. Notable projects include the Improving the intelligibility of sung text (2022–2026) and contributions to the Estonian Elderly Speech Corpus. She has organized major conferences like the Phonetics Symposium 2024 and served on international committees for speech technology initiatives. Her awards include the 2023 School of Information Technologies Paper of the Year and the 2012 Best Paper Award from the Institute of Cybernetics. Her work spans over 68 publications, with recent emphasis on plosive closure duration in singing, vowel-consonant intensity ratios, and developmental phonetic changes in adolescents.

• Speech analysis
• Experimental phonetics
• Foreign accent
• +۳ مورد دیگر

Joey Stanley is an Assistant Professor in the Department of Linguistics at Brigham Young University, part of the College of Humanities. He specializes in sociophonetics, dialectology, and quantitative methods, with a regional focus on English in the western and southern United States, particularly Utah English and Southern American English. His research involves extensive analysis of speech data, including a major project on 750 interviews from Heber City, Utah, and a multi-generational study of Southern American English. He collaborates widely with students and faculty, using crowdsourced data and advanced statistical techniques to explore regional linguistic variation. Ph.D., Linguistics, University of Georgia (2020) BA, Linguistics and Linguistics Computing, Brigham Young University (2013) His research interests center on language variation and change, with strong emphasis on sociophonetic methodology and empirical data analysis. He frequently integrates computational tools and large datasets to study phonetic and grammatical patterns across speech communities. His work bridges theoretical linguistics with real-world sociocultural contexts, especially within religious and rural communities. The 15 most recent publications reflect a consistent focus on regional dialects, particularly Utah and Southern American English, using quantitative and acoustic methods. Key themes include generational language change, speaker identity, phonetic variation, and methodological innovation in sociophonetics. Collaborative work with students and colleagues spans corpus analysis, fieldwork, and computational modeling. Professional memberships include: American Dialect Society (2016–Present) Linguistics Society of America (2012–Present) Joey Stanley actively advises students, as seen in numerous co-authored publications. He teaches courses in sociolinguistics, phonetics, and research methods, often developing specialized topics like sociophonetics and fieldwork. He is involved in multiple research grants and collaborative projects, though specific funding sources are not listed in the text. His work contributes significantly to the documentation and analysis of understudied American English dialects. He leads or participates in research teams analyzing historical speech archives and contemporary language use, particularly within the Latter-day Saint community and the American South. These teams often include undergraduate and graduate researchers, fostering a strong mentoring environment.

• Sociophonetics
• Dialectology
• Quantitative Methods in Linguistics
• +۷ مورد دیگر

Gisela Tomé Lourido is an Associate Professor in Sociophonetics in the Department of Linguistics and Phonetics at the University of Leeds, within the Faculty of Arts, Humanities and Cultures. She is also the Director of Language@Leeds and co-leads the Embracing Linguistic Diversity satellite, an initiative focused on reducing language-based prejudices and promoting linguistic inclusivity in higher education and beyond. Education: PhD in Speech, Hearing and Phonetic Sciences, University College London (UCL) MA in Phonetics, University College London (UCL) Postgraduate Certificate in Education (Mestrado Universitario en Profesorado), Universidade da Coruña BA in English Studies (Filoloxía Inglesa), Universidade da Coruña Her research centers on accent variation, accent bias, and inequalities in both monolingual and bilingual populations. She uses phonetic methods, perception tasks, and eye-tracking to examine sociolinguistic awareness, bilingual speech processing, and the acquisition of sociophonetic variation, with a particular focus on Galician-English and Galician-Spanish bilingualism. She also contributes to the documentation of endangered Modern South Arabian languages such as Mehri and Shehret. Her recent publications reflect a strong interdisciplinary approach, combining theoretical linguistics with social justice concerns in education and public policy. The trends in her recent publications highlight a sustained focus on sociophonetics, bilingualism, and accent perception. Her work spans experimental phonetics, child language development, and policy-oriented research, with increasing attention to institutional practices in higher education. She frequently employs eye-tracking and acoustic analysis to study speech processing and perception, and her collaborations extend across institutions in the UK and internationally. Scientific Awards: No awards explicitly mentioned in the provided text. Dr. Tomé Lourido supervises PhD students, including Mian Feng, and welcomes new applicants in her areas of expertise. She has secured funding from the Leverhulme Trust and the Michael Beverley Innovation Fellowship for her research. Her leadership roles in Language@Leeds and the Embracing Linguistic Diversity initiative reflect her commitment to translating research into institutional change. She teaches phonetics and sociophonetics at both undergraduate and postgraduate levels. She is actively involved in research groups such as the Centre for Endangered Languages, Cultures and Ecosystems and the Language@Leeds network. Her work is disseminated through journals like Journal of Semitic Studies , Languages , Phonetica , and Bilingualism: Language and Cognition , as well as through public engagement and policy recommendations like the Accent Equality Statement.

• Sociophonetics
• Accent Bias and Inequalities
• Bilingualism
• +۷ مورد دیگر

Asif Salekin is an Assistant Professor at Arizona State University's School of Biological and Health Systems Engineering (SBHSE), where he directs the Laboratory for Ubiquitous and Intelligent Sensing (UIS Lab). He holds additional affiliations with the School of Medicine and Advanced Medical Engineering, serves as a Research Affiliate at the Mayo Clinic, and maintains affiliations with SUNY Upstate Medical University and Syracuse University. Having joined ASU as a tenure-track Assistant Professor in August 2024, he previously served as an Assistant Professor at Syracuse University from 2020-2024. His research spans Human-Centered Computing, Machine Learning, Cyber-Physical Systems, and Usable Sensing Security and Privacy within Ubiquitous Computing, with a core focus on integrating computing solutions to advance health assessment and monitoring. His work addresses natural distribution shifts in human-centered applications, algorithmic fairness and bias mitigation, multimodal integration, interpretability of ML inference in healthcare, scalable edge computing solutions, trustworthiness in human-centered sensing, and security and privacy challenges in IoT applications. His publications demonstrate a strong trend toward health-focused applications of ubiquitous computing, particularly in mental health assessment, substance use disorder monitoring, childhood speech disorders, and chronic disease management. His recent work shows increasing emphasis on robustness, fairness, and privacy in human-centered AI systems, with significant contributions to stress detection, emotion privacy protection, and reliable health monitoring solutions. IAAI Deployed Application Award (2021) Graduate Student Award for Outstanding Research (UVA CS Department, 2018) Nominated for Best Paper Award (AsthmaGuide, Wireless Health 2016) CUSE Grant: Innovative & Interdisciplinary Research Grant (Syracuse University, 2021) Dr. Salekin actively advises multiple PhD students in Computer Science and Biomedical Engineering programs, with several successful doctoral graduates. His research has been funded by two National Science Foundation grants and three National Institutes of Health grants. He currently serves as an Associate Editor for the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) and the UbiComp conference. His work spans multiple labs and collaborative teams including the UIS Lab at ASU, Mayo Clinic research teams, and collaborations with medical professionals at SUNY Upstate Medical University.

• Human-Centered Computing
• Machine Learning
• Cyber-Physical Systems
• +۱۲ مورد دیگر

Dr. Varghese Peter is a Lecturer in Psychology at the University of the Sunshine Coast's School of Health. He holds a PhD from Macquarie University and degrees from the University of Mysore in India. His research focuses on speech perception and language development in infants/children, auditory cognition, and neural oscillations in speech processing. Dr. Peter uses EEG, psychophysics, and linear neural encoding models to investigate how environmental and genetic factors influence language acquisition. He has held academic positions at Western Sydney University and Macquarie University. Education : PhD (Macquarie University), MSc (University of Mysore), BSc (University of Mysore) Affiliations : School of Health, Discipline of Psychology His research explores topics such as maternal input quality, bilingualism, and genetic risks (e.g., dyslexia) on speech development. He also studies auditory perception impairments in conditions like dyslexia and hearing loss. Dr. Peter has secured research grants including the $495,500 'Perceptual and cognitive optimisation of visual augmented reality displays' and the $20,000 'Effect of age and background noise on cortical EEG entrainment to natural conversation'. Awards : Vice Chancellors Excellence in Research Interdisciplinary Group Award (2020) Director of Research Award for Team Research (2019) Society for Neurobiology of Language Travel Award (2009) Teaching areas include Introduction to Psychology and Personality Assessment. His work bridges developmental neuroscience and clinical applications, with recent publications focusing on cortical entrainment in dyslexia and neural mechanisms of speech perception in infants.

• Speech Perception
• Language Development
• Auditory Cognition
• +۳ مورد دیگر

Vladimir Goncharoff is a Lecturer in the Department of Electrical and Computer Engineering at the University of Illinois at Chicago (UIC). His educational background includes a Ph.D. and M.Sc. in Electrical Engineering from Northwestern University (1983, 1980), a B.Sc. in Electrical Engineering from UIC (1979), and an Associate of Science from William Rainey Harper College (1976). His research focuses on: Analog/Digital Signal Processing : Speech enhancement, spectral analysis, pitch detection, and watermark recovery. Radio Frequency Circuits : Design principles, educational methodologies, and practical applications. Acoustic Systems : Biomedical acoustics and voice communication technologies. Goncharoff's publications emphasize speech algorithms, RF circuit education, and signal reconstruction. Recent works transition toward pedagogical materials, including textbooks on radio frequency circuits (2015–2016) and signal processing (2018). Awards & Honors: UIC Silver Circle Award for Excellence in Teaching (1988, 2000, 2003, 2006, 2009) UIC College of Engineering Harold Simon Award (1985) No information is available regarding grants, student advising, or laboratory affiliations.

• Signal Processing
• Radio Communication
• Speech Analysis
• +۲ مورد دیگر

Junior-Prof. Dr. Katharina Zahner-Ritter is Junior Professor for General and Applied Phonetics at the University of Trier, where she has directed the Phonetics Department since 2021 and co-speaks the Trier Center for Language and Communication. She earned her doctorate (summa cum laude) from the University of Konstanz in 2019 and subsequently worked as a post-doc in the DFG-funded project "Questions at the Interfaces". Research interests revolve around the production and perception of prosody, cross-linguistic comparison of prosody and meaning, early phonological acquisition, second-language prosodic transfer, and human/child-computer interaction. She employs experimental techniques such as eye-tracking, infant looking-time paradigms, forced-choice perception tests, and advanced statistical modelling (GAMMs). Her recent articles (2020-2024) reveal a strong focus on how intonation marks rhetorical vs. information-seeking questions in German, Mandarin, and other languages, how L1 tone experience shapes L2 pitch-accent learning, and how regional accent variation affects the processing of irony and focus. Interdisciplinary work extends to dog-directed speech, voice-assistant interaction, and active-learning algorithms for stimulus selection. She currently teaches statistics for phoneticians, instrumental phonetics, Swiss-German phonetics, and language-acquisition phonetics at BA and MA level, and welcomes student thesis projects in her BabyLab and adult-experiment labs.

• Phonetics
• Prosody
• Language Acquisition
• +۳ مورد دیگر

Florian Schiel is a Professor and senior researcher at the Ludwig-Maximilians-Universität München's Institute of Phonetics and Speech Processing. He holds the chair of Phonetic Speech Processing and leads research in speech technology, forensic phonetics, and sound change modeling. Previously, he directed the Bavarian Archive for Speech Signals (BAS) from 1996 to 2010 and founded BAS Services Schiel in 2005. He earned his habilitation in 2001, focusing on the interplay between speech technology and phonology. Education: Dipl.-Ing and Dr.-Ing (Electrical Engineering, TU Munich, 1990 and 1993); Habilitation (Philosophical Faculty, LMU, 2001) Key Projects: VERBMOBIL, SmartKom, BITS, SmartWeb; Agent-Based Modeling of Sound Change His research interests include speech corpus production, forensic phonetics, and analyzing large-scale speech data. He has supervised numerous PhD students and contributed to the Alcohol Language Corpus (ALC) and the MAUS phonetic segmentation tool.

• Speech Processing
• Forensic Phonetics
• Speech Recognition
• +۴ مورد دیگر

Vass Verkhodanova is a Lecturer at the University of Groningen's Campus Fryslân, affiliated with the Language Technology and Culture (LTC) department. Her research focuses on phonetics, speech prosody, and Parkinson's disease speech analysis. She completed her PhD in 2021 with the thesis titled More than words: Recognizing speech of people with Parkinson's disease . Her work spans cross-linguistic studies of speech healthiness, dysarthric speech recognition, and perceptual effects of expertise. Recent publications (2024-2017) emphasize Dutch dysarthric speech recognition strategies, prosodic changes in Parkinson's patients, and vowel articulation in multilingual contexts. Key contributions include developing machine learning approaches for speaker-specific speech recognition and analyzing acoustic correlates of Parkinson's-related speech disorders. Media engagements highlight her work on speech technology for Parkinson's detection.

• Phonetics
• Phonology
• Speech Prosody
• +۳ مورد دیگر

Dr. Cong Zhang is a Lecturer in Phonetics and Phonology at the School of Education, Communication and Language Sciences, Newcastle University, where he also serves as the Academic Lead for Student Employability and Enterprise. Previously, he held positions as a Postdoctoral Research Associate on the ERC project SPRINT at University of Kent (2019-2020) and Radboud University (2020-2022), and worked as a TTS linguist at Rokid Inc. in Beijing. Dr. Zhang's educational background includes: DPhil in General Linguistics and Comparative Philology from University of Oxford (2018), supervised by Professor Aditi Lahiri M.A. with Distinction in Linguistics & Language Acquisition from Newcastle University (2012) B.A. in Translation and Interpreting from Beijing Foreign Studies University (2011) His research primarily focuses on speech prosody, examining intonation, lexical tone, and rhythm across languages. He employs diverse methodologies spanning Phonetics and Phonology (particularly Laboratory Phonology), Psycholinguistics, Computational Linguistics, and Language Acquisition. His work often investigates tonal languages, particularly Mandarin varieties, exploring how sentence-level prosody interacts with word-level prosody. He also maintains research interests in translation and interpreting studies. His recent publications demonstrate a strong emphasis on methodological rigor in phonetic research, with multiple papers comparing recording methods and analytical approaches. He has made significant contributions to understanding citation tone production across languages, prosody in aphasia, and the application of gamification in linguistic data collection. His work bridges theoretical linguistics with practical applications in speech technology and clinical settings, reflecting an interdisciplinary approach that spans computational methods, experimental phonetics, and clinical linguistics. Dr. Zhang's scientific achievements include: Second Prize of Newcastle University's Open Research Awards (2024) Funding from ESRC for Festival of Social Sciences event 'Wey aye, man - Think you know a North-East accent when you hear one?' (2024) Dr. Zhang has been actively involved in knowledge exchange, with his Festival of Social Science event reported by BBC, Mirror, and Chronicle. He has collaborated extensively with researchers across multiple institutions on projects related to speech prosody, including the ERC-funded SPRINT project. His work on remote data collection methods has been particularly timely given the challenges of conducting phonetic research during the pandemic, demonstrating that lossless format phone recordings can be a viable option for certain phonetic studies. His invited talk at HKPU on 'Tonal Tug-of-War: The Interplay of Lexical and Sentence Prosody' further highlights his expertise in this specialized area. Dr. Zhang is affiliated with the LingLab facilities at Newcastle University and contributes to the Children's Speech and Language Clinic. His previous work with the Language and Brain Lab at Oxford and the ERC SPRINT project demonstrate his engagement with interdisciplinary research teams focused on the cognitive and communicative aspects of speech prosody, establishing him as a significant contributor to contemporary phonetic and phonological research.

• Speech Prosody
• Intonation
• Lexical Tone
• +۸ مورد دیگر

Dani Byrd is a Professor of Linguistics at the University of Southern California's Dornsife College of Letters, Arts and Sciences. She has held significant administrative leadership roles including Interim Dean, Executive Vice Dean, and multiple Vice Dean positions focusing on research advancement, faculty affairs, and institutional matters. Her interdisciplinary research bridges linguistics, engineering, and neuroscience to investigate human speech production and articulatory coordination. Byrd earned her PhD in Linguistics from UCLA in 1994 with a dissertation on 'Articulatory Timing in English Consonant Sequences.' She received simultaneous MA and BA degrees from Yale University in 1990, graduating magna cum laude with Distinction in Linguistics. Following her PhD, she completed post-doctoral training at Haskins Laboratories in New Haven, Connecticut. Her research specializes in speech production and articulatory coordination, employing cutting-edge magnetometer and real-time MRI technologies to track vocal tract movements during speech. Byrd's work investigates language production from a dynamical systems perspective, examining how linguistic structures relate to temporal speech realization. She combines theoretical linguistics with experimental speech science to understand the cognitive representation of language through physical production. Byrd's recent publications demonstrate a strong interdisciplinary trajectory, integrating linguistics, neuroscience, and artificial intelligence. Her work increasingly focuses on mental health applications of speech analysis, using AI to detect depression and suicidal ideation from speech and eye movements. She continues advancing vocal tract imaging techniques while expanding into speech foundation models that characterize speaker traits and dialect variations across languages. USC Dornsife Dean's Award for Distinguished Service (2012) Fellow of the Acoustical Society of America (2008) R. Bruce Lindsay Award for scholars under 35 NSF Graduate Fellow (1990-1992) UCLA Graduate Woman of the Year Award (1994) Professor Byrd has chaired or served on numerous PhD thesis committees across Linguistics, Electrical Engineering, and Psychology departments at USC. Her research has been continuously funded for three decades by the National Science Foundation and NIH's National Institute on Deafness and Other Communication Disorders. Current major grants include NSF funding for structured variability in vocal tract articulation dynamics and an IARPA contract for spoken human signal anonymization, totaling over $5 million in active funding. Byrd's research takes place in the Dynamic Imaging Science Center at the USC Michelson Center for Convergent Bioscience. She leads the USC SPAN (Speech Production and Articulation kNowledge) Research Group, which combines real-time MR imaging, linguistic experimentation, and machine learning to advance understanding of spoken language. Her team includes engineers, linguists, and neuroscientists working collaboratively on speech production research.

• Linguistics
• Speech Science
• Phonetics
• +۶ مورد دیگر

Steve Cassidy is an Associate Professor in the School of Computing at Macquarie University. His research focuses on research data discovery, reproducibility, and accessible tools for language sciences. He specializes in linguistic annotation standards, speech analysis technologies, and interoperability infrastructure for human communication science. He holds a PhD in Computer Science from Victoria University of Wellington, an MSc in Knowledge-Based Systems from the University of Edinburgh, and a BSc in Physics with Astrophysics from the University of Leicester. He leads major projects such as FAIMS3 (Field Acquired Information Management Systems) and the Alveo Virtual Laboratory, which support digital data capture and management in diverse research contexts. His work emphasizes FAIR data principles and interdisciplinary collaboration, with applications in linguistics, archaeology, and speech technology. He has contributed to initiatives like the AusTalk corpus and Signbank, advancing open science practices and accessibility in research. Recent research highlights include machine learning models for military performance prediction and temporally rich deep learning approaches for magnetoencephalography analysis. His work has been recognized through awards including the 2024 Teaching Excellence Highly Commendation and the 2023 Inter-School Collaboration Award. Education: PhD in Computer Science (Victoria University of Wellington, 1993) MSc in Knowledge-Based Systems (University of Edinburgh, 1984) BSc in Physics with Astrophysics (University of Leicester, 1983) Postgraduate Certificate in Higher Education (Macquarie University, 2008) Key Projects: FAIMS3: Mobile field data collection platform Alveo Virtual Lab: Linguistic data repository AusTalk Corpus: Large-scale Australian English speech database His publications span machine learning applications, speech technology, and open research infrastructure. He actively collaborates across disciplines to develop tools that enhance reproducibility and accessibility in scientific research.

• Research Data Management
• Linguistic Annotation Standards
• Speech Analysis Technology
• +۳ مورد دیگر