archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

Scaling Linguistic Diversity for Speech Research with Massively Multilingual Speech Corpora - Eleanor Chodroff (University of Zürich)

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Dates
2025-07-15 16:00 - 17:30

Archimedes NLP Theme Meeting:Invited talkTuesday 15July, 16:00-17:30 (Greek time)

Speaker: Eleanor Chodroff (https://www.eleanorchodroff.com/)

Title: "Scaling linguistic diversity for speech research with massively multilingual speech corpora"

Room: Amphitheater, Archimedes Unit (1 Artemidos str., ART1 building, ground floor)

and virtually via Microsoft Teams (meeting information shown below).

Dial-in information is not available for this meeting.

Abstract:

In recent years, the availability of large-scale, crosslinguistic speech corpora has grown significantly, opening up new opportunities for investigating crosslinguistic speech variation and phonetic typology. In this talk, I will present recent advancements in the development of these corpora, focusing on methodologies for annotating speech data from both low- and high-resource languages. I will discuss the challenges involved in processing diverse linguistic data, and share best practices for forced alignment and analysis. Additionally, I will highlight the empirical insights these corpora provide into phonetic diversity across languages with a focus on intrinsic vowel f0 and duration. Through these case studies, I will demonstrate how these resources are reshaping our understanding of phonetic variation and enabling new interdisciplinary research in phonetics, language typology, and speech technology.

About the speaker:

Eleanor Chodroff is an SNF Assistant Professor in the Department of Computational Linguistics at the University of Zürich. Her research focuses on the phonetics–phonology interface, cross-talker and cross-linguistic phonetic variation, speech prosody, and speech perception. A recurring theme in her research is the use of large spoken corpora and tools from speech technology to advance linguistic theory.

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If you are an AI researcher or practitioner, please consider becoming a member of the Hellenic Artificial Intelligence Society (EETN, http://www.eetn.gr/en/).

 

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Meeting ID: 326 627 431 130 3
Passcode: SY9f3iR2
 
 

Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Research Unit of the Athena Research Center, Greece, is featured in a recent article in Dnews. This article is about an Archimedes flagship project in cardiology and AI that aims to use "two-dimensional echocardiographic data to develop deep learning tools and improve the treatment of heart problems."

Best Paper Award at FAIEMA 202

Best Paper Award at FAIEMA 202

Vasileios Moustakas, PhD student at the School of Electrical and Computer Engineering - NTUA and Academic Fellow at Archimedes, Athena Research Center, Greece, Konstantinos Cheliotis and Anna Mylona, both MEng students at the School of Electrical and Computer Engineering - NTUA and interns at Archimedes, Athena Research Center, Vassilis Alimisis, Postdoctoral Researcher at Archimedes, Athena Research Center, and Paul Sotiriadis, Lead Researcher at Archimedes, Athena Research Center, and a Professor at the School of Electrical and Computer Engineering - NTUA, received the Best Paper Award (PhD Symposium) at the

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Giorgos Papanastasiou, Lead Researcher at the Archimedes Research Unit of the Athena Research Center, Greece,and Faculty Research Fellow at Edinburgh Imaging, at the University of Edinburgh, the Queen’s Medical Research Institute, Edinburgh, UK, has co-published a Nature Communications paper on "Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank."Prof. Papanastasiou mentions that "this project is a strong testament to the power of augmenting biological research with advanced AI and data science methods."

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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