Anupama Chingacham
PhD Candidate(SFB 1102)
Saarland University(UdS)
Spoken Language Systems (LSV)
Chair of Computational Linguistics (CoLi)
Welcome!
Hello there! I am Anupama Chingacham, a doctoral student in the Department of Computer Science at Saarland University, Germany.
In collaboration with my Ph.D. advisors, Prof. Dietrich Klakow and Prof. Vera Demberg, my current research focuses on using paraphrases to improve speech perception in noise.
I am very honored to have received a Best Student Paper Award at INTERSPEECH 2021.
Previously, I did a research internship at Loria (CNRS), obtained an MSc from the University of Lorraine (France) and an MSc from Vellore Institute of Technology (India).
My current research aims to build better solutions for noise-adaptive spoken dialogue systems that are more considerate to the difficulties of human listeners in noisy conditions.
I am also keen on understanding the limits and possibilities of employing Large Language Models (LLMs) to generate text with non-textual attributes (eg: audibility), especially in low-resource settings.
News
- Jan 2024 Invited talk at the 15th Speech in Noise Workshop in Potsdam, Germany.
- Dec 2023 Invited talk at Databases and Information Systems group in IIT Palakkad, India.
- June 2023 Invited talk at EXPRESSION team in IRISA, France.
- Jan 2023 Invited talk at COG-MHEAR team in Edinburgh Napier University, United Kingdom .
- Jan 2023 Poster presentation at IEEE SLT, Qatar.
- Sept 2021 Our work received a Best Student Paper award at Interspeech!!
- Sept 2021 My first paper presentation at Interspeech, Czechia (hybrid).
- Dec 2018 My first poster presentation at CLiC-it, Italy !
Publications
Human Speech Perception in Noise: Can Large Language Models Paraphrase to Improve It? Chingacham, Anupama and Zhang, Miaoran and Demberg, Vera and Klakow, Dietrich To appear in Proceedings of the Human-Centered Large Language Modeling Workshop (HuCLLM @ ACL), 2024
A Data-Driven Investigation of Noise-Adaptive Utterance Generation with Linguistic Modification Chingacham, Anupama and Demberg, Vera and Klakow, Dietrich Ninth IEEE Spoken Language Technology Workshop, 2023
Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors Chingacham, Anupama and Demberg, Vera and Klakow, Dietrich 22nd INTERSPEECH Conference, 2021
Generalizing Representations of Lexical Semantic Relations Chingacham, Anupama and Paperno, Denis Fifth Italian Conference on Computational Linguistics, 2018
Projects
- PiN: Paraphrases in Noise Dataset - annotated with sentence-level intelligibility of sentential-paraphrases in noisy environments.
- SiN: Synonyms in Noise Dataset - annotated with word intelligibility of synonyms in noisy listening setups.
- Relational Representations Python, PyTorch - an extended Skip-gram model to represent semantic relation between two lexical units.
A growing list of my volunteerism
- July 2024 - Present Club VP of Mentoring @ Toastmasters International
- Feb 2023 - Present Member @ Toastmasters International
- Jan 2023 - June 2024 Language teacher @ Malayalam School
- Oct 2021 - Dec 2022 Member @ ISCA-SAC Mentoring Team
- Feb 2019 - June 2022 PhD Representative @ SFB 1102
- Feb 2015 - June 2016 Mentor @ Mentor Together
- Feb 2011 - June 2014 Tutor @ Make A Difference
Experience
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Doctoral studies
University of Saarland, Germany
Oct 2018 - present
Pi-SPIN: Paraphrase to improve Speech Prception in Noise. -
Research Intern
Loria, CNRS, France
Feb 2018 - July 2018
Explored an unsupervised method to represent lexical relations.
Published our findings at CLiC-it conference. -
MSc Natural Language Procesing
Lorraine University, France
Sept 2017 - July 2018
Acquired knowledge on data modeling techniques and its application on NLP problems like for semantic parsing.
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Networking Engineer Consultant
Cisco Systems Pvt Ltd (India)
Sept 2014 - Aug 2017
Automated applications migration plan generation.
Orchetrated application migration for multiple service providers.
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Masters in Software Engineering (5 Year Integrated)
Vellore Institute of Technology, India
2009 - 2014
A recipient of Top 10 Academic Performers award for 4 years.
CGPA: 9.2/10
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