Homepage - Luz Martinez-Lucas

About Me

Position

EE PhD Candidate

University

UT Dallas

Group

MSP Laboratory

Focus

Affective Computing

Hello!

My name is Luz Martinez-Lucas and I am an Electrical Engineering PhD candidate at the University of Texas at Dallas. I work at the Multimodal Signal Processing Laboratory under Dr. Carlos Busso. My focus right now is on affective computing, specifically on dynamic speech emotion recognition.

My research interests include: Speech Emotion Recognition, Time Series Forecasting, Machine Learning, Conversational Speech, Speech Data Collection, and Emotional Annotations.

Contact Me

University Email: Luz.Martinez-Lucas@utdallas.edu

Personal Email: luzmamtzl@hotmail.com

Publications

Journal Articles

L. Martinez-Lucas, A. Salman, S.-G. Leem, W.-S. Chien, S. G. Upadhyay, C.-C. Lee, C. Busso, "Affective Priming in Emotional Annotations and its Effect on Speech Emotion Recognition," in IEEE Transactions on Affective Computing, August 2025, doi: 10.1109/TAFFC.2025.3597034. Abstract Paper

S. G. Upadhyay, L. Martinez-Lucas, W. Katz, C. Busso, and C.-C. Lee, "Phonetically-Anchored Domain Adaptation for Cross-Lingual Speech Emotion Recognition," in IEEE Transactions on Affective Computing, January 2025, doi: 10.1109/TAFFC.2025.3530105. Abstract Paper

L. Martinez-Lucas, W.-C. Lin and C. Busso, "Analyzing Continuous-Time and Sentence-Level Annotations for Speech Emotion Recognition," in IEEE Transactions on Affective Computing, vol. 15, no. 3, pp. 1754-1768, July-Sept. 2024, doi: 10.1109/TAFFC.2024.3372380. Abstract Paper

Conference Proceedings

A. N. Salman, N. Wang, L. Martinez-Lucas, A. Vidal, and C. Busso, "MSP-GEO Corpus: A Multimodal Database for Understanding Video-Learning Experience," ACM International Conference on Multimodal Interaction (ICMI 2024), San Josè, Costa Rica, November 2024, pp. 488-497, doi: 10.1145/3678957.3685737. Paper

L. Martinez-Lucas and C. Busso, "Dynamic Speech Emotion Recognition Using A Conditional Neural Process," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), Seoul, Republic of Korea, April 2024, pp. 12036-12040, doi: 10.1109/ICASSP48485.2024.10447805. Paper Poster

L. Martinez-Lucas, A. Salman, S.-G. Leem, S. G. Upadhyay, C.-C. Lee and C. Busso, "Analyzing the Effect of Affective Priming on Emotional Annotations," 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), Boston, MA, USA, September 2023, pp. 1-8, doi: 10.1109/ACII59096.2023.10388184. Paper Presentation

S. G. Upadhyay, L. Martinez-Lucas, B.-H. Su, W.-C. Lin, W.-S. Chien, Y.-T. Wu, W. Katz, C. Busso, and C.-C. Lee, "Phonetic Anchor-Based Transfer Learning to Facilitate Unsupervised Cross-Lingual Speech Emotion Recognition," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095250. Paper

L. Martinez-Lucas, M. Abdelwahab, and C. Busso, “The MSP-conversation corpus,” Proc. Interspeech 2020, Shanghai, China, October 2020, pp. 1823-1827, doi: 10.21437/Interspeech.2020-2444. Paper Highlight Video Presentation Video

Timeline

May 2022 - Present	Candidate, Doctor of Philosophy in Electrical Engineering, PhD Proposal	The University of Texas at Dallas, Richardson, TX
May 2018 - Present	Machine Learning Researcher at the Multimodal Signal Processing (MSP) Laboratory	Laboratory at the University of Texas at Dallas
May 2025	Master of Science in Electrical Engineering, GPA: 3.97/4.00, Signals and Systems Concentration	The University of Texas at Dallas, Richardson, TX
May 2021	Bachelor of Science in Electrical Engineering, GPA: 3.99/4.00, Graduated Summa Cum Laude	The University of Texas at Dallas, Richardson, TX
Apr 2021	Jonsson School Undergraduate Research Award	The University of Texas at Dallas
Apr 2020	Undergraduate Research Scholar Award	The University of Texas at Dallas
Sep 2019	Workshop for Young Female Researchers in Speech Science & Technology	Interspeech 2019 in Graz, Austria

Projects

Understanding the Role of Context and Temporal Resolution in Emotional Annotations and Speech Emotion Recognition - PhD Proposal
Paper Presentation
Fall 2024 Signal Theory Class Project - On "Representation Equivalent Neural Operators: a Framework for Alias-Free Operator Learning"
Project Writeup GitHub Page
Spring 2024 Neural Networks and Deep Learning Class Project - Investigating Conditional Neural Processes for Dynamic Speech Emotion Recognition
Project Paper Presentation
Fall 2023 Information Theory Class Project - On "An Information-Theoretic Analysis of Thompson Sampling”"
Project Writeup
Emotion Recognition in Conversation and Sequence-to-Sequence Modeling - PhD Qualifying Exam
Presentation
Spring 2021 UTDesign Senior EXPO - Deepcut: A Robot that Raps
Final Report Demo GitHub Page
Creating an Attention Based Network for Speech Emotion Recognition in Conversations
Poster Presentation Video
Continuous Assessment of Emotional Speech during Spontaneous Multiple People Interaction
Poster Presentation Video

Courses

COMING SOON!