Jialu Li (李嘉璐) - Publications

Journal Articles

Automated Analysis of Naturalistic Recordings in Early Childhood: Applications, Challenges, and Opportunities

[PDF]

Jialu Li, Marvin Lavechin, Xulin Fan, Nancy L. McElwain, Alejandrina Cristia, Paola Garcia-Perera, and Mark Hasegawa-Johnson

Published in IEEE Signal Processing Magazine, November 2025

Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations

[PDF]

Bashima Islam, Nancy L. McElwain, Jialu Li, Maria Davila, Yannan Hu, Kexin Hu, Jordan Bodway, Ashutosh Dhekne, Romit Roy Choudhury, and Mark Hasegawa-Johnson

Published in Journal of Sensors, January 2024

Autosegmental neural nets 2.0: An extensive study of training synchronous and asynchronous phones and tones for under-resourced tonal languages

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Jialu Li and Mark Hasegawa-Johnson

Published in Journal of IEEE Transactions on Audio, Speech, and Language Processing, May 2022

Analysis of acoustic and voice quality features for the classification of infant and mother vocalizations

[PDF]

Jialu Li, Mark Hasegawa-Johnson, and Nancy L. McElwain

Published in Journal of Speech Communication, July 2021

An embodied, platform-invariant architecture for connecting high-level spatial commands to platform articulation

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Anum Jang Sher, Umer Huzaifa, Jialu Li, Varun Jain, Alex Zurawski, and Amy LaViers

Published in Journal of Robotics and Autonomous Systems, July 2019

Conference Papers

Robust Multi-Tier Infant-Centered Audio Understanding with Whisper via Structured Speaker Conditioning

Xulin Fan, Jialu Li, Mohammad Nur Hossain Khan, Kexin Hu, Bashima Islam, Mark Hasegawa-Johnson, and Nancy L. McElwain

To be appear in Interspeech 2026

Band-Split Self-supervised Mamba for Infant-centered Audio Analysis

[PDF]

Xulin Fan, Jialu Li, Mark Hasegawa-Johnson, and Nancy L. McElwain

Published in the Proceedings of Interspeech, August 2025

Enhancing Child Vocalization Classification with Phonetically-Tuned Embeddings for Assisting Autism Diagnosis

[PDF] [Model Weights (Hugging Face)][Code]

Jialu Li, Mark Hasegawa-Johnson, and Karrie Karahalios

Published in the Proceedings of Interspeech, September 2024

Sound Tagging in Infant-centric Home Soundscapes

[PDF]

Mohammad Nur Hossain Khan, Jialu Li, Nancy L. McElwain, Mark Hasegawa-Johnson, and Bashima Islam

Published in IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2024), February 2024

Towards Robust Family-Infant Audio Analysis Based on Unsupervised Pretraining of Wav2vec 2.0 on Large-Scale Unlabeled Family Audio

[PDF] [Model Weights (Hugging Face)] [Code]

Jialu Li, Mark Hasegawa-Johnson, and Nancy L. McElwain

Published in the Proceedings of Interspeech, August 2023

Listen, Decipher and Sign: Toward Unsupervised Speech-to-Sign Language Recognition

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Liming Wang, Junrui Ni, Heting Gao, Jialu Li, Kai Chieh Chang, Xulin Fan, Junkai Wu, Mark Hasegawa-Johnson, and Chang D. Yoo

Published in the Findings of Association for Computational Linguistics (Findings of ACL’23), July 2023

Autosegmental Neural Nets: Should Phones and Tones be Synchronous or Asynchronous?

[PDF] [Highlight Video] [Video] [Code]

Jialu Li and Mark Hasegawa-Johnson

Published in the Proceedings of Interspeech, October 2020

Workshop Papers

Analysis of Self-Supervised Speech Models on Children's Speech and Infant Vocalizations

[PDF] [Code] [Model Weights (Hugging Face)] [Supplementary Materials]

Jialu Li, Mark Hasegawa-Johnson, and Nancy L. McElwain

Accepted to the IEEE ICASSP 2024 workshop Self-supervision in Audio, Speech and Beyond (SASB), January 2024

A Comparable Phone Set for the TIMIT Dataset Discovered in Clustering of Listen, Attend and Spell

[PDF] [Poster]

Jialu Li and Mark Hasegawa-Johnson

Published in the Workshop on Interpretability and Robustness in Audio, Speech, and Language (IRASL), NeurIPS, Montreal, Canada, December 2018

Preprints

Age-Aware Adapter Tuning for Children's Speech Recognition

[PDF] [Code] [HuggingFace]

Jialu Li

Preprint, June 2026

Visualizations of complex sequences of family-infant vocalizations using bag-of-audio-words approach based on wav2vec 2.0 features

[PDF]

Jialu Li, Mark Hasegawa-Johnson, and Nancy L. McElwain

Preprint, March 2022

Accent-robust automatic speech recognition using supervised and unsupervised wav2vec embeddings

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Jialu Li, Vimal Manohar, Pooja Chitkara, Andros Tjandra, Michael Picheny, Frank Zhang, Xiaohui Zhang, Yatharth Saraf

Preprint, October 2021

Ph.D. Thesis

Breaking Down Barriers: Advancing Interdisciplinary Speech Applications in Early Children’s Development

[PDF]

Jialu Li

April, 2024