Naomi Feldman
Professor
Builds computational models of how people learn speech sounds, drawing on machine learning and automatic speech recognition.
Naomi Feldman's lab at UMD works on multimodal & grounded language, multilingual, translation & linguistics and speech recognition & spoken language. 17 papers since 2023, 2 at top venues, mostly ACL and Interspeech. 7 PhD students. 16 alumni.
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 12%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 16
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 1 · collecting
- 2 papers2025 · T1 0
- 5 papers2024 · T1 0
- 6 papers2023 · T1 1
T1 venuesOtherVenues: ACL, Interspeech
Research focuspaper titles that use each topic's words
- Speech recognition & spoken language13 papers
- Multimodal & grounded language8 papers
- speech8 papers
- sounds1 paper
- Multilingual, translation & linguistics0 papers
Paper list
From the lab homepage.
20264 papers
- ACL (T1)Anchoring depends on confidence and post-training in language models
- Language, 102(1), 156-197Mind the gap: Learning the surface forms of movement dependencies
- Developmental Science, 29(4), e70220Newborns' language discrimination may not reflect sensitivity to speech rhythm: Evidence from computational modeling
- Proceedings of the Boston University Conference on Language DevelopmentSecond language speech assimilation in an optimal transport framework
20252 papers
- Psychonomic Bulletin and Review, 32(1), 139-155Exploring the effectiveness of reward-based learning strategies for second language speech sounds
- Proceedings of the First BabyLM Workshop.Large language models and children have different learning trajectories in determiner acquisition
20245 papers
- Proceedings of the Annual Conference of the Cognitive Science SocietyA predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech
- Findings of the Conference on Empirical Methods in Natural Language ProcessingA Psycholinguistic Evaluation of Language Models' Sensitivity to Argument Roles
- Proceedings of the Annual Conference of the Cognitive Science SocietyLanguage discrimination may not rely on rhythm: A computational study
- Proceedings of the Annual Conference of the Cognitive Science SocietyLinking cognitive and neural models of audiovisual processing to explore speech perception in autism
- Proceedings of the Conference on Natural Language LearningSelf-supervised speech representations display some human-like cross-linguistic perceptual abilities
20236 papers
- Interspeech (T1)A neural architecture for selective attention to speech features
- Cognitive Science, 47(7), e13314Infant phonetic learning as perceptual space learning: A crosslinguistic evaluation of computational models
- Proceedings of the Annual Conference of the Cognitive Science SocietyModeling substitution errors in Spanish morphology learning
- Proceedings of the Conference on Cognitive Computational NeuroscienceSpeech features are weighted by selective attention
- Developmental Science, 26(4), e13364The competition-compensation account of developmental language disorder
- Cognitive Science, 47(8), e13328When children's production deviates from observed input: Modeling the variable production of the English past tense
Where alumni went16 listed
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CNTsinghua
Liang He
- Speech recognition & spoken language
- GBCambridge
Mark Gales
- Speech recognition & spoken language
- GBCambridge
Simone Teufel
2 T1 - CAToronto
Gerald Penn
- Multilingual, translation & linguistics
- USGeorgia Tech
Biing Hwang Juang
- Speech recognition & spoken language
- USCMU
Richard Stern
- Speech recognition & spoken language
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.