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ORCIDEric Fosler-Lussier
Eric Fosler
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- affiliation: Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
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2020 – today
- 2023
[j24]Xiao-Lei Zhang, Lei Xie, Eric Fosler-Lussier, Emmanuel Vincent:
Guest editorial: Special issue on advances in deep learning based speech processing. Neural Networks 158: 328-330 (2023)- [i23]Shuaichen Chang, Eric Fosler-Lussier:
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings. CoRR abs/2305.11853 (2023) - 2022
- [j23]Prashant Serai
, Vishal Sunder, Eric Fosler-Lussier:
Hallucination of Speech Recognition Errors With Sequence to Sequence Learning. IEEE ACM Trans. Audio Speech Lang. Process. 30: 890-900 (2022) - [c126]Apan Qasem, Hartwig Anzt, Eduard Ayguadé, Katharine Cahill, Ramon Canal, Jany Chan, Eric Fosler-Lussier, Fritz Göbel, Arpan Jain, Marcel Koch, Mateusz Kuzak, Josep Llosa, Raghu Machiraju, Xavier Martorell, Pratik Nayak, Shameema Oottikkal, Marcin Ostasz, Dhabaleswar K. Panda, Dirk Pleiter, Rajiv Ramnath, Maria-Ribera Sancho, Alessio Sclocco, Aamir Shafi, Hanno Spreeuw, Hari Subramoni, Karen Tomko:
Lightning Talks of EduHPC 2022. EduHPC@SC 2022: 42-49 - [c125]Vishal Sunder, Samuel Thomas, Hong-Kwang Jeff Kuo, Jatin Ganhotra, Brian Kingsbury, Eric Fosler-Lussier:
Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding. ICASSP 2022: 7497-7501 - [c124]Vishal Sunder, Eric Fosler-Lussier, Samuel Thomas, Hong-Kwang Kuo, Brian Kingsbury:
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems. INTERSPEECH 2022: 2683-2687 - [i22]Vishal Sunder, Samuel Thomas, Hong-Kwang Jeff Kuo, Jatin Ganhotra, Brian Kingsbury, Eric Fosler-Lussier:
Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding. CoRR abs/2204.05169 (2022) - [i21]Vishal Sunder, Prashant Serai, Eric Fosler-Lussier:
Building an ASR Error Robust Spoken Virtual Patient System in a Highly Class-Imbalanced Scenario Without Speech Data. CoRR abs/2204.05183 (2022) - [i20]Vishal Sunder, Eric Fosler-Lussier, Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury:
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems. CoRR abs/2204.05188 (2022) - [i19]Shuaichen Chang, David Palzer, Jialin Li, Eric Fosler-Lussier, Ningchuan Xiao:
MapQA: A Dataset for Question Answering on Choropleth Maps. CoRR abs/2211.08545 (2022) - 2021
- [j22]Denis Newman-Griffis, Eric Fosler-Lussier:
Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health. Frontiers Digit. Health 3: 620828 (2021) - [j21]Denis Newman-Griffis, Guy Divita, Bart Desmet, Ayah Zirikly, Carolyn P. Rosé, Eric Fosler-Lussier:
Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets. J. Am. Medical Informatics Assoc. 28(3): 516-532 (2021) - [c123]Chaitanya Kulkarni, Jany Chan, Eric Fosler-Lussier, Raghu Machiraju:
Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols. ACL/IJCNLP (1) 2021: 6737-6750 - [c122]Denis R. Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
Diachronic Analysis of the Evolution of COVID-19 Scientific Literature. AMIA 2021 - [c121]Vishal Sunder, Eric Fosler-Lussier:
Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation. ICASSP 2021: 7633-7637 - [c120]Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora. NAACL-HLT (Demonstrations) 2021: 106-115 - [i18]Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora. CoRR abs/2103.11029 (2021) - [i17]Prashant Serai, Vishal Sunder, Eric Fosler-Lussier:
Hallucination of speech recognition errors with sequence to sequence learning. CoRR abs/2103.12258 (2021) - [i16]Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier:
Perceptual Loss with Recognition Model for Single-Channel Enhancement and Robust ASR. CoRR abs/2112.06068 (2021) - 2020
- [c119]Denis R. Newman-Griffis, Guy Divita, Bart Desmet, Ayah Zirikly, Carolyn P. Rosé, Eric Fosler-Lussier:
Ambiguity in Medical Concept Normalization: An Analysis of Types and Coverage in Electronic Health Record Datasets. AMIA 2020 - [c118]Manirupa Das, Juanxi Li, Eric Fosler-Lussier, Simon M. Lin, Steve Rust, Yungui Huang, Rajiv Ramnath:
Sequence-to-Set Semantic Tagging for Complex Query Reformulation and Automated Text Categorization in Biomedical IR using Self-Attention. BioNLP 2020: 14-27 - [c117]Ahmad Aljanaideh, Eric Fosler-Lussier, Marie-Catherine de Marneffe:
Contextualized Embeddings for Enriching Linguistic Analyses on Politeness. COLING 2020: 2181-2190 - [c116]Prashant Serai, Adam Stiff, Eric Fosler-Lussier:
End to End Speech Recognition Error Prediction with Sequence to Sequence Learning. ICASSP 2020: 6339-6343 - [c115]Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier:
Phonetic Feedback for Speech Enhancement with and Without Parallel Speech Data. ICASSP 2020: 6679-6683 - [c114]Adam Stiff, Qi Song, Eric Fosler-Lussier:
How Self-Attention Improves Rare Class Performance in a Question-Answering Dialogue Agent. SIGdial 2020: 196-202 - [i15]Peter Plantinga, Eric Fosler-Lussier:
Towards Real-time Mispronunciation Detection in Kids' Speech. CoRR abs/2003.01765 (2020) - [i14]Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier:
Phonetic Feedback for Speech Enhancement With and Without Parallel Speech Data. CoRR abs/2003.01769 (2020) - [i13]Vishal Sunder, Eric Fosler-Lussier:
Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation. CoRR abs/2010.15090 (2020) - [i12]Denis Newman-Griffis, Eric Fosler-Lussier:
Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health. CoRR abs/2011.13978 (2020)
2010 – 2019
- 2019
- [c113]Denis Newman-Griffis, Eric Fosler-Lussier:
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings. LOUHI@EMNLP 2019: 146-156 - [c112]Denis R. Newman-Griffis, Ayah Zirikly, Pei-Shu Ho, Jonathan Camacho Maldonado, Maryanne Sacco, Alex Marr, Albert M. Lai, Eric Fosler-Lussier:
Automated classification of mobility activities in free text clinical narratives. AMIA 2019 - [c111]Peter Plantinga, Eric Fosler-Lussier:
Towards Real-Time Mispronunciation Detection in Kids' Speech. ASRU 2019: 690-696 - [c110]Denis Newman-Griffis, Eric Fosler-Lussier:
HARE: a Flexible Highlighting Annotator for Ranking and Exploration. EMNLP/IJCNLP (3) 2019: 85-90 - [c109]Sirui Xu, Eric Fosler-Lussier:
Spatial and Channel Attention Based Convolutional Neural Networks for Modeling Noisy Speech. ICASSP 2019: 6625-6629 - [c108]Prashant Serai, Peidong Wang, Eric Fosler-Lussier:
Improving Speech Recognition Error Prediction for Modern and Off-the-shelf Speech Recognizers. ICASSP 2019: 7255-7259 - [c107]Adam Stiff, Prashant Serai, Eric Fosler-Lussier:
Improving Human-computer Interaction in Low-resource Settings with Text-to-phonetic Data Augmentation. ICASSP 2019: 7320-7324 - [c106]Gordon Euhyun Moon, Denis Newman-Griffis, Jinsung Kim, Aravind Sukumaran-Rajam, Eric Fosler-Lussier, P. Sadayappan:
Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings. MLHPC@SC 2019: 44-55 - [i11]Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar, Hakan Ferhatosmanoglu, Eric Fosler-Lussier:
Characterizing the impact of geometric properties of word embeddings on task performance. CoRR abs/1904.04866 (2019) - [i10]Denis Newman-Griffis, Eric Fosler-Lussier:
HARE: a Flexible Highlighting Annotator for Ranking and Exploration. CoRR abs/1908.11302 (2019) - [i9]Denis Newman-Griffis, Eric Fosler-Lussier:
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings. CoRR abs/1910.00192 (2019) - [i8]Manirupa Das, Zhen Wang, Evan Jaffe, Madhuja Chattopadhyay, Eric Fosler-Lussier, Rajiv Ramnath:
Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation. CoRR abs/1910.08270 (2019) - [i7]Manirupa Das, Juanxi Li, Eric Fosler-Lussier, Simon M. Lin, Soheil Moosavinasab, Steve Rust, Yungui Huang, Rajiv Ramnath:
Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization. CoRR abs/1911.04427 (2019) - 2018
- [j20]Michiel Bacchiani, Eric Fosler-Lussier:
An Overview of the IEEE SPS Speech and Language Technical Committee [In the Spotlight]. IEEE Signal Process. Mag. 35(6): 125-126 (2018) - [c105]Manirupa Das, Eric Fosler-Lussier, Simon M. Lin, Soheil Moosavinasab, David Chen, Steve Rust, Yungui Huang, Rajiv Ramnath:
Phrase2VecGLM: Neural generalized language model-based semantic tagging for complex query reformulation in medical IR. BioNLP 2018: 118-128 - [c104]Deblin Bagchi, Peter Plantinga, Adam Stiff, Eric Fosler-Lussier:
Spectral Feature Mapping with MIMIC Loss for Robust Speech Recognition. ICASSP 2018: 5609-5613 - [c103]Sirui Xu, Eric Fosler-Lussier:
Application of Progressive Neural Networks for Multi-Stream Wfst Combination in One-Pass Decoding. ICASSP 2018: 5914-5918 - [c102]Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier:
Jointly Embedding Entities and Text with Distant Supervision. Rep4NLP@ACL 2018: 195-206 - [c101]Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier:
An Exploration of Mimic Architectures for Residual Network Based Spectral Mapping. SLT 2018: 550-557 - [i6]Deblin Bagchi, Peter Plantinga, Adam Stiff, Eric Fosler-Lussier:
Spectral feature mapping with mimic loss for robust speech recognition. CoRR abs/1803.09816 (2018) - [i5]Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier:
Jointly Embedding Entities and Text with Distant Supervision. CoRR abs/1807.03399 (2018) - [i4]Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier:
An Exploration of Mimic Architectures for Residual Network Based Spectral Mapping. CoRR abs/1809.09756 (2018) - 2017
- [c100]Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier:
Insights into Analogy Completion from the Biomedical Domain. BioNLP 2017: 19-28 - [c99]Joo-Kyung Kim, Young-Bum Kim, Ruhi Sarikaya, Eric Fosler-Lussier:
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources. EMNLP 2017: 2832-2838 - [i3]Denis Newman-Griffis, Eric Fosler-Lussier:
Second-Order Word Embeddings from Nearest Neighbor Topological Features. CoRR abs/1705.08488 (2017) - [i2]Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier:
Insights into Analogy Completion from the Biomedical Domain. CoRR abs/1706.02241 (2017) - 2016
- [j19]Karen Livescu, Frank Rudzicz, Eric Fosler-Lussier, Mark Hasegawa-Johnson, Jeff A. Bilmes:
Speech Production in Speech Technologies: Introduction to the CSL Special Issue. Comput. Speech Lang. 36: 165-172 (2016) - [j18]Karen Livescu, Preethi Jyothi, Eric Fosler-Lussier:
Articulatory feature-based pronunciation modeling. Comput. Speech Lang. 36: 212-232 (2016) - [j17]Yanzhang He, Peter Baumann, Hao Fang, Brian Hutchinson, Aaron Jaech, Mari Ostendorf, Eric Fosler-Lussier, Janet B. Pierrehumbert:
Using Pronunciation-Based Morphological Subword Units to Improve OOV Handling in Keyword Search. IEEE ACM Trans. Audio Speech Lang. Process. 24(1): 79-92 (2016) - [c98]Chaitanya P. Shivade, Courtney L. Hebert, Kelly Regan, Eric Fosler-Lussier, Albert M. Lai:
Automatic data source identification for clinical trial eligibility criteria resolution. AMIA 2016 - [c97]Chaitanya Shivade, Marie-Catherine de Marneffe, Eric Fosler-Lussier, Albert M. Lai:
Identification, characterization, and grounding of gradable terms in clinical text. BioNLP@ACL 2016: 17-26 - [c96]Denis R. Griffis, Chaitanya Shivade, Eric Fosler-Lussier, Albert M. Lai:
A Quantitative and Qualitative Evaluation of Sentence Boundary Detection for the Clinical Domain. CRI 2016 - [c95]Rebecca Bates, Eric Fosler-Lussier, Florian Metze, Martha A. Larson, Gina-Anne Levow, Emily Mower Provost:
Experiences with Shared Resources for Research and Education in Speech and Language Processing. INTERSPEECH 2016: 1627-1631 - [c94]Sirui Xu, Eric Fosler-Lussier:
A WFST Framework for Single-Pass Multi-Stream Decoding. INTERSPEECH 2016: 1908-1912 - [c93]Joo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier:
Adjusting Word Embeddings with Semantic Intensity Orders. Rep4NLP@ACL 2016: 62-69 - 2015
- [j16]Chaitanya P. Shivade, Pranav Malewadkar, Eric Fosler-Lussier, Albert M. Lai:
Comparison of UMLS terminologies to identify risk of heart disease using clinical notes. J. Biomed. Informatics 58: S103-S110 (2015) - [j15]Chaitanya P. Shivade, Courtney Hebert, Marcelo A. Lopetegui, Marie-Catherine de Marneffe, Eric Fosler-Lussier, Albert M. Lai:
Textual inference for eligibility criteria resolution in clinical trials. J. Biomed. Informatics 58: S211-S218 (2015) - [c92]Bonnie J. Dorr, Lucian Galescu, Ian Perera, Kristy Hollingshead-Seitz, David J. Atkinson, Micah Clark, William J. Clancey, Yorick Wilks, Eric Fosler-Lussier:
Speech Adaptation in Extended Ambient Intelligence Environments. AAAI 2015: 4027-4031 - [c91]Deblin Bagchi, Michael I. Mandel, Zhongqiu Wang, Yanzhang He, Andrew R. Plummer, Eric Fosler-Lussier:
Combining spectral feature mapping and multi-channel model-based source separation for noise-robust automatic speech recognition. ASRU 2015: 496-503 - [c90]Evan Jaffe, Michael White, William Schuler, Eric Fosler-Lussier, Alex Rosenfeld, Douglas Danforth:
Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System. BEA@NAACL-HLT 2015: 86-96 - [c89]Yi Ma, Paul A. Crook, Ruhi Sarikaya, Eric Fosler-Lussier:
Knowledge Graph Inference for spoken dialog systems. ICASSP 2015: 5346-5350 - [c88]Kun Han, Yanzhang He, Deblin Bagchi, Eric Fosler-Lussier, DeLiang Wang:
Deep neural network based spectral feature mapping for robust speech recognition. INTERSPEECH 2015: 2484-2488 - [c87]Florian Metze, Eric Riebling, Eric Fosler-Lussier, Andrew R. Plummer, Rebecca Bates:
The speech recognition virtual kitchen turns one. INTERSPEECH 2015: 2617-2618 - [c86]Yanzhang He, Eric Fosler-Lussier:
Segmental conditional random fields with deep neural networks as acoustic models for first-pass word recognition. INTERSPEECH 2015: 2640-2644 - [c85]Joo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier:
Neural word embeddings with multiplicative feature interactions for tensor-based compositions. VS@HLT-NAACL 2015: 143-150 - [c84]Chaitanya P. Shivade, Marie-Catherine de Marneffe, Eric Fosler-Lussier, Albert M. Lai:
Corpus-based discovery of semantic intensity scales. HLT-NAACL 2015: 483-493 - [i1]Preethi Raghavan, James L. Chen, Eric Fosler-Lussier, Albert M. Lai:
How essential are unstructured clinical narratives and information fusion to clinical trial recruitment? CoRR abs/1502.04049 (2015) - 2014
- [j14]Chaitanya P. Shivade, Preethi Raghavan, Eric Fosler-Lussier, Peter J. Embí, Noémie Elhadad, Stephen B. Johnson, Albert M. Lai:
A review of approaches to identifying patient phenotype cohorts using electronic health records. J. Am. Medical Informatics Assoc. 21(2): 221-230 (2014) - [c83]Preethi Raghavan, Eric Fosler-Lussier, Noemie Elhadad, Albert M. Lai:
Cross-narrative Temporal Ordering of Medical Events. ACL (1) 2014: 998-1008 - [c82]Yanzhang He, Brian Hutchinson, Peter Baumann, Mari Ostendorf, Eric Fosler-Lussier, Janet B. Pierrehumbert:
Subword-based modeling for handling OOV words inkeyword spotting. ICASSP 2014: 7864-7868 - [c81]Andrew R. Plummer, Eric Riebling, Anuj Kumar, Florian Metze, Eric Fosler-Lussier, Rebecca Bates:
The speech recognition virtual kitchen: launch party. INTERSPEECH 2014: 2140-2141 - [c80]Yi Ma, Eric Fosler-Lussier:
Detecting 'Request Alternatives' User Dialog Acts from Dialog Context. IWSDS 2014: 97-102 - [c79]Yi Ma, Eric Fosler-Lussier:
A discriminative sequence model for dialog state tracking using user goal change detection. SLT 2014: 318-323 - [c78]Hang Su, James Hieronymus, Yanzhang He, Eric Fosler-Lussier, Steven Wegmann:
Syllable based keyword search: Transducing syllable lattices to word lattices. SLT 2014: 489-494 - 2013
- [j13]Eric Fosler-Lussier, Yanzhang He, Preethi Jyothi, Rohit Prabhavalkar:
Conditional Random Fields in Speech, Audio, and Language Processing. Proc. IEEE 101(5): 1054-1075 (2013) - [j12]William Hartmann, Arun Narayanan, Eric Fosler-Lussier, DeLiang Wang:
A Direct Masking Approach to Robust ASR. IEEE Trans. Speech Audio Process. 21(10): 1993-2005 (2013) - [c77]Rohit Prabhavalkar, Karen Livescu, Eric Fosler-Lussier, Joseph Keshet:
Discriminative articulatory models for spoken term detection in low-resource conversational settings. ICASSP 2013: 8287-8291 - [c76]Florian Metze, Eric Fosler-Lussier, Rebecca Bates:
The speech recognition virtual kitchen. INTERSPEECH 2013: 1858-1860 - [c75]Preethi Jyothi, Eric Fosler-Lussier, Karen Livescu:
Discriminative training of WFST factors with application to pronunciation modeling. INTERSPEECH 2013: 1961-1965 - [c74]Wei Chen, Eric Fosler-Lussier, Ningchuan Xiao, Satyajeet Raje, Rajiv Ramnath, Daniel Z. Sui:
A Synergistic Framework for Geographic Question Answering. ICSC 2013: 94-99 - 2012
- [j11]Karen Livescu, Eric Fosler-Lussier, Florian Metze:
Subword Modeling for Automatic Speech Recognition: Past, Present, and Emerging Approaches. IEEE Signal Process. Mag. 29(6): 44-57 (2012) - [c73]Preethi Raghavan, Albert M. Lai, Eric Fosler-Lussier:
Learning to Temporally Order Medical Events in Clinical Text. ACL (2) 2012: 70-74 - [c72]Yi Ma, Ritu Singh, Eric Fosler-Lussier, Robert Lofthus:
Comparing human versus automatic feature extraction for fine-grained elementary readability assessment. PITR@NAACL-HLT 2012: 58-64 - [c71]Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai:
Inter-Annotator Reliability of Medical Events, Coreferences and Temporal Relations in Clinical Narratives by Annotators with Varying Levels of Clinical Expertise. AMIA 2012 - [c70]Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai:
Temporal Classification of Medical Events. BioNLP@HLT-NAACL 2012: 29-37 - [c69]William Hartmann, Eric Fosler-Lussier:
ASR-driven top-down binary mask estimation using spectral priors. ICASSP 2012: 4685-4688 - [c68]Preethi Raghavan, Eric Fosler-Lussier, Chris Brew, Albert M. Lai:
Medical event coreference resolution using the UMLS metathesaurus and temporal reasoning. IHI 2012: 465-472 - [c67]Preethi Jyothi, Eric Fosler-Lussier, Karen Livescu:
Discriminatively learning factorized finite state pronunciation models from dynamic Bayesian networks. INTERSPEECH 2012: 1063-1066 - [c66]William Hartmann, Eric Fosler-Lussier:
Improved Model Selection for the ASR-Driven Binary Mask. INTERSPEECH 2012: 1203-1206 - [c65]Florian Metze, Eric Fosler-Lussier:
The Speech Recognition Virtual Kitchen: An Initial Prototype. INTERSPEECH 2012: 1872-1873 - [c64]Yanzhang He, Eric Fosler-Lussier:
Efficient Segmental Conditional Random Fields for One-Pass Phone Recognition. INTERSPEECH 2012: 1898-1901 - [c63]Elias Iosif, Maria Giannoudaki, Eric Fosler-Lussier, Alexandros Potamianos:
Associative and Semantic Features Extracted From Web-Harvested Corpora. LREC 2012: 2991-2998 - [c62]Rohit Prabhavalkar, Joseph Keshet, Karen Livescu, Eric Fosler-Lussier:
Discriminative spoken term detection with limited data. MLSLP 2012: 22-25 - [c61]Yi Ma, Eric Fosler-Lussier, Robert Lofthus:
Ranking-based readability assessment for early primary children's literature. HLT-NAACL 2012: 548-552 - [c60]Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai:
Exploring Semi-Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features. HLT-NAACL 2012: 731-741 - 2011
- [c59]Rohit Prabhavalkar, Eric Fosler-Lussier, Karen Livescu:
A factored conditional random field model for articulatory feature forced transcription. ASRU 2011: 77-82 - [c58]Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric Fosler-Lussier:
Robust speech recognition using multiple prior models for speech reconstruction. ICASSP 2011: 4800-4803 - [c57]William Hartmann, Eric Fosler-Lussier:
Investigations into the incorporation of the Ideal Binary Mask in ASR. ICASSP 2011: 4804-4807 - [c56]Preethi Jyothi, Karen Livescu, Eric Fosler-Lussier:
Lexical access experiments with context-dependent articulatory feature-based models. ICASSP 2011: 4900-4903 - 2010
- [c55]Rohit Prabhavalkar, Eric Fosler-Lussier:
Backpropagation training for multilayer conditional random field based phone recognition. ICASSP 2010: 5534-5537 - [c54]John Woodruff, Rohit Prabhavalkar, Eric Fosler-Lussier, DeLiang Wang:
Combining monaural and binaural evidence for reverberant speech segregation. INTERSPEECH 2010: 406-409 - [c53]Preethi Jyothi, Eric Fosler-Lussier:
Discriminative language modeling using simulated ASR errors. INTERSPEECH 2010: 1049-1052 - [c52]Dominic Espinosa, Michael White, Eric Fosler-Lussier, Chris Brew:
Machine learning for text selection with expressive unit-selection voices. INTERSPEECH 2010: 1125-1128 - [c51]Andrew R. Plummer, Mary E. Beckman, Mikhail Belkin, Eric Fosler-Lussier, Benjamin Munson:
Learning speaker normalization using semisupervised manifold alignment. INTERSPEECH 2010: 2918-2921 - [c50]Rohit Prabhavalkar, Preethi Jyothi, William Hartmann, Jeremy Morris, Eric Fosler-Lussier:
Investigations into the Crandem Approach to Word Recognition. HLT-NAACL 2010: 725-728
2000 – 2009
- 2009
- [j10]Ilana Heintz, Eric Fosler-Lussier, Chris Brew:
Discriminative Input Stream Combination for Conditional Random Field Phone Recognition. IEEE Trans. Speech Audio Process. 17(8): 1533-1546 (2009) - [c49]Timothy Weale, Chris Brew, Eric Fosler-Lussier:
Using the Wiktionary Graph Structure for Synonym Detection. PWNLP@IJCNLP 2009: 28-31 - [c48]Spiros Dimopoulos, Eric Fosler-Lussier, Chin-Hui Lee, Alexandros Potamianos:
Transition features for CRF-based speech recognition and boundary detection. ASRU 2009: 99-102 - [c47]Spiros Dimopoulos, Alexandros Potamianos, Eric Fosler-Lussier, Chin-Hui Lee:
Multiple time resolution analysis of speech signal using MCE training with application to speech recognition. ICASSP 2009: 3801-3804 - [c46]Ilana Heintz, Mary E. Beckman, Eric Fosler-Lussier, Lucie Ménard:
Evaluating parameters for mapping adult vowels to imitative babbling. INTERSPEECH 2009: 688-691 - [c45]Rohit Prabhavalkar, Zhaozhang Jin, Eric Fosler-Lussier:
Monaural segregation of voiced speech using discriminative random fields. INTERSPEECH 2009: 856-859 - [c44]Preethi Jyothi, Eric Fosler-Lussier:
A comparison of audio-free speech recognition error prediction methods. INTERSPEECH 2009: 1211-1214 - [c43]