Karen Livescu

Professor
Toyota Technological Institute at Chicago

My main research interests are in speech and language processing, as well as related aspects of machine learning.

I am a Professor at TTI-Chicago, a philanthropically endowed graduate institute for computer science located on the University of Chicago campus. I am also a courtesy faculty member in Computer Science at U. Chicago.

TTIC is recruiting students to our PhD program, as well as additional faculty, including in speech and language-related areas (more on Speech and Language at TTIC).

I completed my PhD in 2005 at MIT in the Spoken Language Systems group of the Computer Science and Artificial Intelligence Laboratory. In 2005-2007 I was a post-doctoral lecturer in the MIT EECS department. In Feb.-Aug. 2008 I was a Research Assistant Professor at TTI-Chicago.

News    Speech&Language@TTIC    Students/Postdocs    Publications    Teaching    CV    Misc


News:
The OpenASL data set has been released
The Spoken Language Understanding Evaluation (SLUE) benchmark is open for submissions
IEEE JSTSP Special Issue on Self-Supervised Learning for Speech and Audio Processing is out
Chicago Fingerspelling in the Wild Data Sets released


Teaching:
Spring 2023 ... TTIC 31220: Unsupervised learning and data analysis
Spring 2022 ... TTIC 31110 (CMSC 35110): Speech Technologies
Winter 2021 ... TTIC 31220: Unsupervised learning and data analysis
Spring 2020 ... TTIC 31110 (CMSC 35110): Speech Technologies
Winter 2019 ... TTIC 31220: Unsupervised learning and data analysis
Spring 2018 ... TTIC 31110 (CMSC 35110): Speech Technologies
Spring 2017 ... TTIC 31220: Unsupervised learning and data analysis
Spring 2016 ... TTIC 31110: Speech Technologies
Spring 2015 ... TTIC 31090: Signals, Systems, and Random Processes
Winter 2014 ... TTIC 31110: Speech Technologies
Spring 2013 ... TTIC 31090: Signals, Systems, and Random Processes
Spring 2012 ... TTIC 31110: Speech Technologies
Spring 2011 ... TTIC 31090: Signals, Systems, and Random Processes
Winter 2011 ... 20114231: Introduction to Speech Recognition (Weizmann Institute)
Autumn 2009 ... CMSC 35900: Topics in Artificial Intelligence: Speech Technologies
Autumn 2007, Autumn & Spring 2006, Autumn 2005 ... 6.003: Signals and Systems (MIT)
Spring 2007 ... 6.345: Automatic Speech Recognition (MIT)

Grad students:
Chung-Ming Chien
Ju-Chieh Chou
Ankita Pasad
Shane Settle
Bowen Shi
Freda (Haoyue) Shi (co-advised with Kevin Gimpel)
Qingming Tang

Past grad students/post-docs:
Shubham Toshniwal (co-advised with Kevin Gimpel) (PhD 2022 → research scientist at Meta)
Hao Tang (PhD 2017 → post-doc at MIT → faculty at U. Edinburgh)
Herman Kamper (post-doc 2017 → faculty at Stellenbosch U.)
Weiran Wang (post-doc 2014-2016 → Amazon → Google)
Taehwan Kim (PhD 2016 → post-doc at Caltech → faculty at UNIST)
Arild Brandrud Næss (NTNU PhD 2015, co-advised with Torbjørn Svendsen → faculty at NTNU Business School)
Bahador Nooraei (MS 2015)
Raman Arora (post-doc 2011-2013 → faculty at JHU)
Louis Terry (Northwestern CSE PhD 2011, co-advised with Aggelos Katsaggelos)
John Labiak (U. Chicago Stats MS 2010, co-advised with Yali Amit and Partha Niyogi)

Past visiting/external students:
Hadas Benisty (Technion EE)
Sujeeth Bharadwaj (UIUC ECE)
Sam Bowman (U. Chicago Linguistics BA)
Yang Chen (U. Chicago)
Soham De (Jadavpur University CSE)
Dhivya Eswaran (IIT Madras CSE BTech)
Victoria Evelkin (Technion EE BS)
Matt Faytak (U. Chicago Linguistics BA)
Wanjia He (U. Chicago PSD MS)
Katie Henry (U. Chicago Computer Science BA)
Yushi Hu (U. Chicago)
Shuning Jin (UMN Duluth/UMD)
Preethi Jyothi (Ohio State CSE PhD)
Herman Kamper (U. Edinburgh CS PhD)
Jack Huang (U. Chicago BS)
Gabrielle Knight (Northwestern Integrated Sciences BS)
Kalpesh Krishna (IIT Bombay BS)
Ang Lu (Tsinghua University Automation BS)
Raci Lynch (Stanford SS BS)
Pranava Swaroop Madhyastha (UPC Barcelona CS PhD)
Anna Margolis (U. Washington CS PhD)
Jon Michaux (U. Chicago PhD)
Katie Mock (U. Chicago Linguistics BA)
Puyuan (Jason) Peng (U. Chicago Stats MS)
Mindi Porebsky (UIUC Linguistics BA)
Rohit Prabhavalkar (Ohio State CSE PhD)
Mark Stoehr (U. Chicago Math BS/CS PhD)
Naohiro Tawara (Waseda U.)
Trang Tran (U. Washington EE PhD)
John Wieting (UIUC CS PhD)


Publications and preprints:

S. Shon, S. Arora, C.-J. Lin, A. Pasad, F. Wu, R. Sharman, W.-L. Wu, H.-Y. Lee, K. Livescu, and S. Watanabe
"SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks"
ACL 2023

A. Pasad, B. Shi, and K. Livescu
"Comparative layer-wise analysis of self-supervised speech models"
ICASSP 2023

S. Shon, F. Wu, K. Kim, P. Sridhar, K. Livescu, S. Watanabe
"Context-aware fine-tuning of self-supervised speech models"
ICASSP 2023

A. Srivastava et al.
"Beyond the imitation game: Quantifying and extrapolating the capabilities of language models"
Transactions on Machine Learning Research 2023

D. Yunis, K. K. Patel, P. Savarese, G. Vardi, K. Livescu, M. Walter, J. Rankle, and M. Maire
"On Convexity and Linear Mode Connectivity in Neural Networks"
NeurIPS Workshop on Optimization for Machine Learning (OPT) 2022

B. Shi, D. Brentari, G. Shakhnarovich, and K. Livescu
"TTIC's WMT-SLT 22 Sign Language Translation System"
Proc. 7th Conference on Machine Translation (WMT) 2022

S. Toshniwal, S. Wiseman, K. Livescu, and K. Gimpel
"Baked-in State Probing"
Findings of EMNLP 2022

B. Shi, D. Brentari, G. Shakhnarovich, and K. Livescu
"Open-domain sign language translation learned from online video"
EMNLP 2022
(data)

A. Mohamed, H. Lee, L. Borgholt, J. D. Havtorn, J. Edin, C. Igel, K. Kirchhoff, S.-W. Li, K. Livescu, L. Maaløe, T. N. Sainath, and S. Watanabe
"Self-supervised speech representation learning: A review"
IEEE Journal of Selected Topics in Signal Processing 16(6):1179-1210, October 2022.

A. Pasad, F. Wu, S. Shon, K. Livescu, and K. J. Han
"On the use of external data for spoken named entity recognition"
NAACL 2022

B. Shi, D. Brentari, G. Shakhnarovich, and K. Livescu
"Searching for fingerspelled content in American Sign Language"
ACL 2022

H. Shi, K. Gimpel, and K. Livescu
"Substructure distribution projection for zero-shot cross-lingual dependency parsing"
ACL 2022

S. Shon, A. Pasad, F. Wu, P. Brusco, Y. Artzi, K. Livescu, and K. J. Han
"SLUE: New benchmark tasks for spoken language understanding evaluation on natural speech"
ICASSP 2022
(code and data)

S. Toshniwal, S. Wiseman, K. Livescu, and K. Gimpel
"Chess as a testbed for language model state tracking"
AAAI 2022
(code and data)

A. Pasad, J.-C. Chou, and K. Livescu
"Layer-wise analysis of a self-supervised speech representation model"
ASRU 2021

S. Toshniwal*, P. Xia*, S. Wiseman, K. Gimpel, and K. Livescu
"On generalization in coreference resolution"
Fourth Workshop on Computational Models of Reference, Anaphora, and Coreference (CRAC) 2021 (Best Short Paper Award)

B. Shi, D. Brentari, G. Shakhnarovich, and K. Livescu
"Fingerspelling detection in American Sign Language"
CVPR 2021

H. Shi, K. Livescu, and K. Gimpel
"Substructure substitution: Structured data augmentation for NLP"
Findings of ACL-IJCNLP 2021

S. Toshniwal, S. Wiseman, K. Livescu, and K. Gimpel
"Learning chess blindfolded: Evaluating language models on state tracking"
arXiv:2102.13249
(code and data)

Y. Hu, S. Settle, and K. Livescu
"Acoustic span embeddings for multilingual query-by-example search"
SLT 2021

B. Shi, S. Settle, and K. Livescu
"Whole-word segmental speech recognition with acoustic word embeddings"
SLT 2021

P. Peng, H. Kamper, and K. Livescu
"A correspondence variational autoencoder for unsupervised acoustic word embeddings"
NeurIPS 2020 Workshop on Self-Supervised Learning for Speech and Audio Processing

H. Shi, K. Livescu, and K. Gimpel
"On the role of supervision in unsupervised constituency parsing"
EMNLP 2020

S. Toshniwal, S. Wiseman, A. Ettinger, K. Livescu, and K. Gimpel
"Learning to ignore: Long document coreference with bounded memory neural networks"
EMNLP 2020

Y. Hu, S. Settle, and K. Livescu
"Multilingual jointly trained acoustic and written word embeddings"
Interspeech 2020

S. Jin, S. Wiseman, K. Stratos and K. Livescu
"Discrete latent variable representations for low-resource text classification"
ACL 2020

S. Toshniwal, A. Ettinger, K. Gimpel, and K. Livescu
"PeTra: A sparsely supervised memory model for people tracking"
ACL 2020

S. Toshniwal, H. Shi, B. Shi, L. Gao, K. Livescu, and K. Gimpel
"A cross-task analysis of text span representations"
ACL Workshop on Representation Learning for NLP (RepL4NLP) 2020

W. Wang, Q. Tang, and K. Livescu
"Unsupervised pre-training of bidirectional speech encoders via masked reconstruction"
ICASSP 2020

B. Shi, A. Martinez Del Rio, J. Keane, D. Brentari, G. Shakhnarovich, and K. Livescu
"Fingerspelling recognition in the wild with iterative visual attention"
ICCV 2019
(code, data)

T. Hayashi, S. Watanabe, T. Toda, K. Takeda, S. Toshniwal, and K. Livescu
"Pre-trained text embeddings for enhanced text-to-speech synthesis"
Interspeech 2019

A. Pasad, B. Shi, H. Kamper, and K. Livescu
"On the contributions of visual and textual supervision in low-resource semantic speech retrieval"
Interspeech 2019

H. Shi*, J. Mao*, K. Gimpel, and K. Livescu
"Visually grounded neural syntax acquisition"
ACL 2019
(code, project page)

S. Bansal, H. Kamper, K. Livescu, A. Lopez, and S. Goldwater
"Pre-training on high-resource speech recognition improves low-resource speech-to-text translation"
NAACL 2019

H. Kamper, A. Anastassiou, and K. Livescu
"Semantic query-by-example speech search using visual grounding"
ICASSP 2019

S. Settle, K. Audhkhasi, K. Livescu, and M. Picheny
"Acoustically grounded word embeddings for improved acoustics-to-word speech recognition"
ICASSP 2019

H. Kamper, G. Shakhnarovich, and K. Livescu
"Semantic speech retrieval with a visually grounded model of untranscribed speech"
IEEE/ACM Transactions on Audio, Speech, and Language Processing27(1):89-98, January 2019.

E. M. Mugler, M. C. Tate, K. Livescu, J. W. Templer, M. A. Goldrick, M. W. Slutzky
"Differential representation of articulatory gestures and phonemes in motor, premotor, and inferior frontal cortices"
bioRxiv doi:10.1101/220723
J. Neuroscience38(46):9803-9813, 14 November 2018.

B. Shi, A. Martinez Del Rio, J. Keane, J. Michaux, D. Brentari, G. Shakhnarovich, and K. Livescu
"American Sign Language fingerspelling recognition in the wild"
SLT 2018
(data)

S. Toshniwal, A. Kannan, C.-C. Chiu, Y. Wu, T. N. Sainath, and K. Livescu
"A comparison of techniques for language model integration in encoder-decoder speech recognition"
SLT 2018

M. Chen, Q. Tang, K. Livescu, and K. Gimpel
"Variational sequential labelers for semi-supervised learning"
EMNLP 2018

S. Bansal, H. Kamper, K. Livescu, A. Lopez, S. Goldwater
"Low-resource speech-to-text translation"
Interspeech 2018

K. Krishna, S. Toshniwal, and K. Livescu
"Hierarchical multitask learning for CTC-based speech recognition"
arXiv:1807.06234

T. Tran, S. Toshniwal, M. Bansal, K. Gimpel, K. Livescu, and M. Ostendorf
"Parsing speech: A neural approach to integrating lexical and acoustic-prosodic information"
NAACL HLT 2018
(code)

K. Krishna, L. Lu, K. Gimpel, and K. Livescu
"A study of all-convolutional encoders for connectionist temporal classification"
ICASSP 2018

Q. Tang, W. Wang, and K. Livescu
"Acoustic feature learning using using cross-domain articulatory measurements"
ICASSP 2018

B. Shi and K. Livescu
"Multitask training with unlabeled data for end-to-end sign language fingerspelling recognition"
ASRU 2017
(data)

H. Kamper, K. Livescu, and S. Goldwater
"An embedded segmental k-means model for unsupervised segmentation and clustering of speech"
ASRU 2017(Best Paper nominee)
(code)

H. Tang, L. Lu, L. Kong, K. Gimpel, K. Livescu, C. Dyer, N. A. Smith, and S. Renals
"End-to-End Neural Segmental Models for Speech Recognition"
IEEE Journal of Selected Topics in Signal Processing 11(8):1254-1264, December 2017.

S. Toshniwal, H. Tang, L. Lu, and K. Livescu
"Multitask learning with low-level auxiliary tasks for encoder-decoder based speech recognition"
Interspeech 2017

H. Kamper, S. Settle, H. Kamper, G. Shakhnarovich, and K. Livescu
"Visually grounded learning of keyword prediction from untranscribed speech"
Interspeech 2017
(code)

S. Settle, K. Levin, H. Kamper, and K. Livescu
"Query-by-example search with discriminative neural acoustic word embeddings"
Interspeech 2017
(code)

Q. Tang, W. Wang, and K. Livescu
"Acoustic feature learning with deep variational canonical correlation analysis"
Interspeech 2017
(code, data)

T. Kim, J. Keane, W. Wang, H. Tang, J. Riggle, G. Shakhnarovich, D. Brentari, and K. Livescu
"Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation"
Computer Speech and Language 46:209-232, November 2017.
(data)

L. Tu, K. Gimpel, and K. Livescu
"Learning to Embed Words in Context for Syntactic Tasks"
ACL Workshop on Representation Learning for NLP (RepL4NLP) 2017(Best Paper award)

W. He, W. Wang, and K. Livescu
"Multi-view recurrent neural acoustic word embeddings"
ICLR 2017
(code, 1024-dimensional orthographic word embeddings for ~88K words)

S. Settle and K. Livescu
"Discriminative acoustic word embeddings: Recurrent neural network-based approaches"
SLT 2016

H. Tang, W. Wang, K. Gimpel, and K. Livescu
"End-to-end training approaches for discriminative segmental models"
SLT 2016

S. Toshniwal and K. Livescu
"Jointly learning to align and convert graphemes to phonemes with neural attention models"
SLT 2016
(code)
W. Wang, H. Lee, and K. Livescu
"Deep variational canonical correlation analysis"
arXiv:1610.03454
(code, data)


J. Wieting, M. Bansal, K. Gimpel, and K. Livescu
"Charagram: Embedding Words and Sentences via Character n-grams"
EMNLP 2016
(code, models)

H. Tang, W. Wang, K. Gimpel, and K. Livescu
"Efficient segmental cascades for speech recognition"
Interspeech 2016

W. Wang, H. Tang, and K. Livescu
"Triphone state-tying via deep canonical correlation analysis"
Interspeech 2016

P. Swaroop Madhyastha, M. Bansal, K. Gimpel, and K. Livescu
"Mapping unseen words to task-trained embedding spaces"
Workshop on Representation Learning for NLP, ACL 2016(Best Paper award)

T. Michaeli, W. Wang, and K. Livescu
"Nonparametric canonical correlation analysis"
ICML 2016
(code)

W. Wang and K. Livescu
"Large-scale approximate kernel canonical correlation analysis"
ICLR 2016

J. Wieting, M. Bansal, K. Gimpel, and K. Livescu
"Towards universal paraphrastic sentence embeddings"
ICLR 2016
(code)
(embeddings)

T. Kim, W. Wang, H. Tang, and K. Livescu
"Signer-independent fingerspelling recognition with deep neural network adaptation"
ICASSP 2016(Best Student Paper nominee)

H. Kamper, W. Wang, and K. Livescu
"Deep convolutional acoustic word embeddings using word-pair side information"
ICASSP 2016
(code)

K. Livescu, P. Jyothi, and E. Fosler-Lussier
"Articulatory Feature-Based Pronunciation Modeling" (preprint)
Computer Speech and Language 36:212-232, March 2016.
W. Wang, R. Arora, K. Livescu, and J. Bilmes
"On deep multi-view representation learning: Objectives and optimization"
arXiv:1602.01024 (long version of ICML 2015 paper)
(python code, Matlab code)


W. Wang, R. Arora, N. Srebro, and K. Livescu
"Stochastic optimization for deep CCA via nonlinear orthogonal iterations"
53rd Annual Allerton Conference on Communication, Control, and Computing, 2015.

H. Tang, W. Wang, K. Gimpel, and K. Livescu
"Discriminative segmental cascades for feature-rich phone recognition"
ASRU 2015(Best Paper nominee)
(code)

J. Wieting, M. Bansal, K. Gimpel, K. Livescu, and D. Roth
"From paraphrase database to compositional paraphrase model and back"
Trans. ACL 3:345-358, June 2015 (presented at EMNLP 2015).
(embeddings, data, code)

W. Wang, R. Arora, K. Livescu, and J. Bilmes
"On deep multi-view representation learning"
ICML 2015.
(long version)
(python code, Matlab code)


A. Lu, W. Wang, M. Bansal, K. Gimpel, and K. Livescu
"Deep multilingual correlation for improved word embeddings"
NAACL 2015.

W. Wang, R. Arora, K. Livescu, and J. Bilmes
"Unsupervised learning of acoustic features via deep canonical correlation analysis"
ICASSP 2015.
(data)
(python code, Matlab code)

W. Wang, R. Arora, and K. Livescu
"Reconstruction of articulatory measurements with smoothed low-rank matrix completion"
SLT 2014.

H. Tang, K. Gimpel, and K. Livescu
"A comparison of training approaches for discriminative segmental models"
Interspeech 2014.
(code)

P. Jyothi and K. Livescu
"Revisiting word neighborhoods for speech recognition"
ACL 2014 MORPHFSM Workshop.
(demo + code)

M. Bansal, K. Gimpel, and K. Livescu
"Tailoring continuous word representations for dependency parsing"
ACL 2014 (short).

R. Arora and K. Livescu
"Multi-view learning with supervision for transformed bottleneck features"
ICASSP 2014.

K. Levin, K. Henry, A. Jansen, and K. Livescu
"Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings"
ASRU 2013.(Best Student Paper 2nd place)

T. Kim, G. Shakhnarovich, and K. Livescu
"Fingerspelling recognition with semi-Markov conditional random fields"
ICCV 2013.

P. Jyothi, E. Fosler-Lussier, and K. Livescu
"Discriminative training of WFST factors with application to pronunciation modeling"
Interspeech 2013.

G. Andrew, R. Arora, J. Bilmes, and K. Livescu
"Deep canonical correlation analysis"
ICML 2013.

R. Prabhavalkar, K. Livescu, E. Fosler-Lussier, and J. Keshet
"Discriminative articulatory models for spoken term detection in low-resource conversational settings"
ICASSP 2013.

R. Arora and K. Livescu
"Multi-view CCA-based acoustic features for phonetic recognition across speakers and domains"
ICASSP 2013.

T. Kim, K. Livescu, and G. Shakhnarovich
"American Sign Language fingerspelling recognition with phonological feature-based tandem models"
SLT 2012.

K. Livescu, E. Fosler-Lussier, and F. Metze
"Subword modeling for automatic speech recognition: Past, present, and emerging approaches"
(preprint -- differs slightly from published version)
Signal Processing Magazine 29(6):44-57, November 2012.

R. Arora, A. Cotter, K. Livescu, and N. Srebro
"Stochastic optimization for PCA and PLS"
50th Annual Allerton Conference on Communication, Control, and Computing, 2012.

R. Arora and K. Livescu
"Kernel CCA for multi-view learning of acoustic features using articulatory measurements"
Symposium on Machine Learning in Speech and Language Processing (MLSLP) 2012.

R. Prabhavalkar, J. Keshet, K. Livescu, and E. Fosler-Lussier
"Discriminative spoken term detection with limited data"
Symposium on Machine Learning in Speech and Language Processing (MLSLP) 2012.

P. Jyothi, E. Fosler-Lussier, and K. Livescu
"Discriminatively learning factorized finite state pronunciation models from dynamic Bayesian networks"
Interspeech 2012.(Best Student Paper award)

H. Tang, J. Keshet, and K. Livescu
"Discriminative pronunciation modeling: A large-margin, feature-rich approach"
ACL 2012.

S. Bharadwaj, R. Arora, K. Livescu, and M. Hasegawa-Johnson
"Multi-view acoustic feature learning using articulatory measurements"
IEEE International Workshop on Statistical Machine Learning for Speech Processing (IWSML) 2012.

R. Prabhavalkar, E. Fosler-Lussier, and K. Livescu
"A factored conditional random field model for articulatory feature forced transcription"
ASRU 2011.

J. Labiak and K. Livescu
"Nearest neighbors with learned distances for phonetic frame classification"
Interspeech 2011.

A. B. Næss, K. Livescu, and R. Prabhavalkar
"Articulatory feature classification using nearest neighbors"
Interspeech 2011.

P. Jyothi, K. Livescu, and E. Fosler-Lussier
"Lexical access experiments with context-dependent articulatory feature-based models"
ICASSP 2011.

S. Bowman and K. Livescu
"Modeling pronunciation variation with context-dependent articulatory feature decision trees"
Interspeech 2010.

L. Terry, K. Livescu, J. Pierrehumbert, and A. Katsaggelos
"Audio-visual anticipatory coarticulation modeling by human and machine"
Interspeech 2010.

A. Margolis, K. Livescu, and M. Ostendorf
"Semi-supervised domain adaptation for automatic dialog act tagging"
DANLP 2010.

A. Margolis, M. Ostendorf, and K. Livescu
"Cross-genre training for automatic prosody classification"
Speech Prosody 2010.

K. Livescu and M. Stoehr
"Multi-view learning of acoustic features for speaker recognition"
ASRU 2009.

K. Saenko, K. Livescu, J. Glass, and T. Darrell
"Multistream articulatory feature-based models for visual speech recognition"
IEEE Trans. Pattern Analysis and Machine Intelligence 31(9):1700-1707, September 2009.

K. Chaudhuri, S. Kakade, K. Livescu, and K. Sridharan
"Multi-view clustering via canonical correlation analysis"
ICML 2009.

K. Livescu, B. Zhu, and J. Glass
"On the phonetic information in ultrasonic microphone signals"
ICASSP 2009.

O. Cetin, M. Magimai-Doss, K. Livescu, A. Kantor, S. King, C. Bartels, and J. Frankel
"Monolingual and crosslingual comparison of tandem features derived from articulatory and phone MLPs"
ASRU 2007.

J. Frankel, M. Magimai-Doss, S. King, K. Livescu, and O. Cetin
"Articulatory feature classifiers trained on 2000 hours of telephone speech"
Interspeech 2007.

M. Hasegawa-Johnson, K. Livescu, P. Lal, and K. Saenko
"Audiovisual speech recognition with articulator positions as hidden variables"
ICPhS 2007.

K. Livescu, O. Cetin, M. Hasegawa-Johnson, S. King, C. Bartels, N. Borges, A. Kantor, P. Lal, L. Yung, A. Bezman, S. Dawson-Haggerty, B. Woods, J. Frankel, M. Magimai-Doss, K. Saenko
"Articulatory feature-based methods for acoustic and audio-visual speech recognition: Summary from the 2006 JHU Summer Workshop"
ICASSP 2007.

O. Cetin, A. Kantor, S. King, C. Bartels, M. Magimai-Doss, J. Frankel, and K. Livescu
"An articulatory feature-based tandem approach and factored observation modeling"
ICASSP 2007.

K. Livescu, A. Bezman, N. Borges, L. Yung, O. Cetin, J. Frankel, S. King, M. Magimai-Doss, X. Chi, and L. Lavoie
"Manual transcription of conversational speech at the articulatory feature level"
ICASSP 2007.

S. King, J. Frankel, K. Livescu, E. McDermott, K. Richmond, and M. Wester
"Speech production knowledge in automatic speech recognition"
Journal of the Acoustical Society of America 121(2):723-742, February 2007.

K. Saenko and K. Livescu
"An Asynchronous DBN for Audio-Visual Speech Recognition"
SLT 2006.

K. Saenko, K. Livescu, M. Siracusa, K. Wilson, J. Glass, and T. Darrell
"Visual speech recognition with loosely synchronized feature streams"
ICCV 2005.

T. J. Hazen, I. L. Hetherington, H. Shu, and K. Livescu
"Pronunciation modeling using a finite-state transducer representation"
Speech Communication 46(2):189-203, June 2005.

M. Hasegawa-Johnson, J. Baker, S. Borys, K. Chen, E. Coogan, S. Greenberg, A. Juneja, K. Kirchhoff, K. Livescu, K. Sonmez, S. Mohan, J. Muller, and T. Wang
"Landmark-based speech recognition: Report of the 2004 Johns Hopkins Summer Workshop"
ICASSP 2005.

K. Saenko, K. Livescu, J. Glass, and T. Darrell
"Production domain modeling of pronunciation for visual speech recognition,"
ICASSP 2005.

K. Livescu and J. Glass
"Feature-based pronunciation modeling with trainable asynchrony probabilities"
ICSLP 2004.

K. Livescu and J. Glass
"Feature-based pronunciation modeling for speech recognition"
HLT/NAACL 2004.

K. Livescu, J. Glass, and J. Bilmes
"Hidden feature modeling for speech recognition using dynamic Bayesian networks"
Eurospeech 2003.

T. J. Hazen, I. L. Hetherington, H. Shu, and K. Livescu
"Pronunciation modeling using a finite-state transducer representation"
ISCA Tutorial and Research Workshop on Pronunciation Modeling and Lexicon Adaptation for Spoken Language (PMLA) 2002.

G. Zweig, J. Bilmes, T. Richardson, K. Filali, K. Livescu, P. Xu, K. Jackson, Y. Brandman, E. Sandness, E. Holtz, J. Torres, and B. Byrne
"Structurally discriminative graphical models for automatic speech recognition -- results from the 2001 Johns Hopkins Summer Workshop"
ICASSP 2002.

K. Livescu and J. Glass
"Segment-based recognition on the PhoneBook task: Initial results and observations on duration modeling."
Eurospeech 2001.

K. Livescu and J. Glass
"Lexical modeling of non-native speech for automatic speech recognition."
ICASSP 2000.

Technical reports, theses:

K. Livescu, O. Cetin, M. Hasegawa-Johnson, S. King, C. Bartels, N. Borges, A. Kantor, P. Lal, L. Yung, A. Bezman, S. Dawson-Haggerty, and B. Woods, "Articulatory Feature-based Methods for Acoustic and Audio-Visual Speech Recognition: 2006 JHU Summer Workshop Final Report." Center for Language and Speech Processing, Johns Hopkins University.

K. Livescu, "Feature-Based Pronunciation Modeling for Automatic Speech Recognition." Ph.D. Thesis, MIT Department of Electrical Engineering and Computer Science, September 2005.

M. Hasegawa-Johnson, J. Baker, S. Greenberg, K. Kirchhoff, J. Muller, K. Sonmez, S. Borys, K. Chen, A. Juneja, K. Livescu, S. Mohan, E. Coogan, and T. Wang,"Landmark-based Speech Recognition: Report of the 2004 Johns Hopkins Summer Workshop," Johns Hopkins University 2004 Summer Workshop final report.

J. Bilmes, G. Zweig, T. Richardson, K. Filali, K. Livescu, P. Xu, K. Jackson, Y. Brandman, E. Sandness, E. Holtz, J. Torres, and B. Byrne, "Discriminatively Structured Graphical Models for Speech Recognition." Johns Hopkins University 2001 Summer Workshop final report.

K. Livescu, "Analysis and Modeling of Non-Native Speech for Automatic Speech Recognition." S.M. Thesis, MIT Department of Electrical Engineering and Computer Science, August 1999.

K. Livescu, "Analysis of Human and Parrot Phonation Using an Energy Operator and Energy Separation Algorithm." A.B. Thesis, Princeton Department of Physics, April 1996.


Some neat speech links:

Listen to the sounds of the IPA chart

Why is it hard to understand the lyrics in high soprano singing? (It is not because they are singing in Middle High German)

An interactive vocal tract demo

A formant synthesis demo


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