@inproceedings{bojar-EtAl:2015:WMT,

title = {Findings of the 2015 Workshop on Statistical Machine Translation},

author = {Bojar, Ondřej and Chatterjee, Rajen and Federmann, Christian and Haddow, Barry and Huck, Matthias and Hokamp, Chris and Koehn, Philipp and Logacheva, Varvara and Monz, Christof and Negri, Matteo and Post, Matt and Scarton, Carolina and Specia, Lucia and Turchi, Marco},

year  = {2015},

date = {2015-09-01},

booktitle = {Proceedings of the Tenth Workshop on Statistical Machine Translation},

pages = {1--46},

publisher = {Association for Computational Linguistics},

address = {Lisbon, Portugal},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{napoles2015ground,

title = {Ground Truth for Grammatical Error Correction Metrics},

author = {Napoles, Courtney and Sakaguchi, Keisuke and Post, Matt and Tetreault, Joel},

year  = {2015},

date = {2015-07-01},

booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},

pages = {588--593},

publisher = {Association for Computational Linguistics},

address = {Beijing, China},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{volkova-EtAl:2015:AAAI,

title = {Inferring Latent User Properties from Texts Published in Social Media (Demo)},

author = {Volkova, Svitlana and Yoram Bachrach and Michael Armstrong and Vijay Sharma},

url = {https://hltcoe.jhu.edu/wp-content/uploads/2016/11/17310_slides.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the Twenty-Ninth Conference on Artificial Intelligence (AAAI)},

address = {Austin, TX},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wintrode_Sell_EtAl_2015A,

title = {Content-Based Recommender Systems for Spoken Documents},

author = {Jonathan Wintrode and Gregory Sell and Aren Jansen and Michelle Fox and Daniel Garcia-Romero and Alan McCree},

url = {https://hltcoe.jhu.edu/wp-content/uploads/2016/10/Wintrode_Sell_EtAl_2015A.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing},

abstract = {Content-based recommender systems use preference ratings and features that characterize media to model users’ interests or information needs for making future recommendations. While previously developed in the music and text domains, we present an initial exploration of content-based recommendation for spoken documents using a corpus of public domain internet audio. Unlike familiar speech technologies of topic identification and spoken document retrieval, our recommendation task requires a more comprehensive notion of document relevance than bags-of-words would supply. Inspired by music recommender systems, we automatically extract a wide variety of content-based features to characterize non-linguistic aspects of the audio such as speaker, language, gender, and environment. To combine these heterogeneous information sources into a single relevance judgement, we evaluate feature, score, and hybrid fusion techniques. Our study provides an essential first exploration of the task and clearly demonstrates the value of a multisource approach over a bag-of-words baseline.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sell_Garcia-Romero_2015A,

title = {Diarization Resegmentation in the Factor Analysis Subspace},

author = {Gregory Sell and Daniel Garcia-Romero},

url = {https://hltcoe.jhu.edu/wp-content/uploads/2016/10/Sell_Garcia-Romero_2015A.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing},

abstract = {Resegmentation is an important post-processing step to refine the rough boundaries of diarization systems that rely on segment clustering of an initial uniform segmentation. Past work has primarily used a Viterbi resegmentation with MFCC features for this purpose. In this paper, we examine an algorithm for resegmentation that operates instead in factor analysis subspace. By combining this system with a speaker clustering front-end, we yield a diarization error rate of 11.5% on the CALLHOME conversational telephone speech corpus.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sell_Garcia-Romero_McCree_2015A,

title = {Speaker Diarization with I-Vectors from DNN Senone Posteriors},

author = {Gregory Sell and Daniel Garcia-Romero and Alan McCree},

url = {https://hltcoe.jhu.edu/wp-content/uploads/2016/10/Sell_Garcia-Romero_McCree_2015A.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of Interspeech},

abstract = {Motivated by recent gains in speaker identification by incorporating senone posteriors from deep neural networks (DNNs) into i-vector extraction, we examine similar enhancements to speaker diarization with i-vector clustering. We examine two DNNs with different numbers of senone targets in combination with a diagonal or full covariance universal background model (UBM) in the context of the multilingual corpus CALLHOME. Results show that the larger DNN with a full covariance UBM gives the best performance. The improvements appear to have a strong dependence on number of speakers in a conversation, and a lesser dependence on language. Overall, when combined with resegmentation, the proposed system improves CALLHOME performance to 10.3% DER.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wang:2015eu,

title = {Social Media as a Sensor of Air Quality and Public Response in China},

author = {Shiliang Wang and Michael Paul and Dredze, Mark},

year  = {2015},

date = {2015-01-01},

booktitle = {AAAI Workshop on the World Wide Web and Public Health Intelligence},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Pavlick:2015bs,

title = {FrameNet+: Fast Paraphrastic Tripling of FrameNet},

author = {Ellie Pavlick and Wolfe, Travis and Pushpendre Rastogi and Callison-Burch, Chris and Dredze, Mark and Van Durme, Benjamin},

year  = {2015},

date = {2015-01-01},

booktitle = {Association for Computational Linguistics (ACL) (short paper)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Peng:2015rt,

title = {Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings},

author = {Nanyun Peng and Dredze, Mark},

year  = {2015},

date = {2015-01-01},

booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Cohen:2015zl,

title = {Tobacco Watcher: Real-time Global Surveillance for Tobacco Control},

author = {Joanna Cohen and John Ayers and Dredze, Mark},

year  = {2015},

date = {2015-01-01},

booktitle = {World Conference on Tobacco or Health (WCTOH)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{volkova-EtAl:2015:AAAIb,

title = {Inferring Latent User Properties from Texts Published in Social Media (Demo)},

author = {Volkova, Svitlana and Yoram Bachrach and Michael Armstrong and Vijay Sharma},

url = {http://www.aclweb.org/anthology/P/P14/P14-1018},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the Twenty-Ninth Conference on Artificial Intelligence (AAAI)},

address = {Austin, TX},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Biggerstaff:2015kb,

title = {Results from the Centers for Disease Control and Prevention's Predict the 2013--2014 Influenza Season Challenge},

author = {M. Biggerstaff and D. Alper and Dredze, Mark and S. Fox and I. Fung and K. Hickmann and B. Lewis and R. Rosenfeld and J. Shaman and M-H. Tsou and P. Velardi and A. Vespignani and L. Finelli},

year  = {2015},

date = {2015-01-01},

booktitle = {International Conference of Emerging Infectious Diseases Conference},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{jansenlrec,

title = {Bridging the Gap between Speech Technology and Natural Language Processing: An Evaluation Toolbox for Term Discovery Systems},

author = {Bogdan Ludusan and Maarten Versteegh and Aren Jansen and Guillaume Gravier and Xuan-Nga Cao and Mark Johnson and Emmanuel Dupoux},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the Eighth international Conference on Language Resources and Evaluation (LREC)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{VolkovaCoppersmithVanDurmeACL14,

title = {Inferring User Political Preferences from Streaming Communications},

author = {Volkova, Svitlana and Coppersmith, Glen and Van Durme, Benjamin},

year  = {2014},

date = {2014-01-01},

booktitle = {Association for Computational Linguistics (ACL)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sell:2014A,

title = {Automatic Carrier Pitch Estimation for Coherent Demodulation},

author = {Gregory Sell},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},

abstract = {This paper proposes a method for estimating carrier frequencies for coherent demodulation using low-frequency amplitude modulation criteria and a frequency-smoothing regularizer. This process combines with coherent modulator estimation to create an iterative approach for simultaneously determining the optimally low-frequency modulator and corresponding carrier for an arbitrary signal. The method is demonstrated with unsupervised semi-blind source separation of speech mixed with several types of tonal interference.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Andrews:2014fk,

title = {Robust Entity Clustering via Phylogenetic Inference},

author = {Andrews, Nicholas and Eisner, Jason and Dredze, Mark},

year  = {2014},

date = {2014-01-01},

booktitle = {Association for Computational Linguistics (ACL)},

abstract = {Entity clustering must determine when two named-entity mentions refer to the same entity. Typical approaches use a pipeline architecture that clusters the mentions using fixed or learned measures of name and context similarity. In this paper, we propose a model for cross-document coreference resolution that achieves robustness by learning similarity from unlabeled data. The generative process assumes that each entity mention arises from copying and optionally mutating an earlier name from a similar context. Clustering the mentions into entities depends on recovering this copying tree jointly with estimating models of the mutation process and parent selection process. We present a block Gibbs sampler for posterior inference and an empirical evalution on several datasets. On a challenging Twitter corpus, our method outperforms the best baseline by 12.6 points of F1 score.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sell.Garcia-Romero:2014A,

title = {Speaker Diarization with PLDA I-Vector Scoring and Unsupervised Calibration},

author = {Gregory Sell and Daniel Garcia-Romero},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the IEEE Spoken Language Technology Workshop},

abstract = {Speaker diarization via unsupervised i-vector clustering has gained popularity in recent years. In this approach, i-vectors are extracted from short clips of speech segmented from a larger multi-speaker conversation and organized into speaker clusters, typically according to their cosine score. In this paper, we propose a system that incorporates probabilistic linear discriminant analysis (PLDA) for i-vector scoring, a method already frequently utilized in speaker recognition tasks, and uses unsupervised calibration of the PLDA scores to determine the clustering stopping criterion. We also demonstrate that denser sampling in the i-vector space with overlapping temporal segments provides a gain in the diarization task. We test our system on the CALLHOME conversational telephone speech corpus, which includes multiple languages and a varying number of speakers, and we show that PLDA scoring outperforms the same system with cosine scoring, and that overlapping segments reduce diarization error rate (DER) as well.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{jansenidiolect,

title = {Unsupervised Idiolect Discovery for Speaker Recognition},

author = {Aren Jansen and Garcia-Romero, Daniel and Clark, Pascal and Jaime Hernandez-Cordero},

year  = {2014},

date = {2014-01-01},

booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},

abstract = {Short-time spectral characterizations of the human voice have 

proven to be the most dependable features available to modern 

speaker recognition systems. However, it is well-known that highlevel 

linguistic information such as word usage and pronunciation 

patterns can provide complementary discriminative power. In an 

automatic setting, the availability of these idiolectal cues is dependent 

on access to a word or phonetic tokenizer, ideally in the given 

language and domain. In this paper, we propose a novel approach to 

speaker recognition that leverages recently developed zero-resource 

term discovery algorithms to identify speaker-characteristic lexical 

and phrasal acoustic patterns without the need for any supervised 

speech recognition tools. We use the enrollment audio itself to score 

each trial and perform no model training (supervised or unsupervised) 

at any stage of the processing, allowing immediate application 

to any language or domain. We evaluate our approach on the 

extended 8-conversation core condition of the 2010 NIST SRE and 

demonstrate a 16% relative (0.06 absolute) reduction in minDCF 

when combined with a state-of-the-art unsupervised i-vector cosine 

system.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{YaoVanDurmeACL14,

title = {Information Extraction over Structured Data: Question Answering with Freebase},

author = {Xuchen Yao and Van Durme, Benjamin},

year  = {2014},

date = {2014-01-01},

booktitle = {Association for Computational Linguistics (ACL)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{YaoBerantVanDurmeACL14,

title = {Freebase QA: Information Extraction or Semantic Parsing?},

author = {Xuchen Yao and Jonathan Berant and Van Durme, Benjamin},

year  = {2014},

date = {2014-01-01},

booktitle = {Association for Computational Linguistics (ACL), Workshop on Semantic Parsing},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Dredze:2014fk,

title = {HealthTweets.org: A Platform for Public Health Surveillance using Twitter},

author = {Dredze, Mark and Renyuan Cheng and Michael Paul and David Broniatowski},

url = {http://www.aaai.org/ocs/index.php/WS/AAAIW14/paper/download/8723/8218},

year  = {2014},

date = {2014-01-01},

booktitle = {AAAI Workshop on the World Wide Web and Public Health Intelligence},

abstract = {We present HealthTweets.org, a new platform for sharing the latest research results on Twitter data with researchers and public officials. In this demo paper, we describe data collection, processing, and features of the site. The goal of this service is to transition results from research to practice.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sell.Clark:2014A,

title = {Music Tonality Features for Speech/Music Discrimination},

author = {Gregory Sell and Pascal Clark},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},

abstract = {We introduce a novel set of features for speech/music discrimination derived from chroma vectors, a feature that represents musical tonality. These features are shown to outperform other commonly used features in multiple conditions and corpora. Even when trained on mismatched data, the new features perform well on their own and also combine with existing features for further improvement. We report 97.1% precision on speech and 93.0% precision on music for the Broadcast News corpus using a simple classifier trained on a mismatched corpus.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{post2013improvedb,

title = {Improved Speech-to-Text Translation with the Fisher and Callhome Spanish--English Speech Translation Corpus},

author = {Post, Matt and Kumar, Gaurav and Lopez, Adam and Karakos, Damianos and Callison-Burch, Chris and Khudanpur, Sanjeev},

year  = {2013},

date = {2013-12-01},

booktitle = {Proceedings of the International Workshop on Spoken Language Translation (IWSLT)},

address = {Heidelberg, Germany},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{post2013improved,

title = {Improved Speech-to-Text Translation with the Fisher and Callhome Spanish--English Speech Translation Corpus},

author = {Post, Matt and Gaurav Kumar and Lopez, Adam and Karakos, Damianos and Callison-Burch, Chris and Khudanpur, Sanjeev},

year  = {2013},

date = {2013-12-01},

booktitle = {Proceedings of the International Workshop on Spoken Language Translation (IWSLT)},

address = {Heidelberg, Germany},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{HLTCOE_Participation_at_TAC_2013,

title = {HLTCOE Participation at TAC 2013},

author = {McNamee, Paul and Finin, Tim and Lawrie, Dawn and Mayfield, James},

year  = {2013},

date = {2013-11-01},

booktitle = {Proceedings of the Sixth Text Analysis Conference},

publisher = {National Institute of Standards and Technology},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{lopez2013beyond,

title = {Beyond Bitext: Five open problems in machine translation},

author = {Lopez, Adam and Post, Matt},

year  = {2013},

date = {2013-10-01},

booktitle = {Twenty Years of Bitext},

address = {Seattle, Washington, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{lopez2013beyondb,

title = {Beyond Bitext: Five open problems in machine translation},

author = {Lopez, Adam and Post, Matt},

year  = {2013},

date = {2013-10-01},

booktitle = {Twenty Years of Bitext},

address = {Seattle, Washington, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{volkova-EtAl:2013:ACL,

title = {Exploring Sentiment in Social Media: Bootstrapping Subjectivity Clues from Multilingual Twitter Streams},

author = {Volkova, Svitlana and Wilson, Theresa and Yarowsky, David},

url = {http://www.aclweb.org/anthology/P13-2090},

year  = {2013},

date = {2013-08-01},

booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},

pages = {505--510},

publisher = {Association for Computational Linguistics},

address = {Sofia, Bulgaria},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bojar-EtAl:2013:WMT,

title = {Findings of the 2013 Workshop on Statistical Machine Translation},

author = {Ondrej Bojar and Christian Buck and Callison-Burch, Chris and Christian Federmann and Barry Haddow and Philipp Koehn and Christof Monz and Post, Matt and Radu Soricut and Lucia Specia},

url = {http://www.aclweb.org/anthology/W13-2201},

year  = {2013},

date = {2013-08-01},

booktitle = {Eighth Workshop on Statistical Machine Translation},

pages = {1--44},

publisher = {Association for Computational Linguistics},

address = {Sofia, Bulgaria},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{irvine-callisonburch:2013:WMT,

title = {Combining Bilingual and Comparable Corpora for Low Resource Machine Translation},

author = {Irvine, Ann and Callison-Burch, Chris},

url = {http://www.aclweb.org/anthology/W13-2233},

year  = {2013},

date = {2013-08-01},

booktitle = {Eighth Workshop on Statistical Machine Translation},

pages = {262--270},

publisher = {Association for Computational Linguistics},

address = {Sofia, Bulgaria},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{post-EtAl:2013:WMT,

title = {Joshua 5.0: Sparser, Better, Faster, Server},

author = {Post, Matt and Juri Ganitkevitch and Luke Orland and Jonathan Weese and Yuan Cao and Callison-Burch, Chris},

url = {http://www.aclweb.org/anthology/W13-2226},

year  = {2013},

date = {2013-08-01},

booktitle = {Eighth Workshop on Statistical Machine Translation},

pages = {206--212},

publisher = {Association for Computational Linguistics},

address = {Sofia, Bulgaria},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{post-bergsma:2013:Short,

title = {Explicit and Implicit Syntactic Features for Text Classification},

author = {Post, Matt and Bergsma, Shane},

year  = {2013},

date = {2013-08-01},

booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},

pages = {866--872},

publisher = {Association for Computational Linguistics},

address = {Sofia, Bulgaria},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bojar-EtAl:2013:WMTb,

title = {Findings of the 2013 Workshop on Statistical Machine Translation},

author = {Bojar, Ondřej and Buck, Christian and Callison-Burch, Chris and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Monz, Christof and Post, Matt and Soricut, Radu and Specia, Lucia},

year  = {2013},

date = {2013-08-01},

booktitle = {Proceedings of the Eighth Workshop on Statistical Machine Translation},

pages = {1--44},

publisher = {Association for Computational Linguistics},

address = {Sofia, Bulgaria},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{jan_is13b,

title = {Semi-Supervised Manifold Learning Approaches for Spoken Term Verification},

author = {Atta Norouzian and Rose, Rick and Aren Jansen},

url = {http://www.isca-speech.org/archive/interspeech_2013/i13_2594.html},

year  = {2013},

date = {2013-01-01},

booktitle = {Interspeech},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{joshi:2013,

title = {What's in a Domain? Multi-Domain Learning for Multi-Attribute Data},

author = {Mahesh Joshi and Dredze, Mark and William Cohen and Carolyn P. Rose},

url = {http://aclweb.org/anthology/N/N13/N13-1080.pdf},

year  = {2013},

date = {2013-01-01},

booktitle = {North American Chapter of the Association for Computational Linguistics (NAACL)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{jan_asru13,

title = {Fixed-Dimensional Acoustic Embeddings of Variable-Length Segments in Low-Resource Settings},

author = {Levin, Keith and Katharine Henry and Aren Jansen and Karen Livescu},

year  = {2013},

date = {2013-01-01},

booktitle = {ASRU},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Volkova_2013_NAACL,

title = {Learning to Relate Literal and Sentimental Descriptions of Visual Properties},

author = {Mark Yatskar and Volkova, Svitlana and Alsi Celikyilmaz and Bill Dolan and Luke Zettlemoyer},

url = {http://aclweb.org/anthology/N/N13/N13-1043.pdf},

year  = {2013},

date = {2013-01-01},

booktitle = {North American Chapter of the Association for Computational Linguistics (NAACL)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{b,

title = {Attributes in Visual Object Reference},

author = {Mitchell, Margaret and Kees van Deemter and Ehud Reiter},

url = {http://pre2013.uvt.nl/pdf/mitchell-reiter-vandeemter.pdf},

year  = {2013},

date = {2013-01-01},

booktitle = {PRE-CogSci},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{hermansky2013long,

title = {Long, Deep and Wide Artificial Neural Nets for Dealing with Unexpected Noise in Machine Recognition of Speech},

author = {Hermansky, Hynek},

year  = {2013},

date = {2013-01-01},

booktitle = {Text, Speech, and Dialogue},

pages = {14--21},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{b,

title = {Frequency Offset Correction in Speech without Detecting Pitch},

author = {Clark, Pascal and Sri Harish Mallidi and Aren Jansen and Hermansky, Hynek},

year  = {2013},

date = {2013-01-01},

booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}