AMI Resources

The AMI team has expertise and experience in speech recognition, educational assessment, product development, machine learning, automated scoring, and psychometrics. A sample of key papers are included below, as well as two Moby.Read documents.

Moby.Read Resources

Team Papers and Presentations

J. Cheng, "Real-Time Scoring of an Oral Reading Assessment on Mobile Devices". Proc. Interspeech 2018, 1621-1625, DOI: 10.21437/Interspeech.2018-34.

J. Bernstein, J.Cheng, J. Balogh, & R. Downey (2018) Artificial intelligence for scoring oral reading fluency. Applications of artificial intelligence to assessment, H. Jiao & R. Lissitz, Eds. Charlotte, NC: Information Age Publisher.

J. Bernstein, J. Sabatini, J. Balogh, J. Cheng (2017) “Oral Reading Assessment: Leveled Fluency, Self-Administered and Automatically Scored”. California Educational Research Association (CERA) 96th Annual Conference, November 29 through December 1. 

J. Cheng, X. Chen & A. Metallinou (2015) “Deep Neural Network Acoustic Models for Spoken Assessment Applications”, Speech Communication 73, 14-27.

L. Ramachandran, J. Cheng & P. Foltz (2015) “Identifying Patterns For Short Answer Scoring Using Graph-based Lexico-Semantic Text Matching”, Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 97-106, Denver, Colorado USA, June 4, 2015.

Jian Cheng, Yuan Zhao D’Antilio, Xin Chen, Jared Bernstein. Automatic Spoken Assessment of Young English Language Learners. In Proc. of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, 12-21, Baltimore, Maryland USA, June 26, 2014.

A. Metallinou & J. Cheng (2014) “Using Deep Neural Networks to Improve Proficiency Assessment for Children English Language Learners”. Proceedings of Interspeech, 1468-1472, Singapore, Sept.

J. Bernstein, O. Todic, K. Neumeyer, K. Schultz, & L. Zhao (2013) “Young Children’s Performance on Self-administered iPad Language Activities”. Proc. SLaTE 2013, Grenoble, U. Grenoble. 24-25.

J. Balogh, J. Bernstein, J. Cheng, A. Van Moere, B. Townshend, & M. Suzuki (2012) “Validation of Automated Scoring of Oral Reading”. Educational & Psychological Measurement, 72(3), pp. 435-452.

J. Bernstein (2012) “Computer Scoring of Spoken Responses”. The Encyclopedia of Applied Linguistics. DOI: 10.1002/9781405198431.wbeal1044

J. Cheng (2011) “Automatic Assessment of Prosody in High-Stakes English Tests”. Proceedings of Interspeech, 1589-1592, Florence, Italy, August 28- 31, 2011.

J. Bernstein, A. Van Moere & J. Cheng (2010) “Validating automated speaking tests”, Language Testing 27(3) 355-377.

J. Cheng & B. Townshend (2009) “A Rule-Based Language Model for Reading Recognition”. In SLaTE 2009, 33-36.

J. Bernstein & J. Cheng (2008) “Logic and Validation of a Fully Automatic Spoken English Test”, chapter 8 in V.M. 

J. Balogh & J. Bernstein (2007) “Workable Models of Standard Performance in English and Spanish”. Diversity and Universals in Language, Stanford, California: CSLI.

E. Rosenfeld, D. Massaro & J. Bernstein (2003). “Automatic analysis of vocal manifestations of apparent mood or affect”. Proceedings of the 3rd  international workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (pp.5-8). Firenze, Italy: Firenze University Press.

E. Rosenfeld, D. Massaro & J. Bernstein (2003). “Automatic analysis of vocal manifestations of apparent mood or affect”. Proceedings of the 3rd  international workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (pp.5-8). Firenze, Italy: Firenze University Press.

J. Cheng & M. J. Druzdzel (2000) “AIS-­BN: An adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks”. Journal of Artificial Intelligence Research, 13:155-188, 2000.

F. Ehsani, J. Bernstein, A. Najmi (2000) “An interactive dialog system for learning Japanese” Speech Communication, 30 (2-3) pp. 167-177.

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