Paper Info
Title
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition
Abstract
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding zero resource (unsupervised) speech technologies and related models of early language acquisition. Centered around the tasks of phonetic and lexical discovery, we consider unified evaluation metrics, present two new approaches for improving speaker independence in the absence of supervision, and evaluate the application of Bayesian word segmentation algorithms to automatic subword unit tokenizations. Finally, we present two strategies for integrating zero resource techniques into supervised settings, demonstrating the potential of unsupervised methods to improve mainstream technologies.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6639245
ICASSP
Keywords
Field
DocType
acoustics,hidden markov models,language acquisition,speech,computational modeling,speech recognition
Pattern recognition,Computer science,Text segmentation,Language acquisition,Artificial intelligence,Natural language processing,Machine learning,Bayesian probability
Conference
ISSN
Citations 
PageRank 
1520-6149
40
1.56
References 
Authors
22
27
Name
Order
Citations
PageRank
Lorena Álvarez150436.47
Emmanuel Dupoux223837.33
Sharon Goldwater3401.90
Mark Johnson43533331.42
Sanjeev Khudanpur52155202.00
Kenneth W. Church647301415.25
naomi h feldman7648.62
Hynek Hermansky83298510.27
Florian Metze91069106.49
Richard C. Rose1031649.58
Mike Seltzer111044.08
Pascal Clark12794.90
Ian McGraw1325324.41
Varadarajan Balakrishnan1429916.58
Erin Bennett15422.03
Benjamin Börschinger16865.39
Justin Chiu17918.30
Ewan Dunbar18715.08
Abdellah Fourtassi19546.06
David Harwath20433.29
Chia-Ying Lee2118513.26
Keith Levin22401.56
Atta Norouzian23523.12
Vijayaditya Peddinti2422912.17
Rachael Richardson25401.90
Thomas Schatz26562.44
Samuel Thomas2753646.88