Publications

Found 11 results
Author Title Type [ Year(Asc)]
Filters: Author is Shawn Chang  [Clear All Filters]
2003
Chen, B. Y., Chang S., & Sivadas S. (2003).  Learning Discriminative Temporal Patterns in Speech: Development of Novel TRAPS-Like Classifiers. Proceedings of EUROSPEECH 2003.
2002
Chang, S. (2002).  A Syllable, Articulatory-Feature, and Stress-Accent Model of Speech Recognition.
Chang, S. (2002).  A Syllable, Articulatory-Feature, and Stress-Accent Model of Speech Recognition.
2001
Wester, M., Greenberg S., & Chang S. (2001).  A Dutch Treatment of an Elitist Approach to Articulatory-Acoustic Feature Classification. Proceedings of the 7th European Conference on Speech Communication and Technology (Eurospeech 2001).
Chang, S., Greenberg S., & Wester M. (2001).  An Elitist Approach to Articulatory-Acoustic Feature Classification. Proceedings of the 7th European Conference on Speech Communication and Technology (Eurospeech 2001).
Greenberg, S., Chang S., & Hitchcock L. (2001).  The Relation Between Stress Accent and Vocalic Identity in Spontaneous American English Discourse. Proceedings of ISCA Workshop on Prosody in Speech Recognition and Understanding.
2000
Chang, S., Shastri L., & Greenberg S. (2000).  Automatic Phonetic Transcription of Spontaneous Speech American English. Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP 2000).
Greenberg, S., Chang S., & Hollenback J. (2000).  An Introduction to the Diagnostic Evaluation of the Switchboard-Corpus Automatic Speech Recognition Systems. Proceedings of the National Institute of Standards and Technology Speech Transcription Workshop.
Greenberg, S., & Chang S. (2000).  Linguistic Dissection of Switchboard-Corpus Automatic Speech Recognition Systems. Proceedings of the ISCA Workshop on Automatic Speech Recognition: Challenges for the New Millennium.
1999
Shastri, L., & Chang S. (1999).  A Spatiotemporal Connectionist Model of Algebraic Rule-Learning.
Shastri, L., Chang S., & Greenberg S. (1999).  Syllable Detection and Segmentation Using Temporal Flow Neural Networks. Proceedings of the International Congress of Phonetic Sciences. 3, 1721-1724.