Abstract
In this paper we study various front-end features, modeling and adaptation algorithms on the Aurora 3 databases, including auditory, moment, and AM-FM modulation features, context-dependent digit models, segmental K-means training, discriminative training, and model adaptations. The evaluation results on Aurora 3 are presented with a brief summary of our Aurora 2 results.
Original language | English |
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Pages | 229-232 |
Number of pages | 4 |
State | Published - 2002 |
Externally published | Yes |
Event | 7th International Conference on Spoken Language Processing, ICSLP 2002 - Denver, United States Duration: 16 Sep 2002 → 20 Sep 2002 |
Conference
Conference | 7th International Conference on Spoken Language Processing, ICSLP 2002 |
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Country/Territory | United States |
City | Denver |
Period | 16/09/02 → 20/09/02 |