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The IBM keyword search system for the DARPA RATS program
- Source :
- ASRU
- Publication Year :
- 2013
- Publisher :
- IEEE, 2013.
-
Abstract
- The paper describes a state-of-the-art keyword search (KWS) system in which significant improvements are obtained by using Convolutional Neural Network acoustic models, a two-step speech segmentation approach and a simplified ASR architecture optimized for KWS. The system described in this paper had the best performance in the 2013 DARPA RATS evaluation for both Levantine and Farsi.
Details
- Database :
- OpenAIRE
- Journal :
- 2013 IEEE Workshop on Automatic Speech Recognition and Understanding
- Accession number :
- edsair.doi...........9452d022582f7091db1799ad4df3c527