RECURRENT NETS FOR PHONE PROBABILITY ESTIMATION
This paper presents an overview of the use of recurrent networks for phone probability estimation in large vocabulary speech recognition. The current system is described and recent recognition results on the TIMIT and Resource Management tasks in multiple-speaker mode are presented. Results on the speaker-independent Resource Management task are presented for the first time.
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