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System Combination by Driven Decoding
Abstract : The combination of Automatic Speech Recognition (ASR) systems generally relies on a posteriori merge of system outputs or on a cross-adaptation. In this paper, we propose an integrated approach where the search of a primary system is driven by the outputs of a secondary one. This method allows to drive the primary system search by using the one-best hypotheses and the word posteriors gathered from the secondary system. Experiments are carried out within the experimental framework of the ESTER evaluation campaign [1]. Results show that the driven decoding algorithm significantly outper-forms the two single ASR systems (-8% of relative WER,-1.7% absolute). Finally, we investigate the interactions between driven decoding and cross-adaptations. The best cross-adaptation strategy in combination with the driven decoding process brings to a final absolute gain of about 1.9% WER.
Cited literature [10 references]
https://hal.archives-ouvertes.fr/hal-01318073
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Submitted on : Thursday, November 9, 2017 - 9:24:29 AM
Last modification on : Tuesday, March 22, 2022 - 2:40:01 PM
Long-term archiving on: : Saturday, February 10, 2018 - 12:36:23 PM
Contributor : Bibliothèque Universitaire Déposants Hal-Avignon Connect in order to contact the contributor
Submitted on : Thursday, November 9, 2017 - 9:24:29 AM
Last modification on : Tuesday, March 22, 2022 - 2:40:01 PM
Long-term archiving on: : Saturday, February 10, 2018 - 12:36:23 PM
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