@inproceedings{bohus2008joint,
author = {Bohus, Dan and Zweig, Geoffrey and Nguyen, Patrick and Li, Xiao},
title = {Joint N-Best Rescoring for Repeated Utterances in Spoken Dialog Systems},
booktitle = {Spoken Language Technology Workshop, 2008. SLT 2008. IEEE},
year = {2008},
month = {December},
abstract = {Due to speech recognition errors, repetitions are a frequent phenomenon in spoken dialog systems. In previous work we have proposed a joint decoding model that can leverage structural relationships between repeated utterances for improving recogni-tion performance. In this paper we extend this work in two directions. First, we propose a direct, classification-based model for the same task. The new model can leverage features that were fundamentally hard to capture in the previous framework (e.g. spellings, false-starts, etc.) and leads to an additional performance improvement. Second, we show how both models can be used to perform a combined rescoring of two n-best lists that are part of a repetition pair.},
publisher = {IEEE},
url = {http://approjects.co.za/?big=en-us/research/publication/joint-n-best-rescoring-repeated-utterances-spoken-dialog-systems/},
edition = {Spoken Language Technology Workshop, 2008. SLT 2008. IEEE},
}