Detail publikace
Recurrent Neural Network based Language Modeling in Meeting Recognition
KOMBRINK, S. MIKOLOV, T. KARAFIÁT, M. BURGET, L.
Originální název
Recurrent Neural Network based Language Modeling in Meeting Recognition
Anglický název
Recurrent Neural Network based Language Modeling in Meeting Recognition
Jazyk
en
Originální abstrakt
In this paper we recommend the use of RNN language models as easy mean to improve an existing LVCSR system, either by improving ngram models using data sampled from an RNN or by performing the proposed rescoring and adaptation postprocessing steps.
Anglický abstrakt
In this paper we recommend the use of RNN language models as easy mean to improve an existing LVCSR system, either by improving ngram models using data sampled from an RNN or by performing the proposed rescoring and adaptation postprocessing steps.
Dokumenty
BibTex
@inproceedings{BUT76441,
author="Stefan {Kombrink} and Tomáš {Mikolov} and Martin {Karafiát} and Lukáš {Burget}",
title="Recurrent Neural Network based Language Modeling in Meeting Recognition",
annote="In this paper we recommend the use of RNN language models as easy mean to improve
an existing LVCSR system, either by improving ngram models using data sampled
from an RNN or by performing the proposed rescoring and adaptation postprocessing
steps.",
address="International Speech Communication Association",
booktitle="Proceedings of Interspeech 2011",
chapter="76441",
edition="NEUVEDEN",
howpublished="print",
institution="International Speech Communication Association",
number="8",
year="2011",
month="august",
pages="2877--2880",
publisher="International Speech Communication Association",
type="conference paper"
}