Detail publikace
Sequence-discriminative Training of Deep Neural Networks
VESELÝ, K. GHOSHAL, A. BURGET, L. POVEY, D.
Originální název
Sequence-discriminative Training of Deep Neural Networks
Anglický název
Sequence-discriminative Training of Deep Neural Networks
Jazyk
en
Originální abstrakt
This article presents experiments with DNN-HMM hybrid systems trained using frame-based cross-entropy and different sequence-discriminative criteria on the 300 hour Switchboard conversational telephone speech task.
Anglický abstrakt
This article presents experiments with DNN-HMM hybrid systems trained using frame-based cross-entropy and different sequence-discriminative criteria on the 300 hour Switchboard conversational telephone speech task.
Dokumenty
BibTex
@inproceedings{BUT103549,
author="Karel {Veselý} and Arnab {Ghoshal} and Lukáš {Burget} and Daniel {Povey}",
title="Sequence-discriminative Training of Deep Neural Networks",
annote="This article presents experiments with DNN-HMM hybrid systems trained using
frame-based cross-entropy and different sequence-discriminative criteria on the
300 hour Switchboard conversational telephone speech task.",
address="International Speech Communication Association",
booktitle="Proceedings of Interspeech 2013",
chapter="103549",
edition="NEUVEDEN",
howpublished="print",
institution="International Speech Communication Association",
number="8",
year="2013",
month="august",
pages="2345--2349",
publisher="International Speech Communication Association",
type="conference paper"
}