Publication detail

Strategies for Training Large Scale Neural Network Language Models

MIKOLOV, T. DEORAS, A. POVEY, D. BURGET, L. ČERNOCKÝ, J.

Original Title

Strategies for Training Large Scale Neural Network Language Models

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Techniques for effective training of recurrent neural network based language models are described, and new state-of-the-art results on standard speech recognition task are reported.

Keywords

recurrent neural network, language model, speech recognition, maximum entropy

Authors

MIKOLOV, T.; DEORAS, A.; POVEY, D.; BURGET, L.; ČERNOCKÝ, J.

RIV year

2011

Released

11. 12. 2011

Publisher

IEEE Signal Processing Society

Location

Hilton Waikoloa Village, Big Island, Hawaii

ISBN

978-1-4673-0366-8

Book

Proceedings of ASRU 2011

Pages from

196

Pages to

201

Pages count

6

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2011/mikolov_asru2011_00196.pdf

BibTex

@inproceedings{BUT76453,
  author="Tomáš {Mikolov} and Anoop {Deoras} and Daniel {Povey} and Lukáš {Burget} and Jan {Černocký}",
  title="Strategies for Training Large Scale Neural Network Language Models",
  booktitle="Proceedings of ASRU 2011",
  year="2011",
  pages="196--201",
  publisher="IEEE Signal Processing Society",
  address="Hilton Waikoloa Village, Big Island, Hawaii",
  isbn="978-1-4673-0366-8",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2011/mikolov_asru2011_00196.pdf"
}