Publication result detail

Extensions of Recurrent Neural Network Language Model

MIKOLOV, T.; KOMBRINK, S.; BURGET, L.; ČERNOCKÝ, J.; KHUDANPUR, S.

Original Title

Extensions of Recurrent Neural Network Language Model

English Title

Extensions of Recurrent Neural Network Language Model

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

This paper describes results that we obtained when using extensions of Recurrent Neural Network (RNN) Language Model.

English abstract

This paper describes results that we obtained when using extensions of Recurrent Neural Network (RNN) Language Model.

Keywords

language modeling, recurrent neural networks, speech recognition

Key words in English

language modeling, recurrent neural networks, speech recognition

Authors

MIKOLOV, T.; KOMBRINK, S.; BURGET, L.; ČERNOCKÝ, J.; KHUDANPUR, S.

RIV year

2012

Released

22.05.2011

Publisher

IEEE Signal Processing Society

Location

Praha

ISBN

978-1-4577-0537-3

Book

Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011

Pages from

5528

Pages to

5531

Pages count

4

URL

https://www.fit.vut.cz/research/publication/9658/

BibTex

@inproceedings{BUT76388,
  author="Tomáš {Mikolov} and Stefan {Kombrink} and Lukáš {Burget} and Jan {Černocký} and Sanjeev {Khudanpur}",
  title="Extensions of Recurrent Neural Network Language Model",
  booktitle="Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011",
  year="2011",
  pages="5528--5531",
  publisher="IEEE Signal Processing Society",
  address="Praha",
  isbn="978-1-4577-0537-3",
  url="https://www.fit.vut.cz/research/publication/9658/"
}