Detail publikace

Neural Network Bottleneck Features for Language Identification

MATĚJKA, P. ZHANG, L. NG, T. MALLIDI, S. GLEMBEK, O. MA, J. ZHANG, B.

Originální název

Neural Network Bottleneck Features for Language Identification

Anglický název

Neural Network Bottleneck Features for Language Identification

Jazyk

en

Originální abstrakt

We have presented the bottleneck features in the context of Language identification. It combines benefits of both phonotactic and acoustic system. Usually, the phonotactic system is favorable for the long duration files, while acoustic for the short ones. This approach takes the advantage of both. In addition, we can also use modeling of context dependent phonemes in bottleneck features. This brings very nice improvement over the context independent phonemes.

Anglický abstrakt

We have presented the bottleneck features in the context of Language identification. It combines benefits of both phonotactic and acoustic system. Usually, the phonotactic system is favorable for the long duration files, while acoustic for the short ones. This approach takes the advantage of both. In addition, we can also use modeling of context dependent phonemes in bottleneck features. This brings very nice improvement over the context independent phonemes.

Dokumenty

BibTex


@inproceedings{BUT111630,
  author="Pavel {Matějka} and Le {Zhang} and Tim {Ng} and Sri Harish {Mallidi} and Ondřej {Glembek} and Jeff {Ma} and Bing {Zhang}",
  title="Neural Network Bottleneck Features for Language Identification",
  annote="We have presented the bottleneck features in the context of Language
identification. It combines benefits of both phonotactic and acoustic system.
Usually, the phonotactic system is favorable for the long duration files, while
acoustic for the short ones. This approach takes the advantage of both. In
addition, we can also use modeling of context dependent phonemes in bottleneck
features. This brings very nice improvement over the context independent
phonemes.",
  address="International Speech Communication Association",
  booktitle="Proceedings of Odyssey 2014",
  chapter="111630",
  edition="NEUVEDEN",
  howpublished="online",
  institution="International Speech Communication Association",
  number="6",
  year="2014",
  month="june",
  pages="299--304",
  publisher="International Speech Communication Association",
  type="conference paper"
}