Detail publikačního výsledku

Using Smoothed Heteroscedastic Linear Discriminant Analysis in Large Vocabulary Continuous Speech Recognition System

KARAFIÁT, M.; BURGET, L.; ČERNOCKÝ, J.

Originální název

Using Smoothed Heteroscedastic Linear Discriminant Analysis in Large Vocabulary Continuous Speech Recognition System

Anglický název

Using Smoothed Heteroscedastic Linear Discriminant Analysis in Large Vocabulary Continuous Speech Recognition System

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

In this work, we verify that SHLDA can be advantageously used also for Large Vocabulary
Continuous Speech Recognition.

Anglický abstrakt

In this work, we verify that SHLDA can be advantageously used also for Large Vocabulary
Continuous Speech Recognition.

Klíčová slova

speech recognition, LVCSR, HLDA, feature transform, dimensionality reduction

Klíčová slova v angličtině

speech recognition, LVCSR, HLDA, feature transform, dimensionality reduction

Autoři

KARAFIÁT, M.; BURGET, L.; ČERNOCKÝ, J.

Vydáno

13.07.2005

Nakladatel

University of Edinburgh

Místo

Edinbourgh, Scotland

Kniha

2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms

Edice

tento článek nebyl zařazen mezi Revised Selected Papers, nevyšel v LNCS 3869

Strany od

1

Strany do

8

Strany počet

8

URL

https://www.fit.vutbr.cz/~karafiat/publi/2005/karafiat_mlmi2005.pdf

BibTex

@inproceedings{BUT18264,
  author="Martin {Karafiát} and Lukáš {Burget} and Jan {Černocký}",
  title="Using Smoothed Heteroscedastic Linear Discriminant Analysis in Large Vocabulary Continuous Speech Recognition System",
  booktitle="2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms",
  year="2005",
  series="tento článek nebyl zařazen mezi Revised Selected Papers, nevyšel v LNCS 3869",
  pages="1--8",
  publisher="University of Edinburgh",
  address="Edinbourgh, Scotland",
  url="https://www.fit.vutbr.cz/~karafiat/publi/2005/karafiat_mlmi2005.pdf"
}