Publication result detail

Ivector-Based Prosodic System For Language Identification

MARTÍNEZ GONZÁLEZ, D.; BURGET, L.; FERRER, L.; SCHEFFER, N.

Original Title

Ivector-Based Prosodic System For Language Identification

English Title

Ivector-Based Prosodic System For Language Identification

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

This paper is on a LID system based on prosodic features. Extraction of the pitch, energy, and duration allowsus to represent the three components of prosody.

English abstract

This paper is on a LID system based on prosodic features. Extraction of the pitch, energy, and duration allowsus to represent the three components of prosody.

Keywords

Language Identification, Prosody, iVectors,Joint Factor Analysis

Key words in English

Language Identification, Prosody, iVectors,Joint Factor Analysis

Authors

MARTÍNEZ GONZÁLEZ, D.; BURGET, L.; FERRER, L.; SCHEFFER, N.

RIV year

2013

Released

25.03.2012

Publisher

IEEE Signal Processing Society

Location

Kyoto

ISBN

978-1-4673-0044-5

Book

Proc. International Conference on Acoustics, Speec

Pages from

4861

Pages to

4864

Pages count

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2012/martinez_icassp2012_0004861.pdf

BibTex

@inproceedings{BUT91504,
  author="David {Martínez González} and Lukáš {Burget} and Luciana {Ferrer} and Nicolas {Scheffer}",
  title="Ivector-Based Prosodic System For Language Identification",
  booktitle="Proc. International Conference on Acoustics, Speec",
  year="2012",
  pages="4861--4864",
  publisher="IEEE Signal Processing Society",
  address="Kyoto",
  doi="10.1109/ICASSP.2012.6289008",
  isbn="978-1-4673-0044-5",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2012/martinez_icassp2012_0004861.pdf"
}