Publication 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

conference paper

Language

en

Original Abstract

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

Keywords

Language Identification, Prosody, iVectors, Joint Factor Analysis

RIV year

2012

Released

25.03.2012

Publisher

IEEE Signal Processing Society

Location

Kyoto

ISBN

978-1-4673-0044-5

Book

Proc. International Conference on Acoustics, Speec

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

4861

Pages to

4864

Pages count

4

URL

Documents

BibTex


@inproceedings{BUT91504,
  author="David {Martínez González} and Lukáš {Burget} and Luciana {Ferrer} and Nicolas {Scheffer}",
  title="Ivector-Based Prosodic System For Language Identification",
  annote="This paper is on a LID system based on prosodic features. Extraction of the
pitch, energy, and duration allows us to represent the three components of
prosody.",
  address="IEEE Signal Processing Society",
  booktitle="Proc. International Conference on Acoustics, Speec",
  chapter="91504",
  doi="10.1109/ICASSP.2012.6289008",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  year="2012",
  month="march",
  pages="4861--4864",
  publisher="IEEE Signal Processing Society",
  type="conference paper"
}