Prosodic features and formant modeling for an ivector-based language recognition system

@article{Gonzlez2013ProsodicFA,
  title={Prosodic features and formant modeling for an ivector-based language recognition system},
  author={David Mart{\'i}nez Gonz{\'a}lez and Eduardo Lleida and Alfonso Ortega and Antonio Miguel},
  journal={2013 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2013},
  pages={6847-6851}
}
The prosody of a language is encoded in syllable length, loudness and pitch. These attributes make humans perceive rhythm, stress and intonation in speech. Depending on the language, these speech properties vary, making language classification possible. On the other hand, formants are the resonance frequencies of the vocal tract, depend heavily on the position adopted by the articulatory organs, and are especially useful to disambiguate vowel sounds. In this paper prosodic and formant… CONTINUE READING
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References

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A Comparison of Approaches for Modeling Prosodic Features in Speaker Recognition

  • L.Ferrer
  • Proc . Inter - speech
  • 2010
Highly Influential
4 Excerpts

Černocký, “Investigations into Prosodic Syllable Contour Features for Speaker Recognition

  • M. Kockmann, J. L. Burget
  • 2010
Highly Influential
5 Excerpts

Phoneme Recognition Based on Long Temporal Context

  • P. Schwarz
  • Ph.D. Thesis, Brno University of Technology,
  • 2009
1 Excerpt

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