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}
}
  • David Martínez González, Eduardo Lleida, +1 author Antonio Miguel
  • Published 2013
  • Computer Science
  • 2013 IEEE International Conference on Acoustics, Speech and Signal Processing
  • 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

    Publications referenced by this paper.
    SHOWING 1-10 OF 20 REFERENCES

    iVector-based prosodic system for language identification

    VIEW 5 EXCERPTS

    Modeling Prosodic Features With Joint Factor Analysis for Speaker Verification

    VIEW 1 EXCERPT

    A comparison of approaches for modeling prosodic features in speaker recognition

    VIEW 1 EXCERPT

    Investigations into prosodic syllable contour features for speaker recognition

    VIEW 2 EXCERPTS

    Language identification using noisy speech

    • Jerry T. Foil
    • Computer Science
    • ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing
    • 1986
    VIEW 1 EXCERPT

    Language identification using pitch contour information

    • Chi-Yueh Lin, Hsiao-Chuan Wang
    • Computer Science
    • Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
    • 2005
    VIEW 2 EXCERPTS