A NEW ACCURATE METHOD OF HARMONIC-TO-NOISE RATIO EXTRACTION

Ricardo J. T. de Sousa

Abstract

In this paper, an accurate method that estimates the HNR from sustained vowels based on harmonic structure modeling is proposed. Basically, the proposed algorithm creates an accurate harmonic structure where each harmonic is parameterized by frequency, magnitude and phase. The harmonic structure is then synthesized and assumed as the harmonic component of the speech signal. The noise component can be estimated by subtracting the harmonic component from the speech signal. The proposed algorithm was compared to others HNR extraction algorithms based on spectral, cepstral and time domain methods, and using different performance measures.

References

  1. Levison, S. E., 2005. Mathematical Models for Speech Technology, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester,West Sussex PO19 8SQ, England.
  2. Yumoto, E., and Gould, W., 1982. Harmonics-to-noise ratio as an index of the degree of hoarseness, The Journal Acoustic Society of America. 71(6):1544- 1550.
  3. Ferreira ,Aníbal J. S., 1998.An Odd-DFT based approach to time-scale expansion of audio signals. IEEE Transactions on Speech and Audio Processing, 7(4):441-453.
  4. Ferreira ,Aníbal J. S., 2001.Accurate estimation in the ODFT domain of the frequency, phase and magnitude of stationary sinusoids. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pages 47-50. IEEE.
  5. Yegnanarayana, B., d'Alessandro, C., Darsinos, V. 1998. An iterative algorithm for decomposition of speech signals into periodic and aperiodic components. Speech and Audio Processing, IEEE Transactions 6(1): 1-11.
  6. Qi, Y., and Hillman, R. E., 1997. Temporal and spectral estimations of harmonics-to-noise ratio in human voice signals. The Journal of the Acoustical Society of America 102(1): 537-543.
  7. Boersma, P., 1993.Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound. In Proceedings of the Institute of Phonetic Sciences 17, 97-110.
  8. Murphy, P. J. and. Akande, O., 2006. Noise estimation in voice signals using short-term cepstral analysis, The Journal of the Acoustical Society of America. 121 (3):1679-1690.
  9. Michaelis ,D., Gramss, T., Strube H.W., 1997. Glottal-toNoise Excitation Ratio a New Measure for Describing Pathological Voices. Acustica-Acta Acustica 83,700- 706
  10. Fant, G., Liljencrants, J. and Lin, Q., 1985. A four parameter model of glottal flow. STL/QPSR 4/1985, French Swidish Symposium 1,1-13
Download


Paper Citation


in Harvard Style

J. T. de Sousa R. (2009). A NEW ACCURATE METHOD OF HARMONIC-TO-NOISE RATIO EXTRACTION . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 351-356. DOI: 10.5220/0001552903510356


in Bibtex Style

@conference{biosignals09,
author={Ricardo J. T. de Sousa},
title={A NEW ACCURATE METHOD OF HARMONIC-TO-NOISE RATIO EXTRACTION},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={351-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001552903510356},
isbn={978-989-8111-65-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - A NEW ACCURATE METHOD OF HARMONIC-TO-NOISE RATIO EXTRACTION
SN - 978-989-8111-65-4
AU - J. T. de Sousa R.
PY - 2009
SP - 351
EP - 356
DO - 10.5220/0001552903510356