Study on HNR in transmitted sound signals

NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings

Volumn , Issue , 2003, Pages 580-584

  Zhao, Shouguo ^a   Bu, Fanliang ^b   Sun, Yihe ^a   Han, Chengcai ^c  

^a TSINGHUA UNIVERSITY   (China)

^b PEKING UNIVERSITY   (China)

^c XI'AN SHIYOU UNIVERSITY   (China)

Author keywords

Harmonic to noise ratio; Transmitted sound; Wavelet transfonn

Indexed keywords

COMPUTATIONAL LINGUISTICS; DIAGNOSIS; KNOWLEDGE ENGINEERING; NATURAL LANGUAGE PROCESSING SYSTEMS; WAVELET TRANSFORMS;

HARMONIC TO NOISE RATIOS; HUMAN VOICE; LARYNGEAL DISEASE; SOUND SIGNAL; VOCAL FOLDS VIBRATIONS; WAVELET TRANSFONN;

ACOUSTIC NOISE;

EID: 84945162189     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NLPKE.2003.1275972     Document Type: Conference Paper

References (15)

1. E. YumotO, W Gould, and T.Bear. "Harmonic-to-noise ratio as index of the degree of hoarseness". J. Acoust. Soc. Am, Vol. 71. No.3. PP. 1544-1550, 1982
2. Y.Y.Qi. "Time normalization in voice analysis", J. Acoustics. Soc. Am., Vol. 92. No.4 PP. 2569-2576, 1992
3. Y.Y.Qi. et al. " Minimizing the effect of period determination on the computation of amplitude perturbation in voice". J. Acoust. Soc. Am., Vol. 97. No.4 PP, 2525-2532, 1995
4. H.Kasuya, et ai. "Normalized noise energy as an acoustic measure to evaluate pathologic voice. " J. Acoust. Soc. Am., Vol. 80. No.2 PP. 1329-1332, 1986
5. HMuta, T.Bear. "A pith-synchronous analysis of hoarseness in running speech." J. Acoust. Soc. Am., Vol. 84. No.2 PP. 1292-1301, 1988
6. Cox et al. " Technical considerations in computation of spectral harmonics-to-noise ratios for sustained vowels ". J. Speech Hear. Res. Vol. 32. No.2 PP. 203-218, 1989
7. De Korm. "A cepstrum-based techniques for determining a harmonics-to-noise ratio in speech signals". J. Speech Hear. Res. Vol. 36. No. 2. PP.254-266. 1993
8. Y.YQi, et al. " Temporal 'and spectrum estimation of harmonic-to-noise ratio in human voice signals". J. Acoust. Soc. Am., Vol. 102. No. 1. PP.537-543. 1997
9. D. Michaelis, et al. "Glottal-to-noise excitation ratio-A new measure for describing pathological voices". ACTA. Acoustics, Vol. 83. No. 3. PP.700-706. 1997
10. P.J. Murphy. "Perturbation-free measurement of the harmonics-to-noise ratio in voice signals using pitch synchronous harmonic analysis." J. Acoust. Soc. Am. Vol. 105. No. 5. PP.2867-2881. 1999
11. G.de Krom. "A cepstrum-based technique for determining a harmonic-to-noise ratio in speech signal." J. Speech Hear. Res. Vol. 36. No.2 PP. 203-218, 1993
12. H.Kasuya, Yendo, S.Saliu. "Novel acoustic measurements of jitter and shimmer characteristics from pathological voice. " UROSPEECH '93 Berlin, PP.1973-1976. 1993
13. Wang supin Wan mingxi et al, Harmonics-to-noise ratio analysis of pathological speech signals" Journal of XI'AN Jiaotong University Vol.30. No.9. PP.53-58. 1996
14. S.Mallat, S.Zhang. "Characterization of signals from multiscale edges. " IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 38, No. 2, PP.617-643, 1992
15. S.Mallat, W.L.Hwang, "Singularity detection and processing with wavelet. " IEEE Transactions on Information Theory, Vol. 38, No. 2, PP.617-643, 1992