• Corpus ID: 10631351

Glottal-to-Noise Excitation Ratio - a New Measure for Describing Pathological Voices

  title={Glottal-to-Noise Excitation Ratio - a New Measure for Describing Pathological Voices},
  author={Dirk Michaelis and Tino Gram{\ss} and Hans Werner Strube},
Summary In this article a new acoustic parameter for the objective description of voice quality is introduced. It is based on the correlation coefficientfor Hilbert envelopes of different frequency bands. The parameter indicates whether a given voice signal originates from vibrations of the vocal folds or from turbulent noise generated in the vocal tract and is thus related to (but not a direct measure of) breathiness. Therefore it is named Glottal-to-Noise Excitation Ratio (GNE Ratio). GNE is… 

Investigation of a glottal related harmonics-to-noise ratio and spectral tilt as indicators of glottal noise in synthesized and human voice signals.

An alternative harmonics-to-noise ratio formulation [glottal related HNR (GHNR')] is proposed to overcome the former problem and one of the tilt measures and GHNR' are shown to provide statistically significant differentiating power over a conventional HNR estimator.

Selection and combination of acoustic features for the description of pathologic voices.

The glottal to noise excitation ratio (GNE) is an acoustic measure designed to assess the amount of noise in a pulse train generated by the oscillation of the vocal folds that is found to be independent of variations of fundamental frequency and amplitude.

Screening voice disorders with the glottal to noise excitation ratio

The results confirm that the Glottal to Noise Excitation Ratio provides reliable measurements in terms of discrimination among normal and pathological voices, comparable to other classical long-term noise measurements found in the literature, so this parameter is a good candidate to be used for screening purposes.

A method for turbulent noise estimation in voiced signals

Experiments with synthetic and natural voice signals show that TNI is almost independent of frequency modulation noise and amplitude modulation noise, and compared to the other noise parameters TNI has a significant advantage as a diagnostic parameter.

Cepstrum-Based Harmonics-to-Noise Ratio Measurement in Voiced Speech

A new approach is introduced and shown to provide accurate HNR measurements for synthesised glottal and voiced speech waveforms and the action of cepstral low-pass liftering and subsequent Fourier transformation is shown to be analogous to a moving average filter.

Study of Harmonics-to-Noise Ratio and Critical-Band Energy Spectrum of Speech as Acoustic Indicators of Laryngeal and Voice Pathology

Results obtained have shown that the HNR and the critical-band energy spectrum can be used to correlate laryngeal pathology and voice alteration, using previously classified voice samples, and could be an additional acoustic indicator that supplements the clinical diagnostic features for voice evaluation.

Objective Description of Choral Singers Voice Quality Using Glottal-to-Noise Excitation Ratio

The GNE (Glottal-to-Noise Excitation Ratio) parameter has been used for the analysis of singing voice quality and shows that GNE may be useful in assessing the overall singing quality of the choir singers.

Pitch-scaled estimation of simultaneous voiced and turbulence-noise components in speech

A method-the pitch-scaled harmonic filter (PSHF)-which aims to separate the voiced and turbulence-noise components of the speech signal during phonation, based on a maximum likelihood approach is proposed.

Acoustic measures and signal typing of voice quality in tracheoesophageal speech, and their relations to perceptual evaluations*

In this chapter the results of acoustic analyses (periodicity, harmonicity, and spectral analyses) of tracheoesophageal voice quality are described. First, the results of two software programs (MDVP



A cepstrum-based technique for determining a harmonics-to-noise ratio in speech signals.

  • G. de Krom
  • Physics
    Journal of speech and hearing research
  • 1993
Results of a multiple linear regression analysis with noise or jitter, F0, and window length as predictors for HNR indicate a major effect of both noise and jitter on HNR, in that HNR decreases almost linearly with increasing noise levels or increasing jitter.

An adaptive comb filtering method as applied to acoustic analyses of pathological voice

Experiments with vowel samples spoken by 64 normal control subjects and 50 patients with glottic cancer have shown that the NNE is useful for the distinction between normal and pathological voice status.

A pitch-synchronous analysis of hoarseness in running speech.

An analysis of pre- and postoperative voices of six patients with benign laryngeal disease showed that the N/S ratio for vowel /u/ in running speech consistently improved after surgery for all subjects, in agreement with their successful therapeutic results.

Harmonics-to-noise ratio as an index of the degree of hoarseness.

The harmonics-to-noise (H/N) ratio proved useful in quantitatively assessing the results of treatment for hoarseness and showed a highly significant agreement between H/N calculations and the subjective evaluations of the spectrograms.

Some spectral correlates of pathological breathy and rough voice quality for different types of vowel fragments.

  • G. de Krom
  • Physics
    Journal of speech and hearing research
  • 1995
Results indicated that the harmonics-to-noise ratio was the best single predictor of both rated breathiness and roughness, explaining up to 54% of the true rating variance.

Some spectral correlates of pathological breathy and rough voice quality for different types of vowel fragments.

This study deals with the relation between listeners' ratings of pathological breathiness and roughness and certain characteristics of the voice spectrum. Two general research questions were addres...

Linear prediction of speech

The book that the authors will offer right here is the soft file concept, which make you can easily find and get this linear prediction of speech by reading this site.

A Cepstrum-Based Technique for Determining a Harmonics-to-Noise Ratio in Speech Signals

A new method to calculate a spectral harmonics-to-noise ratio (HNR) in speech signals is presented and involves discrimination between harmonic and noise energy in the magnitude spectrum by discriminating between them.

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