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Book ChapterDOI

Cepstrum-based harmonics-to-noise ratio measurement in voiced speech

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TLDR
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.
Abstract
The estimation of the harmonics-to-noise ratio (HNR) in voiced speech provides an indication of the ratio between the periodic to aperiodic components of the signal. Time-domain methods for HNR estimation are problematic because of the difficulty of estimating the period markers for (pathological) voiced speech. Frequency-domain methods encounter the problem of estimating the noise level at harmonic locations. Cepstral techniques have been introduced to supply noise estimates at all frequency locations in the spectrum. A detailed description of cepstral processing is provided in order to motivate its use as a HNR estimator. The action of cepstral low-pass liftering and subsequent Fourier transformation is shown to be analogous to the action of a moving average filter. Based on this description, short-comings of two existing cepstral-based HNRs are illustrated and a new approach is introduced and shown to provide accurate HNR measurements for synthesised glottal and voiced speech waveforms.

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Citations
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Journal ArticleDOI

A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery

TL;DR: In this paper, a reweighted singular value decomposition (RSVD) strategy is proposed for signal denoising and weak feature enhancement in a two-stage gearbox as well as train bearings.
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Envelope harmonic-to-noise ratio for periodic impulses detection and its application to bearing diagnosis

TL;DR: In this article, an envelope harmonic-to-noise ratio (EHNR) based method is proposed to locate periodic impulses in the frequency domain, which has better performances than kurtosis-based method.
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Acoustic Analysis and Non Linear Dynamics Applied to Voice Pathology Detection: A Review

TL;DR: In this article, a complete review of scientific studies and relevant patents oriented to voice pathology detection is presented in order to provide a good and quick reference for readers who want to understand how the field of automatic detection of voice disorders has evolved.
Journal ArticleDOI

Periodicity estimation in synthesized phonation signals using cepstral rahmonic peaks

TL;DR: Both measures of the periodicity of the voice signal are shown to be relatively f"0-independent; however, the index appears to be less sensitive when compared against SRA, a new measure utilising all rahmonics in the cepstrum.
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Some notes on nonlinearities of speech

TL;DR: In this paper, the notion of nonlinearity in speech has been discussed, revising several nonlinear speech phenomena and the engineering endeavour for modeling them, making it accessible to untrained people.
References
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Journal ArticleDOI

Analysis, synthesis, and perception of voice quality variations among female and male talkers

TL;DR: Perceptual validation of the relative importance of acoustic cues for signaling a breathy voice quality has been accomplished using a new voicing source model for synthesis of more natural male and female voices.
Journal ArticleDOI

Cepstrum Pitch Determination

TL;DR: Algorithms were developed heuristically for picking those peaks corresponding to voiced‐speech segments and the vocal pitch periods, which were then used to derive the excitation for a computer‐simulated channel vocoder.
Journal ArticleDOI

Acoustic Correlates of Breathy Vocal Quality

TL;DR: periodicity measures provided the most accurate predictions of perceived breathiness, accounting for approximately 80% of the variance in breathiness ratings.
Journal ArticleDOI

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

TL;DR: 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.
Journal ArticleDOI

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

TL;DR: 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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