Voice source parameter measurement based on multi-scale analysis of electroglottographic signal

Bouzid, Aïcha; Ellouze, Noureddine

doi:10.1016/j.specom.2008.08.004

Cited by 20 publications

(11 citation statements)

References 26 publications

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“…This glottal behaviour is observed by Anastalpo and Karnell [31]. These problems are overcome using the MP of the EGG signal as proposed in [16]. For real speech, typical cases are absent for closing peaks and are seldom observed for opening peaks.…”

Section: Mp Autocorrelation For the Fundamental Frequency Estimationmentioning

confidence: 80%

“…Besides, the MP is proposed by Bouzid and Ellouze [16,27] to extract crucial information concerning the vocal source such as glottal opening and closure instants, the fundamental frequency, the OQ and the voicing decision. In previous studies, we proved that the MP is a robust and efficient method for determining the GCI from both clean and noisy acoustic signal [28,29].…”

Section: Mp For Speech Analysismentioning

confidence: 99%

“…The strength of the MP of the EGG signal compared to the DEGG signal is profoundly studied by Bouzid and Ellouze [16]. This study attempts to measure the voice source parameters using the MP of the EGG signal.…”

Section: Mp For Speech Analysismentioning

confidence: 99%

“…In this context, Henrich et al [13][14][15] suggested a correlation-based method called DECOM for automatic measurement of the fundamental frequency (F0) and the OQ using the derivative of electroglottographic (DEGG) signals. Bouzid and Ellouze [16] used the multiscale product (MP) of the wavelet transform (WT) for detecting singularities in speech signal caused by the opening and the closing of the vocal folds. But no quantitative results were given.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Correlation analysis of the speech multiscale product for the open quotient estimation

Saïdi

Bouzid

Ellouze

2011

J AUDIO SPEECH MUSIC PROC.

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This article proposes a multiscale product (MP)-based method for estimating the open quotient (OQ) from the speech waveform. The MP is operated by calculating the wavelet transform coefficients of the speech signal at three scales and then multiplying them. The resulting MP signal presents negative peaks informing about the glottis closure, and positive ones informing about the glottis opening. Taking into account the shape of the speech MP close to the derivative of electroglottographic (EGG) signal, we proceed to a correlation analysis for the fundamental frequency and OQ measurement. The approach validation is done on voiced parts of the Keele University database by calculating the absolute and relative errors between the OQ estimated from the speech and the corresponding EGG signals. When considering the mean OQ over each voiced segments, results of our test show that OQ is estimated within an absolute error from 0.04 to 0.1 and a relative error from 8 to 21% for all the speakers. The approach is not so performant when the evaluation concerns the OQ frame-by-frame measurements. The absolute error reaches 0.12 and the relative error 30%.

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Section: Mp Autocorrelation For the Fundamental Frequency Estimationmentioning

confidence: 80%

Section: Mp For Speech Analysismentioning

confidence: 99%

Section: Mp For Speech Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Correlation analysis of the speech multiscale product for the open quotient estimation

Saïdi

Bouzid

Ellouze

2011

J AUDIO SPEECH MUSIC PROC.

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“…However, one-scale analysis is not accurate. So, decision algorithm using multiple scales is proposed by different works to circumvent this problem [22,23].…”

Section: Multi-scale Productmentioning

confidence: 99%

Autocorrelation of the Speech Multi-Scale Product for Voicing Decision and Pitch Estimation

2010

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In this work, we present an algorithm for voiced/unvoiced decision and pitch estimation from speech signals. Our approach is based on classifying the peaks provided by the autocorrelation of the speech multi-scale product. The multi-scale product is based on making the product of the speech wavelet transform coefficients at three successive dyadic scales. The autocorrelation function of the multi-scale product is calculated over frames of a specific length. The experimental results show the robustness and the effectiveness of our approach. Besides, the proposed method outperforms some existing algorithms in a clean and noisy environment.

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Pitch Estimation Based on the Cepstrum Analysis by the Multi Scale Product of Clean and Noisy Speech

Jlassi

Bouzid

Ellouze

2016

Recent Advances in Nonlinear Speech Processing

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Voice source parameter measurement based on multi-scale analysis of electroglottographic signal

Cited by 20 publications

References 26 publications

Correlation analysis of the speech multiscale product for the open quotient estimation

Correlation analysis of the speech multiscale product for the open quotient estimation

Autocorrelation of the Speech Multi-Scale Product for Voicing Decision and Pitch Estimation

Pitch Estimation Based on the Cepstrum Analysis by the Multi Scale Product of Clean and Noisy Speech

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