Jean Schoentgen

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59ranked-venue papers

24as first author

0since 2021 · last 2020

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 57 · 24 first-authorArtificial intelligence and machine learning · 42 · 15 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia

1 paper

Audio and music processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Audio and music processing › speech analysis pitch tracking	0.3	1	2018	Tracking of Multiple Fundamental Frequencies in Diplophonic Voices · IEEE ACM Trans. Audio Speech Lang. Process. 2018
Audio and music processing speech processing	0.3	1	2018	Tracking of Multiple Fundamental Frequencies in Diplophonic Voices · IEEE ACM Trans. Audio Speech Lang. Process. 2018

Methods — techniques the papers use, named apart from their topics

waveform fourier synthesis · 0.3viterbi algorithm · 0.3majority voting · 0.3

Year	Publication	Venue	Position
2020	Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech Abdellah Kacha, Francis Grenez, Juan Rafael Orozco-Arroyave, Jean Schoentgen	Comput. Speech Lang.	4
2019	Analysis and Synthesis of Vocal Flutter and Vocal Jitter Jean Schoentgen, Philipp Aichinger	INTERSPEECH	1
2018	Tracking of Multiple Fundamental Frequencies in Diplophonic Voices abstract Diplophonia is a type of pathological voice in which two fundamental frequencies (fo) are present simultaneously. Specialized audio analyzers that can handle up to two fos in diplophonic voices are in their infancy. We propose the tracking of up to two fos in diplophonic voices by audio waveform modeling (AWM), which involves obtaining candidates by repetitive execution of the Viterbi algorithm, followed by waveform Fourier synthesis, and heuristic candidate selection with majority voting. Our approach is evaluated with reference fo-tracks obtained from laryngeal highspeed videos of 29 sustained phonations and compared to state-of-the-art tracking algorithms for multiple fos. An accurate and a fast variant of our algorithm are tested. The median error rate of the accurate variant is 6.52%, whereas the most accurate benchmark achieves 11.11%. The fast variant is more than twice as fast as the fastest relevant benchmark, and the median error rate is 9.52%. Furthermore, illustrative results of connected speech analysis are reported. Our approach may help to improve detection and analysis of diplophonia in clinical research and practice, as well as to advance synthesis of disordered voices. Philipp Aichinger, Martin Hagmüller, Berit Schneider-Stickler, Jean Schoentgen, Franz Pernkopf	IEEE ACM Trans. Audio Speech Lang. Process.	4
2015	Vocal tremor analysis via AM-FM decomposition of empirical modes of the glottal cycle length time series abstract The presentation concerns a method that obtains the size and frequency of vocal tremor in speech sounds sustained by normal speakers and patients suffering from neurological disorders.The glottal cycle lengths are tracked in the temporal domain via salience analysis and dynamic programming.The cycle length time series is then decomposed into a sum of oscillating components by empirical mode decomposition the instantaneous envelopes and frequencies of which are obtained via an AM-FM decomposition.Based on their average instantaneous frequencies, the empirical modes are then assigned to four categories (intonation, physiological tremor, neurological tremor as well as jitter) and added within each.The within-category size of the cycle length perturbations is estimated via the standard deviation of the empirical mode sum divided by the average cycle length.The tremor frequency within the neurological tremor category is obtained via a weighted instantaneous average of the mode frequencies followed by a weighted temporal average.The method is applied to two corpora of vowels sustained by 123 and 74 control and 456 and 205 Parkinson speakers respectively. Christophe Mertens, Francis Grenez, François Viallet, Alain Ghio, Sabine Skodda, Jean Schoentgen	INTERSPEECH	6
2014	Bivariate analysis of disordered connected speech using temporal and spectral acoustic cues abstract The presentation concerns the assessment of disordered voices produced by dysphonic speakers. The empirical mode decomposition algorithm is used to decompose the log of the magnitude spectrum of the speech signal into its harmonic, envelope and noise components and the harmonic-to-noise ratio (HNR) is used to summarize the overall quality of the disordered voices. The present study aims at improving a previously proposed algorithm by incorporating an appropriate method that estimates automatically the thresholds required by the algorithm without knowledge of the fundamental frequency and combining the temporal acoustic marker named segmental signal-to-dysperiodicity ratio (SDRSEG) with the harmonic-to-noise ratio in order to predict the degree of perceived hoarseness. The performances of the bivariate analysis-based approach for vocal dysperiodicities assessment in terms of correlation of the predicted perceived grade scores with the original perceived degree of hoarseness are investigated using a large corpus comprising concatenations of two Dutch sentences followed by vowel [a]. Abdellah Kacha, Francis Grenez, Jean Schoentgen	ICASSP	3
2013	Empirical mode decomposition-based spectral acoustic cues for disordered voices analysis abstract info:eu-repo/semantics/published Abdellah Kacha, Francis Grenez, Jean Schoentgen	INTERSPEECH	3
2013	Physics-based synthesis of disordered voices abstract The purpose of this work is the development of a synthesizer of disordered voices, i.e., a generator of sounds that mimic the vocal quality of speakers that suffer from a voice disorder or laryngeal pathology. A physics-based modeling strategy is fol-lowed for physiological fidelity and a direct relation between the physiology and the perception of vocal quality. The synthe-sizer is based on a smooth and asymmetric version of a lumped mucosal wave model of the vocal folds, coupled to a wave-reflexion analog of the vocal tract. In this paper, we report our progress and present results of synthetic voices with vari-ous levels of vocal frequency jitter, additive pulsatile noise at the glottis due to airflow turbulence, and tension imbalance be-tween the left and right vocal folds. Index Terms: voice, voice synthesis, voice disorders, vocal folds 1. Jorge C. Lucero, Jean Schoentgen, Mara Behlau	INTERSPEECH	2
2013	Acoustic and perceptual analysis of vocal tremor abstract info:eu-repo/semantics/published Christophe Mertens, Jean Schoentgen, Francis Grenez, Sabine Skodda	INTERSPEECH	2
2012	Combining temporal and cepstral features for the automatic perceptual categorization of disordered connected speech abstract info:eu-repo/semantics/published Ali Alpan, Jean Schoentgen, Francis Grenez	INTERSPEECH	2
2012	Assessment of Disordered Voices Using Empirical Mode Decomposition in the Log-Spectral Domain abstract info:eu-repo/semantics/published Abdellah Kacha, Francis Grenez, Jean Schoentgen	INTERSPEECH	3
2012	Analysis of vocal tremor and jitter by empirical mode decomposition of glottal cycle length time series abstract info:eu-repo/semantics/published Christophe Mertens, Francis Grenez, Jean Schoentgen	INTERSPEECH	3
2012	Assessment of disordered voice via the first rahmonic Ali Alpan, Jean Schoentgen, Youri Maryn, Francis Grenez, P. Murphy	Speech Commun.	2
2011	Dysperiodicity Analysis of Perceptually Assessed Synthetic Speech Stimuli abstract info:eu-repo/semantics/published Ali Alpan, Francis Grenez, Jean Schoentgen	INTERSPEECH	3
2011	Multi-band dysperiodicity analyses of disordered connected speech Ali Alpan, Youri Maryn, Abdellah Kacha, Francis Grenez, Jean Schoentgen	Speech Commun.	5
2010	Automatic perceptual categorization of disordered connected speech abstract info:eu-repo/semantics/published Ali Alpan, Jean Schoentgen, Youri Maryn, Francis Grenez	INTERSPEECH	2
2010	An analytic modeling approach to enhancing throat microphone speech commands for keyword spotting abstract info:eu-repo/semantics/published Stefano Marini, Pierre Malarme, Francis Grenez, Jean Schoentgen	INTERSPEECH	5
2010	Reliable tracking based on speech sample salience of vocal cycle length perturbations abstract info:eu-repo/semantics/published Christophe Mertens, Francis Grenez, Lise Crevier-Buchman, Jean Schoentgen	INTERSPEECH	4
2009	Cepstral analysis of vocal dysperiodicities in disordered connected speech abstract info:eu-repo/semantics/published Ali Alpan, Jean Schoentgen, Youri Maryn, Francis Grenez, P. Murphy	INTERSPEECH	2
2009	Perceived naturalness of a synthesizer of disordered voices abstract info:eu-repo/semantics/published Samia Ben Elhadj Fraj, Francis Grenez, Jean Schoentgen	INTERSPEECH	3
2009	Speech sample salience analysis for speech cycle detection abstract info:eu-repo/semantics/published Christophe Mertens, Francis Grenez, Jean Schoentgen	INTERSPEECH	3
2008	Multi-band and multi-cue analyses of disordered connected speech abstract info:eu-repo/semantics/published Ali Alpan, Youri Maryn, Francis Grenez, Abdellah Kacha, Jean Schoentgen	INTERSPEECH	5
2008	Low-frequency vocal modulations in vowels produced by Parkinsonian subjects Laurence Cnockaert, Jean Schoentgen, Pascal Auzou, Canan Ozsancak, L. Defebvre, Francis Grenez	Speech Commun.	2
2007	Assessment of vocal dysperiodicities in connected disordered speech abstract info:eu-repo/semantics/published Ali Alpan, Abdellah Kacha, Francis Grenez, Jean Schoentgen	INTERSPEECH	4
2007	Effect of intensive voice therapy on vocal tremor for parkinson speakers abstract info:eu-repo/semantics/published Laurence Cnockaert, Jean Schoentgen, Canan Ozsancak, Pascal Auzou, Francis Grenez	INTERSPEECH	2
2006	Frame-Based Acoustic Cues of Vocal Dysperiodicity in Connected Speech abstract Acoustic analysis of connected speech is carried out by means of a generalized variogram to extract vocal dysperiocities. A segmental signal-to-dysperiodicity ratio (SDRSEG) is used to predict the perceived degree of hoarseness. The corpora comprise four French sentences as well as vowels [a] produced by 22 male and female normophonic and dysphonic speakers. It is shown that the average SDRSEG correlates better with perceptual scores of hoarseness than the global signal-to-dysperiodicity ratio (SDR). The perceptual scores are based on comparative judgments by six listeners of pairs of speech samples. In addition, multiple linear regression analysis of four statistical descriptors of SDRSEG is performed to gauge whether higher-order statistics are valid predictors of perceived hoarseness Abdellah Kacha, Francis Grenez, Jean Schoentgen	ICASSP (1)	3
2006	Tracking of involuntary formant frequency variations and application to parkinsonian speech abstract info:eu-repo/semantics/published Laurence Cnockaert, Jean Schoentgen, Pascal Auzou, Canan Ozsancak, Francis Grenez	INTERSPEECH	2
2006	Multivariate analysis of frame-based acoustic cues of dysperiodicities in connected speech abstract info:eu-repo/semantics/published Abdellah Kacha, Francis Grenez, Jean Schoentgen	INTERSPEECH	3
2006	Estimation of dysperiodicities in disordered speech Abdellah Kacha, Francis Grenez, Jean Schoentgen	Speech Commun.	3
2005	Fundamental Frequency Estimation and Vocal Tremor Analysis by means of Morlet Wavelet Transforms abstract A vocal frequency estimation method and an analysis of vocal tremor are proposed. Vocal tremor is a narrow-band low-frequency perturbation of the vocal frequency. The vocal frequency estimate is the instantaneous frequency calculated in an automatically selected frequency-band of a wavelet transform of the speech signal. The vocal frequency estimation method is compared to an event-based method and a Hilbert-transform method for speech signals. The tremor frequency and amplitude are obtained by means of a continuous wavelet transform applied to the instantaneous frequency trace. The proposed analysis has been applied to parkinsonian and normophonic speakers. The results suggest that the vocal tremor features differ for both groups. Laurence Cnockaert, Francis Grenez, Jean Schoentgen	ICASSP (1)	3
2005	Dysphonic Speech Analysis Using Generalized Variogram abstract Acoustic analyses of speech signals are popular in the framework of the clinical evaluation of voice and the diagnosis of disease. We propose a new strategy for dysphonic speech analysis that extracts vocal dysperiocities by using a generalized form of the variogram. The generalized variogram allows the inherent drawbacks of both long-term and short-term linear prediction formulations, widely used in disordered speech analysis, to be overcome. The proposed approach uses a forgetting factor to account for the nonstationarity nature of the speech signal. Experimental results show that the proposed approach outperforms the double prediction-based technique. Abdellah Kacha, Francis Grenez, Jean Schoentgen, Khier Benmahammed	ICASSP (1)	3
2005	Synthesis of disordered speech abstract info:eu-repo/semantics/published Julien Hanquinet, Francis Grenez, Jean Schoentgen	INTERSPEECH	3
2005	Voice quality assessment by means of comparative judgments of speech tokens Abdellah Kacha, Francis Grenez, Jean Schoentgen	INTERSPEECH	3
2004	Adaptive long-term predictive analysis of disordered speech abstract info:eu-repo/semantics/published Abdellah Kacha, Francis Grenez, Frédéric Bettens, Jean Schoentgen	INTERSPEECH	4
2003	Estimation of vocal noise in running speech by means of bi-directional double linear prediction abstract info:eu-repo/semantics/published Frédéric Bettens, Francis Grenez, Jean Schoentgen	INTERSPEECH	3
2002	Analysis and synthesis of the phonatory excitation signal by means of a pair of polynomial shaping functions abstract info:eu-repo/semantics/published Jean Schoentgen	INTERSPEECH	1
2001	Estimation of the modulation frequency and modulation depth of the fundamental frequency owing to vocal micro-tremor of the voice source signal abstract info:eu-repo/semantics/published Jean Schoentgen	INTERSPEECH	1
1998	The relation between vocal tract shape and formant frequencies can be described by means of a system of coupled differential equations abstract info:eu-repo/semantics/published Jean Schoentgen, Alain Soquet, Véronique Lecuit, Sorin Ciocea	ICSLP	1
1997	Analysis of dysarthric speech by means of formant-to-area mapping abstract info:eu-repo/semantics/published Sorin Ciocea, Jean Schoentgen, Lise Crevier-Buchman	EUROSPEECH	2
1997	Post-synchronization via formant-to-area mapping of asynchronously recorded speech signals and area functions abstract info:eu-repo/semantics/published Jean Schoentgen, Sorin Ciocea	EUROSPEECH	1
1997	Kinematic formant-to-area mapping Jean Schoentgen, Sorin Ciocea	Speech Commun.	1
1997	Predictable and random components of jitter Jean Schoentgen, Raoul De Guchteneere	Speech Commun.	1
1996	Searching for nonlinear relations in whitened jitter time series abstract info:eu-repo/semantics/published Jean Schoentgen, Raoul De Guchteneere	ICSLP	1
1995	Experimental study of the target theory of vowel production abstract info:eu-repo/semantics/published Michel Pitermann, Jean Schoentgen	EUROSPEECH	2
1995	Direct calculation of the vocal tract area function from measured formant frequencies abstract info:eu-repo/semantics/published Jean Schoentgen, Sorin Ciocea	EUROSPEECH	1
1995	Time series analysis of glottal cycle lengths of healthy and dysphonic speakers Jean Schoentgen, Raoul De Guchteneere	EUROSPEECH	1
1994	Self excited threshold auto-regressive models of the glottal pulse and the speech signal abstract info:eu-repo/semantics/published Jean Schoentgen	ICSLP	1
1994	Explicit relations between resonance frequencies and vocal tract cross sections in loss-less kelly-lochbaum and distinctive region vocal tract models abstract info:eu-repo/semantics/published Jean Schoentgen, Sorin Ciocea	ICSLP	1
1993	Modelling the glottal pulse with a self-excited threshold auto-regressive model Jean Schoentgen	EUROSPEECH	1
1993	Pitch-synchronous formant extraction by means of a compound auto-regressive model abstract info:eu-repo/semantics/published Jean Schoentgen, Zoubir Azami	EUROSPEECH	1
1993	Auto-regressive linear models of jitter abstract info:eu-repo/semantics/published Jean Schoentgen, Raoul De Guchteneere	EUROSPEECH	1
1992	Glottal waveform synthesis with volterra shapers abstract info:eu-repo/semantics/published Jean Schoentgen	ICSLP	1
1992	Glottal waveform synthesis with Volterra shaping functions Jean Schoentgen	Speech Commun.	1
1991	An algorithm for the measurement of jitter Jean Schoentgen, Raoul De Guchteneere	Speech Commun.	1
1990	Non-linear signal representation and its application to the modelling of the glottal waveform Jean Schoentgen	Speech Commun.	1
1989	The spectral dynamics of a non-linear model of the glottal waveform abstract info:eu-repo/semantics/published Jean Schoentgen	EUROSPEECH	1
1989	Jitter in sustained vowels and isolated sentences produced by dysphonic speakers Jean Schoentgen	Speech Commun.	1
1989	The recognition of speech by machine - a bibliography : Academic Press, London/San Diego, 1988, 498 pp., ISBN 0-12-356785-8 Jean Schoentgen	Speech Commun.	1
1985	An acoustic feature related to vocal efficiency in normal and pathological speakers Jean Schoentgen	Speech Commun.	1
1982	Quantitative evaluation of the discrimination performance of acoustic features in detecting laryngeal pathology Jean Schoentgen	Speech Commun.	1