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1	IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 1 Automatic Variation of the Degree of Articulation in New HMM-based Voices
	Benjamin Picart; Thomas Drugman; Thierry Dutoit
	In: http://tcts.fpms.ac.be/~drugman/files/STSP2013.pdf
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2	PREDICTION OF CREAKY VOICE FROM CONTEXTUAL FACTORS 1
	Thomas Drugman; John Kane; Tuomo Raitio...
	In: http://tcts.fpms.ac.be/~drugman/files/ICASSP13_Creaky.pdf
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3	IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 1 Automatic Variation of the Degree of Articulation in New HMM-based Voices
	Benjamin Picart; Thomas Drugman; Thierry Dutoit
	In: http://tcts.fpms.ac.be/publications/regpapers/2014/jstsp_articulation_bptdtd.pdf
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4	Analysis and Synthesis of Hypo and Hyperarticulated Speech
	Benjamin Picart; Thomas Drugman; Thierry Dutoit
	In: http://tcts.fpms.ac.be/%7Edrugman/files/SSW7.pdf
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5	STATISTICAL METHODS FOR VARYING THE DEGREE OF ARTICULATION IN NEW HMM-BASED VOICES
	Benjamin Picart; Thomas Drugman; Thierry Dutoit
	In: http://tcts.fpms.ac.be/~drugman/files/SLT12-Picart.pdf
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6	GLOTTAL SOURCE ESTIMATION ROBUSTNESS A comparison of sensitivity of voice source estimation techniques
	Thomas Drugman; Thomas Dubuisson; Alexis Moinet; Thierry Dutoit
	In: http://tcts.fpms.ac.be/publications/papers/2008/sigmap08_tdtdamndatd.pdf
	Abstract: Abstract: This paper addresses the problem of estimating the voice source directly from speech waveforms. A novel principle based on Anticausality Dominated Regions (ACDR) is used to estimate the glottal open phase. This technique is compared to two other state-of-the-art well-known methods, namely the Zeros of the Z-Transform (ZZT) and the Iterative Adaptive Inverse Filtering (IAIF) algorithms. Decomposition quality is assessed on synthetic signals through two objective measures: the spectral distortion and a glottal formant determination rate. Technique robustness is tested by analyzing the influence of noise and Glottal Closure Instant (GCI) location errors. Besides impacts of the fundamental frequency and the first formant on the performance are evaluated. Our proposed approach shows significant improvement in robustness, which could be of a great interest when decomposing real speech. 1
	Keyword: Glottal Formant; Speech Analysis; Speech Processing; Voice Source
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.139.908 http://tcts.fpms.ac.be/publications/papers/2008/sigmap08_tdtdamndatd.pdf
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7	Assessing the Intelligibility and Quality of HMM-based Speech Synthesis with a Variable Degree of Articulation
	Benjamin Picart; Thomas Drugman; Thierry Dutoit
	In: http://tcts.fpms.ac.be/%7Edrugman/files/LISTA12.pdf
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8	IEEE SIGNAL PROCESSING LETTERS 1 Maximum Voiced Frequency Estimation: Exploiting Amplitude and Phase Spectra
	Thomas Drugman; Yannis Stylianou; Senior Member
	In: http://tcts.fpms.ac.be/~drugman/files/SPL-MVF.pdf
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9	IEEE SIGNAL PROCESSING LETTERS 1 Fast Inter-Harmonic Reconstruction for Spectral Envelope Estimation in High-Pitched Voices
	Thomas Drugman; Yannis Stylianou; Senior Member
	In: http://tcts.fpms.ac.be/~drugman/files/SPL-FIHR.pdf
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