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The Pennsylvania State University CiteSeerX Archives (9)
Thomas Drugman (9)
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Hits 1 – 9 of 9
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
...
In: 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
Abstract:
Abstract—During the production of voiced speech, the excita-tion signal performs a spectral subsampling of the filter transfer function. As a consequence, recovering the underlying spectral envelope (SE) becomes particularly difficult in high-pitched voices, where estimates using several conventional approaches are known to be contaminated by harmonics. To overcome such issues, this paper proposes to reconstruct inter-harmonics by a simple weigthed time-domain multiplication. Usual SE estimation methods can then be applied on the resulting signal. Both our objective and subjective experiments show that the proposed method provides similar or slightly better results when compared to more sophisticated approaches like true envelope or cubic spline interpolation between the harmonics. However, contrary to these latter techniques, its computational load is very low thanks to its simplicity.
Keyword:
High-Pitched
;
Index Terms—Spectral Envelope
;
Singing Voice
;
Speech Analysis
;
Speech Synthesis
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.8403
http://tcts.fpms.ac.be/~drugman/files/SPL-FIHR.pdf
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