Advanced Preprocessing of Larynx Images to Improve the Segmentation of Glottal Area

P. [1-4] [4]

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  • Automatic Parameterisation of the Glottal Waveform Combining Time and Frequency Domain Measures
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  • Salience Analysis for Glottal Cycle Detection in Disordered Speech
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  • A Bottom-Up Procedure to Extract Periodicity Structure of Voiced Sounds and Its Application to Represent and Restoration of Pathological Voices
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  • Towards Video Laryngosptroboscopy-Based Automated Screening for Laryngeal Disorders
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  • Advanced Preprocessing of Larynx Images to Improve the Segmentation of Glottal Area
  • Articulatory Modelling of the Vocal Tract in Feeding form X-Ray Images
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  • Segmentation of Laryngeal High-Speed Videoendoscopy in Temporal Domain Using Paired Active Contours
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  • Objective Comparison of the Electroglottogram to Synchronus High-Speed Images of Vocal Fold Contact During Vibration
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  • Quantitative Analysis of Diplophonic Vocal Fold Vibratary Pattern form High-Speed Digital Imaging of Glottis
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  • Experimental System for Neurological Case Studies
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  • Accelleration Sensor Measurements of Subglottal Sound Pressure for Modal and Breathy Phonation Quality
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  • Basic Requirements on Microphones for VoiceRecordings
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  • Comparison of Excitation Signals for an Electronic Larynx
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  • DIA
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  • Singing Voice and Pregnancy
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  • Case Study of Voice Quality Differences in a Soprano Singing in Different Early Music Performance Styles
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  • Vocal Effort in Singers of a National Lyric Orchestra
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  • Automatic Detection of Post-Apnoeic Snore Events from Home and Clinical Full Night Sleep Recordings
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  • Analysis of Deformation Characteristics of Excised Human Vocal Folds by Optical Stereo-Triangulation
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  • A LF-Pulse from a Simple Glottal Flow Model
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  • Mathematical Modelling of Airflow in the Glottal Region and Its Comparison with Experimental Data
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  • Finite Element Model of the Human Phonation Process
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  • Recording Speech during MRI
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  • Author Index
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• Informations

  Code DOI : 10.1400/119270

  Permalink: http://digital.casalini.it/10.1400/119270

  DISCIPLINES

  • Physiologie humaine
  • Maladies