Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification
暂无分享,去创建一个
Friedhelm Schwenker | John Kane | Christer Gobl | Stefan Scherer | F. Schwenker | C. Gobl | Stefan Scherer | John Kane | Christer Gobl
[1] Gunnar Fant,et al. Acoustic Theory Of Speech Production , 1960 .
[2] T.H. Crystal,et al. Linear prediction of speech , 1977, Proceedings of the IEEE.
[3] Didier Dubois,et al. Fuzzy sets and systems ' . Theory and applications , 2007 .
[4] J. Laver. The phonetic description of voice quality , 1980 .
[5] Roger K. Moore. Computer Speech and Language , 1986 .
[6] D. Childers,et al. Two-channel speech analysis , 1986, IEEE Trans. Acoust. Speech Signal Process..
[7] John Vanderkooy,et al. Transfer-Function Measurement with Maximum-Length Sequences , 1989 .
[8] Paavo Alku,et al. Glottal wave analysis with Pitch Synchronous Iterative Adaptive Inverse Filtering , 1991, Speech Commun..
[9] D G Childers,et al. Vocal quality factors: analysis, synthesis, and perception. , 1991, The Journal of the Acoustical Society of America.
[10] Christer Gobl,et al. Acoustic characteristics of voice quality , 1992, Speech Commun..
[11] Lou Boves,et al. Fitting a LF-model to inverse filter signals , 1993, EUROSPEECH.
[12] J. Hillenbrand,et al. Acoustic correlates of breathy vocal quality. , 1994, Journal of speech and hearing research.
[13] K. Stevens,et al. Classification of glottal vibration from acoustic measurements , 1995 .
[14] J. Hillenbrand,et al. Acoustic correlates of breathy vocal quality: dysphonic voices and continuous speech. , 1996, Journal of speech and hearing research.
[15] P. Ladefoged,et al. The sounds of the world's languages , 1996 .
[16] Mirjam Wester. Automatic Classification of Voice Quality: Comparing Regression Models and Hidden Markov Models , 1998 .
[17] M. Ng,et al. Acoustic, aerodynamic, physiologic, and perceptual properties of modal and vocal fry registers. , 1998, The Journal of the Acoustical Society of America.
[18] Jonathan Harrington,et al. The Acoustic Theory of Speech Production , 1999 .
[19] Kristin P. Bennett,et al. Support vector machines: hype or hallelujah? , 2000, SKDD.
[20] Christophe d'Alessandro,et al. Spectral correlates of voice open quotient and glottal flow asymmetry : theory, limits and experimental data , 2001, INTERSPEECH.
[21] James C. Bezdek,et al. Decision templates for multiple classifier fusion: an experimental comparison , 2001, Pattern Recognit..
[22] Ludmila I. Kuncheva,et al. Using measures of similarity and inclusion for multiple classifier fusion by decision templates , 2001, Fuzzy Sets Syst..
[23] Friedhelm Schwenker,et al. Solving Multi-class Pattern Recognition Problems with Tree-Structured Support Vector Machines , 2001, DAGM-Symposium.
[24] Richard Ogden. Turn transition, creak and glottal stop in Finnish talk-in-interaction , 2001, Journal of the International Phonetic Association.
[25] P. Alku,et al. Normalized amplitude quotient for parametrization of the glottal flow. , 2002, The Journal of the Acoustical Society of America.
[26] H. P. Huang,et al. Fuzzy Support Vector Machines for Pattern Recognition and Data Mining , 2002 .
[27] Sheng-De Wang,et al. Fuzzy support vector machines , 2002, IEEE Trans. Neural Networks.
[28] Ailbhe Ní Chasaide,et al. The role of voice quality in communicating emotion, mood and attitude , 2003, Speech Commun..
[29] Anthony Widjaja,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.
[30] C. Gobl,et al. Amplitude-Based Source Parameters for Measur ing Voice Quality , 2003 .
[31] C. Gobl. The Voice Source in Speech Communication - Production and Perception Experiments Involving Inverse Filtering and Synthesis , 2003 .
[32] Jerold A. Edmondson,et al. The aryepiglottic folds and voice quality in the Yi and Bai languages : laryngoscopic case studies + , 2003 .
[33] Nick Campbell. Specifying Affect and Emotion for Expressive Speech Synthesis , 2004, CICLing.
[34] Ludmila I. Kuncheva,et al. Combining Pattern Classifiers: Methods and Algorithms , 2004 .
[35] N. Campbell,et al. Voice Quality : the 4 th Prosodic Dimension , 2004 .
[36] Mika Ito. Politeness and Voice Quality – The Alternative Method to Measure Aspiration Noise , 2004 .
[37] Jacqueline Walker,et al. A Review of Glottal Waveform Analysis , 2005, WNSP.
[38] Ailbhe Ní Chasaide,et al. Voice quality and f0 cues for affect expression: implications for synthesis , 2005, INTERSPEECH.
[39] Subhash C. Bagui,et al. Combining Pattern Classifiers: Methods and Algorithms , 2005, Technometrics.
[40] J. Beck. Perceptual analysis of voice quality: the place of Vocal Profile Analysis. , 2005 .
[41] Günther Palm,et al. Comparison of Multiclass SVM Decomposition Schemes for Visual Object Recognition , 2005, DAGM-Symposium.
[42] M. Zusi,et al. A fuzzy-input fuzzy-output SVM technique for classification of hyperspectral remote sensing images , 2006, Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006.
[43] Bin Yang,et al. Robust Estimation of Voice Quality Parameters Under Realworld Disturbances , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[44] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[45] Nick Campbell,et al. On the Use of NonVerbal Speech Sounds in Human Communication , 2007, COST 2102 Workshop.
[46] Paavo Alku,et al. Comparison of multiple voice source parameters in different phonation types , 2007, INTERSPEECH.
[47] Diane M. Griffiths,et al. THE REGENTS OF THE UNIVERSITY OF CALIFORNIA , 2007 .
[48] Quarterly Progress and Status Report A preliminary study of acoustic voice quality correlates , 2007 .
[49] J. Liljencrants,et al. Dept. for Speech, Music and Hearing Quarterly Progress and Status Report a Four-parameter Model of Glottal Flow , 2022 .
[50] Friedhelm Schwenker,et al. Fuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines , 2007, KES.
[51] M. Lugger,et al. Extracting voice quality contours using discrete hidden Markov models , 2008, Speech Prosody 2008.
[52] Paavo Alku,et al. HMM-based Finnish text-to-speech system utilizing glottal inverse filtering , 2008, INTERSPEECH.
[53] Hiroshi Ishiguro,et al. A Method for Automatic Detection of Vocal Fry , 2008, IEEE Transactions on Audio, Speech, and Language Processing.
[54] Günther Palm,et al. Comparison of Neural Classification Algorithms Applied to Land Cover Mapping , 2009, WIRN.
[55] Junichi Yamagishi,et al. Glottal spectral separation for parametric speech synthesis , 2008, INTERSPEECH.
[56] Matti Airas,et al. TKK Aparat: An environment for voice inverse filtering and parameterization , 2008, Logopedics, phoniatrics, vocology.
[57] Bin Yang,et al. Cascaded emotion classification via psychological emotion dimensions using a large set of voice quality parameters , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[58] Nicolas Sturmel,et al. Glottal closure instant detection using Lines of Maximum Amplitudes (LOMA) of thewavelet transform , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[59] P. Alku,et al. Closed phase covariance analysis based on constrained linear prediction for glottal inverse filtering. , 2009, The Journal of the Acoustical Society of America.
[60] Thierry Dutoit,et al. Complex cepstrum-based decomposition of speech for glottal source estimation , 2009, INTERSPEECH.
[61] Christian Thiel,et al. Multiple Classifier Systems Incorporating Uncertainty , 2011 .
[62] John Kane,et al. A spectral LF model based approach to voice source parameterisation , 2010, INTERSPEECH.
[63] Jody Kreiman,et al. Integrated software for analysis and synthesis of voice quality , 2010, Behavior research methods.
[64] John Kane,et al. Identifying Regions of Non-Modal Phonation Using Features of the Wavelet Transform , 2011, INTERSPEECH.
[65] M. Lugger,et al. Classification of different speaking groups ITG Fachtagung Sprachkommunikation 2006 CLASSIFICATION OF DIFFERENT SPEAKING GROUPS BY MEANS OF VOICE QUALITY PARAMETERS , 2011 .
[66] Haoxuan Li,et al. LF model based glottal source parameter estimation by extended Kalman filtering , 2011 .
[67] Günther Palm,et al. A generic framework for the inference of user states in human computer interaction , 2012, Journal on Multimodal User Interfaces.
[68] Haoxuan Li,et al. Comparison of time- and frequency-domain based LF-model fitting methods for voice source parametrisation , 2012 .