Statistical Parametric Speech Synthesis

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[2]  Heiga Zen,et al.  A Bayesian approach to HMM-based speech synthesis , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

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[4]  Keiichi Tokuda,et al.  Minimum generation error training by using original spectrum as reference for log spectral distortion measure , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

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[9]  Takashi Nose,et al.  HMM-Based Style Control for Expressive Speech Synthesis with Arbitrary Speaker's Voice Using Model Adaptation , 2009, IEICE Trans. Inf. Syst..

[10]  Takao Kobayashi,et al.  Analysis of Speaker Adaptation Algorithms for HMM-Based Speech Synthesis and a Constrained SMAPLR Adaptation Algorithm , 2009, IEEE Transactions on Audio, Speech, and Language Processing.

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[16]  Yi-Jian Wu,et al.  Analysis of stream-dependent tying structure for HMM-based speech synthesis , 2008, 2008 9th International Conference on Signal Processing.

[17]  Aimilios Chalamandaris,et al.  HMM-Based Speech Synthesis for the Greek Language , 2008, TSD.

[18]  Simon King,et al.  Robustness of HMM-based speech synthesis , 2008, INTERSPEECH.

[19]  Junichi Yamagishi,et al.  Combining Statistical Parameteric Speech Synthesis and Unit-Selection for Automatic Voice Cloning , 2008 .

[20]  Heiga Zen,et al.  The HTS-2008 System: Yet Another Evaluation of the Speaker-Adaptive HMM-based Speech Synthesis System in The 2008 Blizzard Challenge , 2008 .

[21]  Heiga Zen,et al.  Unsupervised adaptation for HMM-based speech synthesis , 2008, INTERSPEECH.

[22]  Junichi Yamagishi,et al.  Glottal spectral separation for parametric speech synthesis , 2008, INTERSPEECH.

[23]  Ren-Hua Wang,et al.  Articulatory control of HMM-based parametric speech synthesis driven by phonetic knowledge , 2008, INTERSPEECH.

[24]  Awad H. Khalil,et al.  Usage of the HMM-Based Speech Synthesis for Intelligent Arabic Voice , 2008, Computers and Their Applications.

[25]  Heiga Zen,et al.  The Nitech-NAIST HMM-Based Speech Synthesis System for the Blizzard Challenge 2006 , 2006, IEICE Trans. Inf. Syst..

[26]  Keiichi Tokuda,et al.  Statistical approach to vocal tract transfer function estimation based on factor analyzed trajectory HMM , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[27]  Li-Rong Dai,et al.  Minimum generation error criterion considering global/local variance for HMM-based speech synthesis , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[28]  Ren-Hua Wang,et al.  Minimum unit selection error training for HMM-based unit selection speech synthesis system , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[29]  Frank K. Soong,et al.  A cross-language state mapping approach to bilingual (Mandarin-English) TTS , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[30]  Ren-Hua Wang,et al.  Minumum generation error linear regression based model adaptation for HMM-based speech synthesis , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[31]  Takashi Nose,et al.  Speaker and style adaptation using average voice model for style control in HMM-based speech synthesis , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[32]  Heiga Zen,et al.  Performance evaluation of the speaker-independent HMM-based speech synthesis system “HTS 2007” for the Blizzard Challenge 2007 , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[33]  Keiichi Tokuda,et al.  On the state definition for a trainable excitation model in HMM-based speech synthesis , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[34]  Jordi Adell,et al.  Corpus and Voices for Catalan Speech Synthesis , 2008, LREC.

[35]  A. Bonafonte,et al.  FLEXIBLE HARMONIC / STOCHASTIC MODELING FOR HMM-BASED SPEECH SYNTHESIS , 2008 .

[36]  S. Sakti,et al.  Development of HMM-based Indonesian Speech Synthesis , 2008 .

[37]  Uden Sherpa,et al.  Pioneering Dzongkha Text-to-Speech Synthesis , 2008 .

[38]  Vincent Pollet,et al.  Synthesis by generation and concatenation of multiform segments , 2008, INTERSPEECH.

[39]  Moncef Gabbouj,et al.  Evaluation of Finnish unit selection and HMM-based speech synthesis , 2008, INTERSPEECH.

[40]  Frank K. Soong,et al.  Generating natural F0 trajectory with additive trees , 2008, INTERSPEECH.

[41]  Heiga Zen,et al.  Probabilistic feature mapping based on trajectory HMMs , 2008, INTERSPEECH.

[42]  Masami Akamine,et al.  Multilevel parametric-base F0 model for speech synthesis , 2008, INTERSPEECH.

[43]  Zhizheng Wu,et al.  Duration refinement by jointly optimizing state and longer unit likelihood , 2008, INTERSPEECH.

[44]  Sabine Buchholz,et al.  Comparing QMT1 and HMMs for the synthesis of American English prosody , 2008 .

[45]  Keiichi Tokuda,et al.  Minimum generation error training with direct log spectral distortion on LSPs for HMM-based speech synthesis , 2008, INTERSPEECH.

[46]  David Malah,et al.  Statistical text-to-speech synthesis with improved dynamics , 2008, INTERSPEECH.

[47]  Lirong Dai,et al.  MINIMUM GENERATION ERROR LINEAR REGRESSION BASED MODEL ADAPTATION FOR HMM-BASED SPEECH SYNTHESIS , 2008 .

[48]  Paavo Alku,et al.  HMM-based Finnish text-to-speech system utilizing glottal inverse filtering , 2008, INTERSPEECH.

[49]  T. Dutoit,et al.  On the use of Machine Learning in Statistical Parametric Speech Synthesis , 2008 .

[50]  Simon King,et al.  The Blizzard Challenge 2008 , 2008 .

[51]  Tomoki Toda,et al.  Voice Conversion Based on Maximum-Likelihood Estimation of Spectral Parameter Trajectory , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[52]  Takashi Nose,et al.  A Style Control Technique for HMM-Based Expressive Speech Synthesis , 2007, IEICE Trans. Inf. Syst..

[53]  Simon King,et al.  Statistical analysis of the Blizzard Challenge 2007 listening test results , 2007 .

[54]  Heiga Zen,et al.  Speaker-Independent HMM-based Speech Synthesis System: HTS-2007 System for the Blizzard Challenge 2007 , 2007 .

[55]  Heiga Zen,et al.  An excitation model for HMM-based speech synthesis based on residual modeling , 2007, SSW.

[56]  Heiga Zen,et al.  Hidden Semi-Markov Model Based Speech Synthesis System , 2006 .

[57]  Ren-Hua Wang,et al.  HMM-Based Hierarchical Unit Selection Combining Kullback-Leibler Divergence with Likelihood Criterion , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[58]  Sadaoki Furui,et al.  Combining Gaussian Mixture Model with Global Variance Term to Improve the Quality of an HMM-Based Polyglot Speech Synthesizer , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[59]  Xia Wang,et al.  A Novel HMM-Based TTS System using Both Continuous HMMS and Discrete HMMS , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[60]  Sumio Watanabe,et al.  Almost All Learning Machines are Singular , 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

[61]  Takao Kobayashi,et al.  Average-Voice-Based Speech Synthesis Using HSMM-Based Speaker Adaptation and Adaptive Training , 2007, IEICE Trans. Inf. Syst..

[62]  HMM-based Spanish speech synthesis using CBR as F 0 estimator , 2007 .

[63]  Heiga Zen,et al.  Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences , 2007, Comput. Speech Lang..

[64]  Heiga Zen,et al.  Model-space MLLR for trajectory HMMs , 2007, INTERSPEECH.

[65]  Minsoo Hahn,et al.  Two-Band Excitation for HMM-Based Speech Synthesis , 2007, IEICE Trans. Inf. Syst..

[66]  Takao Kobayashi,et al.  Implementation and evaluation of an HMM-based Thai speech synthesis system , 2007, INTERSPEECH.

[67]  Heiga Zen,et al.  Details of the Nitech HMM-Based Speech Synthesis System for the Blizzard Challenge 2005 , 2007, IEICE Trans. Inf. Syst..

[68]  Takashi Nose,et al.  Style estimation of speech based on multiple regression hidden semi-Markov model , 2007, INTERSPEECH.

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[73]  Simon King,et al.  Speech Recognition Using Linear Dynamic Models , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[74]  Heiga Zen,et al.  The HMM-based speech synthesis system (HTS) version 2.0 , 2007, SSW.

[75]  Junichi Yamagishi,et al.  Towards an improved modeling of the glottal source in statistical parametric speech synthesis , 2007, SSW.

[76]  Frank K. Soong,et al.  An HMM-Based Mandarin Chinese Text-To-Speech System , 2006, ISCSLP.

[77]  Jong-Jin Kim,et al.  HMM-based Korean speech synthesis system for hand-held devices , 2006, IEEE Transactions on Consumer Electronics.

[78]  Tetsunori Kobayashi,et al.  Hybrid Voice Conversion of Unit Selection and Generation Using Prosody Dependent HMM , 2006, IEICE Trans. Inf. Syst..

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[81]  Ren-Hua Wang,et al.  Minimum Generation Error Training for HMM-Based Speech Synthesis , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[82]  Yoshihiko Nankaku,et al.  On the Use of Phonetic Information for Mapping from Articulatory Movements to Vocal Tract Spectrum , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

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[84]  Takao Kobayashi,et al.  A Style Adaptation Technique for Speech Synthesis Using HSMM and Suprasegmental Features , 2006, IEICE Trans. Inf. Syst..

[85]  Paul Taylor.  Unifying unit selection and hidden Markov model speech synthesis , 2006, INTERSPEECH.

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[87]  Coralie Hemptinne.  Master Thesis: Integration of the Harmonic plus Noise Model (HNM) into the Hidden Markov Model-Based Speech Synthesis System (HTS) , 2006 .

[88]  Wu Yi-jian.  HMM-based Trainable Speech Synthesis for Chinese , 2006 .

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[90]  Wu Guo,et al.  Minimum generation error criterion for tree-based clustering of context dependent HMMs , 2006, INTERSPEECH.

[91]  Takao Kobayashi,et al.  Acoustic model training based on linear transformation and MAP modification for HSMM-based speech synthesis , 2006, INTERSPEECH.

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[96]  Ren-Hua Wang,et al.  Improving the performance of HMM-based voice conversion using context clustering decision tree and appropriate regression matrix format , 2006, INTERSPEECH.

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[101]  Alan W. Black,et al.  CLUSTERGEN: a statistical parametric synthesizer using trajectory modeling , 2006, INTERSPEECH.

[102]  Keiichi Tokuda,et al.  A Speech Parameter Generation Algorithm Considering Global Variance for HMM-Based Speech Synthesis , 2007, IEICE Trans. Inf. Syst..

[103]  Takao Kobayashi,et al.  Speech Synthesis with Various Emotional Expressions and Speaking Styles by Style Interpolation and Morphing , 2005, IEICE Trans. Inf. Syst..

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[106]  Masatsune Tamura,et al.  Scalable concatenative speech synthesis based on the plural unit selection and fusion method , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

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[108]  Keiichi Tokuda,et al.  HMM-based european Portuguese TTS system , 2005, INTERSPEECH.

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[120]  Michael Picheny,et al.  A corpus-based approach to expressive speech synthesis , 2004, SSW.

[121]  Takao Kobayashi,et al.  A style control technique for HMM-based speech synthesis , 2004, INTERSPEECH.

[122]  Keiichi Tokuda,et al.  Decision-tree backing-off in HMM-based speech synthesis , 2004, INTERSPEECH.

[123]  Keiichi Tokuda,et al.  Mapping from articulatory movements to vocal tract spectrum with Gaussian mixture model for articulatory speech synthesis , 2004, SSW.

[124]  Keiichi Tokuda,et al.  XIMERA: a new TTS from ATR based on corpus-based technologies , 2004, SSW.

[125]  Heiga Zen,et al.  Hidden semi-Markov model based speech synthesis , 2004, INTERSPEECH.

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[129]  Heiga Zen,et al.  An introduction of trajectory model into HMM-based speech synthesis , 2004, SSW.

[130]  Mark J. F. Gales,et al.  Switching linear dynamical systems for speech recognition , 2003 .

[131]  Takao Kobayashi,et al.  Modeling of various speaking styles and emotions for HMM-based speech synthesis , 2003, INTERSPEECH.

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[133]  Heiga Zen,et al.  Towards the development of a brazilian portuguese text-to-speech system based on HMM , 2003, INTERSPEECH.

[134]  Heiga Zen,et al.  Decision tree-based simultaneous clustering of phonetic contexts, dimensions, and state positions for acoustic modeling , 2003, INTERSPEECH.

[135]  Jeff A. Bilmes,et al.  Buried Markov models: a graphical-modeling approach to automatic speech recognition , 2003, Comput. Speech Lang..

[136]  Alan W. Black.  Unit selection and emotional speech , 2003, INTERSPEECH.

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[139]  Keiichi Tokuda,et al.  Eigenvoices for HMM-based speech synthesis , 2002, INTERSPEECH.

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[149]  Keiichi Tokuda,et al.  Investigation of State Duration Model based on Gamma distribution for HMM-based Speech Synthesis , 2001 .

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