On the impact of excitation and spectral parameters for expressive statistical parametric speech synthesis

Computer Speech and Language

Volumn 28, Issue 5, 2014, Pages 1209-1232

  Maia, Ranniery ^a   Akamine, Masami ^a  

^a TOSHIBA CORPORATION   (Japan)

Author keywords

Expressive speech synthesis; Speech parameterization; Speech synthesis; Statistical parametric speech synthesis

Indexed keywords

SPEECH PROCESSING; SPEECH SYNTHESIS;

EMOTION IDENTIFICATIONS; EXCITATION PARAMETERS; EXPRESSIVE SPEECH SYNTHESIS; GAUSSIAN MIXTURE MODEL; PARAMETRIC SYNTHESIS; SOURCE-FILTER MODELS; SPEAKER AND LANGUAGE FACTORIZATIONS; STATISTICAL PARAMETRIC SPEECH SYNTHESIS;

STATISTICS;

EID: 84902548006     PISSN: 08852308     EISSN: 10958363     Source Type: Journal    
DOI: 10.1016/j.csl.2013.10.001     Document Type: Article

References (45)

1. M. Airas, and P. Alku Emotions in vowel segments of continuous speech: analysis of the glottal flow using the normalized amplitude quotient Phonetica 63 1 2006 26 46 (Pubitemid 43333524)
2. M. Airas, and P. Alku Comparison of multiple voice source parameters in different phonation types Proc. of Interspeech 2007 1410 1413
3. P. Alku, and T. Backstrom Normalized amplitude and quotient for parameterization of the glottal flow Journal of the Acoustical Society of America 112 August (2) 2002 701 710 (Pubitemid 34855925)
4. H. Banno, J. Lu, S. Nakamura, K. Shikano, and H. Kawahara Efficient representation of short-time phase based on group delay Proc. of ICASSP 1998 861 864
5. C.M. Bishop Pattern Recognition and Machine Learning 2006 Springer
6. J. Cabral, S. Renals, K. Richmond, and J. Yamagishi Towards an improved modeling of the glottal source in statistical parametric speech synthesis Proc. of 6th ISCA Speech Synthesis Workshop 2007 113 118
7. J.R. Deller Jr., J.H.L. Hansen, and J.G. Proaks Discrete-Time Processing of Speech Signals 2000 IEEE Press Classic Reissue
8. T. Drugman, B. Bozkurt, and T. Dutoit Causal-anticausal decomposition of speech using complex cepstrum for glottal source estimation Speech Communication 53 2011 855 866
9. T. Drugman, G. Wilfart, and T. Dutoit A deterministic plus stochastic model of residual signal for improved parametric speech synthesis Proc. of Interspeech 2009 1779 1782
10. P.A. Estévez, M. Tesmer, C.A. Perez, and J.M. Zurada Normalized mutual information feature selection IEEE Transactions on Neural Networks 20 February (2) 2009 189 201
11. G. Fant, J. Liljencrants, and Q. Lin A four-parameter model of the glottal flow STL-QPSR 26 4 1985 001 013
12. O. Fujimura An approximation to voice aperiodicity IEEE Transactions on Audio and Electroacoustics 16 March (1) 1968 68 72
13. T. Fukada, K. Tokuda, T. Kobayashi, and S. Imai An adaptive algorithm for mel-cepstral analysis of speech Proc. of ICASSP 1992 137 140
14. M.J.F. Gales Maximum likelihood linear transforms for HMM-based speech recognition Computer Speech and Language 12 April (2) 1998 75 98 (Pubitemid 128383747)
15. M.J.F. Gales Cluster adaptive training of hidden Markov models IEEE Transactions on Speech and Audio Processing 8 July (4) 2000 417 428
16. P.J. Jackson, and C.H. Shadle Pitch-scaled estimation of simultaneous voiced and turbulence-noise components in speech IEEE Transactions on Speech and Audio Processing 9 October (7) 2001 713 726 (Pubitemid 32992835)
17. P. Kabal, and R.P. Ramachandran The computation of line spectral frequencies using Chebyshev Polynomials IEEE Transactions on Acoustics, Speech, Signal Processing 34 December (6) 1986 1419 1426
18. H. Kawahara, J. Estill, and O. Fujimura Aperiodicity extraction and control using mixed mode excitation and group delay manipulation for a high quality speech analysis, modification and synthesis system STRAIGHT Proc. of MAVEBA 2001 13 18
19. W.B. Kleijn, and K.K. Paliwal Speech Coding and Synthesis 1995 Elsevier
20. K. Koishida, G. Hirabayashi, K. Tokuda, and T. Kobayashi A 16 kb/s wideband CELP-based speech coder using mel-generalized cepstral analysis IEICE Transactions on Information & Systems E83-D April (4) 2000 876 883
21. R. Maia, and M. Akamine Analysis on the importance of short-term speech parameterizations for emotional statistical parametric speech synthesis Proc. of Interspeech 2012
22. R. Maia, M. Akamine, and M. Gales Complex cepstrum for statistical parametric speech synthesis Speech Communication 5 June (55) 2013 606 618
23. R. Maia, M. Akamine, and M.F.J. Gales Complex cepstrum as phase information for statistical parametric speech synthesis Proc. of ICASSP 2012 4581 4584
24. R. Maia, M. Gales, Y. Stylianou, and M. Akamine Minimum mean squared error based warped complex cepstrum analysis for statistical parametric speech synthesis Proc. of Interspeech 2013 (in press)
25. R. Maia, T. Toda, H. Zen, Y. Nankaku, and K. Tokuda An excitation model for HMM-based speech synthesis based on residual modeling Proc. of the 6th ISCA Workshop on Speesh Synthesis 2007 131 136
26. J. Markel, and A. Gray Linear Prediction of Speech 1982 Springer-Verlag New York
27. J.O. Smith III, and J.S. Abel Bark and ERB bilinear transforms IEEE Transactions on Speech and Audio Processing 7 November (6) 1999 697 708
28. A.V. Oppenheim, and D.H. Johnson Discrete representation of signals Proceedings of IEEE 60 June (6) 1972 681 691
29. A.W. Oppenheim Discrete-time Signal Processing 2010 Pearson
30. M.D. Plumpe, T.F. Quatieri, and D.A. Reynolds Modeling of the glottal flow derivative waveform with application to speaker identification IEEE Transactions on Speech and Audio Processing 7 September (5) 1999 569 586
31. A. Přibilová, and J. Přibil Multimodal signals: cognitive and algorithmic issues Ch. Spectrum Modification for Emotional Speech Synthesis 2009 Springer-Verlag 232 241 10.1007/978-3-642-00525-1-23
32. T.F. Quatieri Speech Signal Processing 2002 Prentice Hall Signal Processing Series
33. L.R. Rabiner, and R.W. Schafer Digital Processing of Speech Signals 1978 Prentice Hall
34. T. Raitio, A. Suni, J. Yamagishi, H. Pulakka, J. Nurminen, M. Vainio, and P. Alku HMM-based speech synthesis utilizing glottal inverse filtering IEEE Transactions on Audio, Speech and Language Processing 19 January (1) 2011 153 165
35. D.A. Reynolds, and R.C. Rose Robust text-independent speaker identification using Gaussian mixture speaker models IEEE Transactions on Speech and Audio Processing 3 January (1) 1995 72 83
36. G. Salvi, F. Tesser, E. Zovato, and P. Cosi Cluster analysis of differential spectral envelopes on emotional speech Proc. of Interspeech 2010 322 325
37. E. Székely, J.P. Cabral, P. Cahill, and J. Carson-Berndsen Clustering expressive speech styles in audiobooks using glottal source parameters Proc. of Interspeech 2011 2409 2412
38. J. Tao, Y. Kang, and A. Li Prosody conversion from neutral to emotional speech IEEE Transactions on Audio, Speech, and Language Processing 14 July (4) 2006 1145 1154
39. K. Tokuda, T. Kobayashi, T. Masuko, and S. Imai Mel-generalized cepstral analysis - a unified approach to speech spectral estimation Proc. of ICSLP 1994 1043 1046
40. V. Wan, J. Latorre, K. Chin, L. Chen, M. Gales, H. Zen, K. Knill, and M. Akamine Combining multiple high quality corpora for improving HMM-TTS Proc. of Interspeech 2012
41. T. Yoshimura, K. Tokuda, T. Masuko, T. Kobayashi, and T. Kitamura Mixed-excitation for HMM-based speech synthesis Proc. of Eurospeech 2001 2263 2266
42. K. Yu, H. Zen, F. Mairesse, and S. Young Context adaptive training with factorized decision trees for HMM-based statistical parametric speech synthesis Speech Communication 53 July (6) 2011 914 923
43. H. Zen, N. Braunschweiler, S. Buchholz, M. Gales, K. Knill, S. Krstulovic, and J. Latorre Statistical parametric speech synthesis based on speaker and language factorization. IEEE Transactions on Audio, Speech, and Language Processing 20 August (6) 2012 1713 1724
44. H. Zen, T. Toda, M. Nakamura, and K. Tokuda Details of the Nitech HMM-based speech synthesis for Blizzard Challenge 2005 IEICE Transactions on Information and Systems E90-D January (1) 2005 325 333
45. H. Zen, K. Tokuda, and A. Black Statistical parametric speech synthesis Speech Communication 51 November (11) 2009 1039 1064