24.1.15.2 Speech Synthesis, Synthetic Speech

Chapter Contents (Back)
Speech. Speech Synthesis. Synthesis, Speech.

Yeh, C.Y., Hwang, S.H.,
Efficient text analyser with prosody generator-driven approach for Mandarin text-to-speech,
VISP(152), No. 6, December 2005, pp. 793-799.
DOI Link 0512
BibRef

Chouireb, F.[Fatima], Guerti, M.[Mhania],
Towards a high quality Arabic speech synthesis system based on neural networks and residual excited vocal tract model,
SIViP(2), No. 1, January 2008, pp. 73-87.
Springer DOI 0712
BibRef

Elfitri, I., Gunel, B., Kondoz, A.M.,
Multichannel Audio Coding Based on Analysis by Synthesis,
PIEEE(99), No. 4, April 2011, pp. 657-670.
IEEE DOI 1103
Part of 3-D display series. BibRef

Jung, C.S.[Chi-Sang], Joo, Y.S.[Young-Sun], Kang, H.G.[Hong-Goo],
Waveform Interpolation-Based Speech Analysis/Synthesis for HMM-Based TTS Systems,
SPLetters(19), No. 12, December 2012, pp. 809-812.
IEEE DOI 1212
BibRef

Carmona, J.L., Barker, J., Gomez, A.M., Ma, N.[Ning],
Speech Spectral Envelope Enhancement by HMM-Based Analysis/Resynthesis,
SPLetters(20), No. 6, 2013, pp. 563-566.
IEEE DOI speech enhancement 1307
BibRef

Tokuda, K., Nankaku, Y., Toda, T., Zen, H., Yamagishi, J., Oura, K.,
Speech Synthesis Based on Hidden Markov Models,
PIEEE(100), No. 5, May 2013, pp. 1234-1252.
IEEE DOI 1305
BibRef

Ling, Z., Kang, S., Zen, H., Senior, A., Schuster, M., Qian, X., Meng, H., Deng, L.,
Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends,
SPMag(32), No. 3, May 2015, pp. 35-52.
IEEE DOI 1504
Acoustic signal detection BibRef

Bordel, G., Penagarikano, M., Rodriguez-Fuentes, L.J., Alvarez, A., Varona, A.,
Probabilistic Kernels for Improved Text-to-Speech Alignment in Long Audio Tracks,
SPLetters(23), No. 1, January 2016, pp. 126-129.
IEEE DOI 1601
Acoustics BibRef

Ninh, D.K.[Duy Khanh], Yamashita, Y.[Yoichi],
F0 Parameterization of Glottalized Tones in HMM-Based Speech Synthesis for Hanoi Vietnamese,
IEICE(E98-D), No. 12, December 2015, pp. 2280-2289.
WWW Link. 1601
BibRef

Erro, D.,
Two-Band Radial Postfiltering in Cepstral Domain with Application to Speech Synthesis,
SPLetters(23), No. 2, February 2016, pp. 202-206.
IEEE DOI 1602
filtering theory BibRef

Hu, Y.J., Ling, Z.H.,
DBN-based Spectral Feature Representation for Statistical Parametric Speech Synthesis,
SPLetters(23), No. 3, March 2016, pp. 321-325.
IEEE DOI 1603
belief networks BibRef

Tsiaras, V., Maia, R., Diakoloukas, V., Stylianou, Y., Digalakis, V.,
Global Variance in Speech Synthesis With Linear Dynamical Models,
SPLetters(23), No. 8, August 2016, pp. 1057-1061.
IEEE DOI 1608
speech synthesis BibRef

Wang, F.Z.[Fang-Zhou], Nagano, H.[Hidehisa], Kashino, K.[Kunio], Igarashi, T.[Takeo],
Visualizing Video Sounds With Sound Word Animation to Enrich User Experience,
MultMed(19), No. 2, February 2017, pp. 418-429.
IEEE DOI 1702
BibRef

Sharma, B., Prasanna, S.R.M.,
Enhancement of Spectral Tilt in Synthesized Speech,
SPLetters(24), No. 4, April 2017, pp. 382-386.
IEEE DOI 1704
speech enhancement BibRef

Singh, R.[Rita], Jiménez, A.[Abelino], Řland, A.[Anders],
Voice disguise by mimicry: deriving statistical articulometric evidence to evaluate claimed impersonation,
IET-Bio(6), No. 4, July 2017, pp. 282-289.
DOI Link 1707
BibRef

Lee, K.S.,
Restricted Boltzmann Machine-Based Voice Conversion for Nonparallel Corpus,
SPLetters(24), No. 8, August 2017, pp. 1103-1107.
IEEE DOI 1708
Boltzmann machines, probability, speaker recognition, OGI VOICES corpus, conditional probability density function maximization, conversion function, linear transformation, nonparallel corpus, parallel training corpus, restricted Boltzmann machine, restricted boltzmann machine-based voice conversion, robust high-quality voice conversion, spectral feature distribution, subjective listening test, target speaker, Covariance matrices, Feature extraction, Matrix converters, Probability density function, Speech, Training, Training data, Linear transformation, restricted Boltzmann machine (RBM), voice, conversion, (VC) BibRef

Reddy, M.K., Rao, K.S.,
Robust Pitch Extraction Method for the HMM-Based Speech Synthesis System,
SPLetters(24), No. 8, August 2017, pp. 1133-1137.
IEEE DOI 1708
feature extraction, hidden Markov models, speech synthesis, wavelet transforms, CMU Arctic and Keele databases, HMM-based speech synthesis system, continuous wavelet transform coefficients, hidden Markov model-based HTS, pitch estimation, pitch tracking, robust pitch extraction method, speech representation, Hidden Markov models, High-temperature superconductors, Speech, BibRef


Rybárová, R., Drozd, I., Rozinaj, G.,
GUI for interactive speech synthesis,
WSSIP16(1-4)
IEEE DOI 1608
XML BibRef

Coto-Jiménez, M.[Marvin], Goddard-Close, J.[John],
LSTM Deep Neural Networks Postfiltering for Improving the Quality of Synthetic Voices,
MCPR16(280-289).
Springer DOI 1608
BibRef

Vasek, M., Rozinaj, G., Rybárová, R.,
Letter-To-Sound conversion for speech synthesizer,
WSSIP16(1-4)
IEEE DOI 1608
speech processing BibRef

Rybarová, R., del Corral, G., Rozinaj, G.,
Diphone spanish text-to-speech synthesizer,
WSSIP15(121-124)
IEEE DOI 1603
natural language processing BibRef

Verma, R., Sarkar, P., Rao, K.S.,
Conversion of neutral speech to storytelling style speech,
ICAPR15(1-6)
IEEE DOI 1511
natural language processing BibRef

Wang, Y.[Yang], Tao, J.H.[Jian-Hua], Yang, M.H.[Ming-Hao], Li, Y.[Ya],
Extended Decision Tree with or Relationship for HMM-Based Speech Synthesis,
ACPR13(225-229)
IEEE DOI 1408
decision trees BibRef

Gao, L.[Lu], Yu, H.Z.[Hong-Zhi], Zhang, J.H.[Jins-Huang], Fang, H.P.[Hua-Ping],
Research on HMM_based speech synthesis for Lhasa dialect,
IASP11(429-433).
IEEE DOI 1112
BibRef

Chakraborty, R.[Rupayan], Garain, U.[Utpal],
Role of Synthetically Generated Samples on Speech Recognition in a Resource-Scarce Language,
ICPR10(1618-1621).
IEEE DOI 1008
BibRef

Rao, K.S.[K. Sreenivasa], Maity, S.[Sudhamay], Taru, A.[Amol], Koolagudi, S.G.[Shashidhar G.],
Unit Selection Using Linguistic, Prosodic and Spectral Distance for Developing Text-to-Speech System in Hindi,
PReMI09(531-536).
Springer DOI 0912
BibRef

Bahrampour, A.[Anvar], Barkhoda, W.[Wafa], Azami, B.Z.[Bahram Zahir],
Implementation of Three Text to Speech Systems for Kurdish Language,
CIARP09(321-328).
Springer DOI 0911
BibRef

Shirbahadurkar, S.D., Bormane, D.S.,
Marathi Language Speech Synthesizer Using Concatenative Synthesis Strategy (Spoken in Maharashtra, India),
ICMV09(181-185).
IEEE DOI 0912
BibRef

Tucková, J.[Jana], Holub, J.[Jan], Dubeda, T.[Tomáš],
Technical and Phonetic Aspects of Speech Quality Assessment: The Case of Prosody Synthesis,
COST08(126-132).
Springer DOI 0810
BibRef

Bauer, D.[Dominik], Kannampuzha, J.[Jim], Kröger, B.J.[Bernd J.],
Articulatory Speech Re-synthesis: Profiting from Natural Acoustic Speech Data,
COST08(344-355).
Springer DOI 0810
BibRef

Gu, H.Y.[Hung-Yan], Cai, C.L.[Chen-Lin], Cai, S.F.[Song-Fong],
An HNM-Based Speaker-Nonspecific Timbre Transformation Scheme for Speech Synthesis,
CISP09(1-5).
IEEE DOI 0910
BibRef

Chapter on New Unsorted Entries, and Other Miscellaneous Papers continues in
Speaker Verification, Speaker Identification .


Last update:Nov 11, 2017 at 13:31:57