Predicting Expressive Speaking Style From Text In End-To-End Speech Synthesis

D. J. Hirst, “La représentation linguistique des systèmes prosodiques: une approche cognitive,” Ph.D. dissertation, Aix-Marseille 1, 1987

1987

Earlier work this paper cites.

K. Silverman, M. Beckman, J. Pitrelli, M. Ostendorf, C. Wightman, P. Price, J. Pierrehumbert, and J. Hirschberg, “ToBI: A standard for labeling english prosody,” in Second International Conference on Spoken Language Processing , 1992

1992

Earlier work this paper cites.

D. Hirst and R. Espesser, “Automatic modelling of fundamental frequency using a quadratic spline function,” Travaux de l’Institut de Phonétique d’Aix , vol. 15, pp. 71–85, 1993. [Online]. Available: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.40.3623

1993

Earlier work this paper cites.

S. A. Liu, “Landmark detection for distinctive feature-based speech recognition,” The Journal of the Acoustical Society of America , vol. 100, no. 5, pp. 3417–3430, 1996

1996

Earlier work this paper cites.

P. Taylor, “The tilt intonation model,” in ICSLP . International Speech Communication Association, 1998

1998

Earlier work this paper cites.

A. Rosenberg, “AuToBI-a tool for automatic ToBI annotation.” in Interspeech , 2010, pp. 146–149. [Online]. Available: http://eniac.cs.qc.cuny.edu/andrew/autobi/

2010

Earlier work this paper cites.

N. Dehak, P. J. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, “Front-end factor analysis for speaker verification,” IEEE Transactions on Audio, Speech, and Language Processing , vol. 19, no. 4, pp. 788–798, 2011

2011

Earlier work this paper cites.

N. Obin, J. Beliao, C. Veaux, and A. Lacheret, “SLAM: Automatic stylization and labelling of speech melody,” in Speech Prosody , 2014, pp. 246–250

2014

Earlier work this paper cites.

K. Cho, B. van Merrienboer, Ã. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio, “Learning phrase representations using RNN encoder-decoder for statistical machine translation.” ACL, 2014, pp. 1724–1734

2014

Earlier work this paper cites.

D. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv:1412.6980 , 2014

Original

2014

Cited alongside, same era.

J. Lee and I. Tashev, “High-level feature representation using recurrent neural network for speech emotion recognition,” in Interspeech 2015 , September 2015

2015

Cited alongside, same era.

R. K. Srivastava, K. Greff, and J. Schmidhuber, “Highway networks,” in International Conference on Machine Learning: Deep Learning Workshop , 2015. [Online]. Available: http://arxiv.org/abs/1505.00387

Original

2015

Cited alongside, same era.

L. Theis, A. v. d. Oord, and M. Bethge, “A note on the evaluation of generative models,” arXiv preprint arXiv:1511.01844 , 2015

Original

2015

Cited alongside, same era.

Y. Wang, R. Skerry-Ryan, D. Stanton, Y. Wu, R. J. Weiss, N. Jaitly, Z. Yang, Y. Xiao, Z. Chen, S. Bengio, Q. Le, Y. Agiomyrgiannakis, R. Clark, and R. A. Saurous, “Tacotron: Towards end-to-end speech synthesis,” in Proc. Interspeech , Aug. 2017, pp. 4006–4010. [Online]. Available: https://arxiv.org/abs/1703.10135

I. Jauk, “Unsupervised learning for expressive speech synthesis,” Ph.D. dissertation, Universitat Politècnica de Catalunya, 2017

2017

Later among the works it cites.

Y. Taigman, L. Wolf, A. Polyak, and E. Nachmani, “Voice synthesis for in-the-wild speakers via a phonological loop,” CoRR , vol. abs/1707.06588, 2017

Original

2017

Later among the works it cites.

Y. Wang, D. Stanton, Y. Zhang, R. Skerry-Ryan, E. Battenberg, J. Shor, Y. Xiao, F. Ren, Y. Jia, and R. A. Saurous, “Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis,” International Conference on Machine Learning , 2018. [Online]. Available: https://arxiv.org/abs/1803.09017

Original

2018

Closest in time.

J. Lorenzo-Trueba, G. E. Henter, S. Takaki, J. Yamagishi, Y. Morino, and Y. Ochiai, “Investigating different representations for modeling and controlling multiple emotions in DNN-based speech synthesis,” Speech Communication , vol. 99, pp. 135–143, 2018

2018

Closest in time.