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Speech parameter generation algorithms for HMM-based speech synthesis
Abstract
This paper derives a speech parameter generation algorithm for HMM-based speech synthesis, in which the speech parameter sequence is generated from HMMs whose observation vector consists of a spectral parameter vector and its dynamic feature vectors. In the algorithm, we assume that the state sequence (state and mixture sequence for the multi-mixture case) or a part of the state sequence is unobservable (i.e., hidden or latent). As a result, the algorithm iterates the forward-backward algorithm and the parameter generation algorithm for the case where the state sequence is given. Experimental results show that by using the algorithm, we can reproduce clear formant structure from multi-mixture HMMs as compared with that produced from single-mixture HMMs.
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Citations
Cited by
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
Shen, J., Pang, R., Weiss, R. J., Schuster, M., Jaitly, N., Yang, Z., Chen, Z., Zhang, Y., Wang, Y., Skerrv-Ryan, R., et al. (2018) · 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp.2018.8461368 · Cited by 2,791
Neural Speech Synthesis with Transformer Network
Li, N., Liu, S., Liu, Y., Zhao, S., & Liu, M. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33016706 · Cited by 754
TTS synthesis with bidirectional LSTM based recurrent neural networks
Fan, Y., Qian, Y., Xie, F.-L., & Soong, F. K. (2014) · Interspeech 2014 · doi:10.21437/interspeech.2014-443 · Cited by 426
A survey on neural speech synthesis
Tan, X., Qin, T., Soong, F., & Liu, T.-Y. (2021) · arXiv · doi:10.48550/arxiv.2106.15561 · Cited by 216
“High-quality nonparallel voice conversion based on cycle-consistent adversarial network,”
Fang, F., Yamagishi, J., Echizen, I., & Lorenzo-Trueba, J. (2018) · 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp.2018.8462342 · Cited by 128
Metadata
- Authors
- Tokuda, K., Yoshimura, T., Masuko, T., Kobayashi, T., & Kitamura, T.
- Venue
- 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)
- Publisher
- IEEE
- Published
- 2002-11-07
- Volume
- 3
- Pages
- 1315-1318
- ISSN
- 1520-6149 (ISSN-L)
- OpenAlex
- W2154920538
- Cited by
- 999
- References
- 0
- FWCI
- 7.61
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Tokuda, K., Yoshimura, T., Masuko, T., Kobayashi, T., & Kitamura, T. (2002). Speech parameter generation algorithms for HMM-based speech synthesis. 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100). https://doi.org/10.1109/icassp.2000.861820
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