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12/16/2022
Text-to-speech synthesis based on latent variable conversion using diffusion probabilistic model and variational autoencoder
Text-to-speech synthesis (TTS) is a task to convert texts into speech. T...
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12/16/2022
Investigation of Japanese PnG BERT language model in text-to-speech synthesis for pitch accent language
End-to-end text-to-speech synthesis (TTS) can generate highly natural sy...
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10/15/2021
ESPnet2-TTS: Extending the Edge of TTS Research
This paper describes ESPnet2-TTS, an end-to-end text-to-speech (E2E-TTS)...
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11/10/2020
Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis
We explore pretraining strategies including choice of base corpus with t...
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10/22/2020
How Similar or Different Is Rakugo Speech Synthesizer to Professional Performers?
We have been working on speech synthesis for rakugo (a traditional Japan...
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10/19/2020
End-to-End Text-to-Speech using Latent Duration based on VQ-VAE
Explicit duration modeling is a key to achieving robust and efficient al...
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05/20/2020
Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis
Neural sequence-to-sequence text-to-speech synthesis (TTS) can produce h...
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10/28/2019
Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment
Sequence-to-sequence text-to-speech (TTS) is dominated by soft-attention...
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08/30/2019
Initial investigation of an encoder-decoder end-to-end TTS framework using marginalization of monotonic hard latent alignments
End-to-end text-to-speech (TTS) synthesis is a method that directly conv...
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10/29/2018