TEXT TO SPEECH SYNTHESIS WITHOUT USING PARALLEL TEXT-AUDIO DATA
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United States of America Patent
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Issued Date -
Apr 11, 2024
app pub date -
Sep 27, 2022
filing date -
Sep 27, 2022
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Abstract
An unsupervised text to speech system utilizing a lexicon to map input text to the phoneme sequence, which is expanded to the frame-level forced alignment with a speaker-dependent duration model. An alignment mapping module that converts the forced alignment to the unsupervised alignment (UA). Afterword, a Conditional Disentangled Sequential Variational Auto-encoder (C-DSVAE), serving as the self-supervised TTS AM, takes the predicted UA and a target speaker embedding to generate the mel spectrogram, which is ultimately converted to waveform with a neural vocoder.
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