COMPUTING SYSTEM FOR UNSUPERVISED EMOTIONAL TEXT TO SPEECH TRAINING
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United States of America Patent
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Issued Date -
Apr 13, 2023
app pub date -
Feb 22, 2022
filing date -
Sep 30, 2021
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Abstract
A text to speech (TTS) model is trained based on training data including text samples. The text samples are provided to a text embedding model for outputting text embeddings for the text samples. The text embeddings are clustered into several clusters of text embeddings. The several clusters are representative of variations in emotion. The TTS model is then trained based upon the several clusters of text embeddings. Upon being trained, the TTS model is configured to receive text input and output a spoken utterance that corresponds to the text input. The TTS model is configured to output the spoken utterance with emotion. The emotion is based upon the text input and the training of the TTS model.
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