Emphasizing portions of synthesized speech

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12243511
SERIAL NO

17709788

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Abstract

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A neural text-to-speech system may be configured to emphasize words. Applying emphasis where appropriate enables the TTS system to better reproduce prosodic characteristics of human speech. Emphasis may make the resulting synthesized speech more understandable and engaging than synthesized speech lacking emphasis. Emphasis may be manually annotated to, and/or predicted from, a source text (e.g., a book). In some implementations, the system may use a generative model such as a variational autoencoder to generate word acoustic embeddings indicating how emphasis is to be reflected in the synthesized speech. A phoneme encoder of the TTS system may process phonemes to generate phoneme embeddings. A decoder may process the word acoustic embeddings and the phoneme embeddings to generate spectrogram data representing the synthesized speech.

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Patent Owner(s)

  • AMAZON TECHNOLOGIES INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Joly, Arnaud Vincent Pierre Yves Cambridge, GB 6 5
Lajszczak, Mateusz Aleksander Cambridge, GB 2 0
Li, Ruizhe London, GB 5 2
Nicolis, Marco London, GB 7 46
Sobanski, Jedrzej Gdansk, PL 1 0
Sokolova, Elena Sergeevna London, GB 2 0
van, Korlaar Arent London, GB 4 9

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