http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021027761-A1

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filingDate 2019-07-26^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_aad5619f57d525ea781838071d1b6a49
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_66cb740470edbe9fb415bd4196098fa0
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publicationDate 2021-01-28^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2021027761-A1
titleOfInvention Automatic translation using deep learning
abstract Audio data of an original work is received. Text in the audio data is translated to a target language. The audio data is passed to a first deep learning model to learn voice features in the audio data. The audio data is passed to a second deep learning model to learn audio properties in the audio data. The translated text is synchronized to play in the position of original text of the original work in a synthesized voice. A translated audio data of the original work is created by combining the synchronized translated text in the synthesized voice with music of the audio data.
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http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021224319-A1
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http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023274100-A1
priorityDate 2019-07-26^^<http://www.w3.org/2001/XMLSchema#date>
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