Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e757fd4fedc4fe825bb81b1b466a0947 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2250-455 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-086 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H1-366 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-071 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-066 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-047 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2250-311 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2220-011 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-076 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-056 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H1-0008 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L13-033 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L25-48 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-289 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-0454 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L13-043 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-58 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L13-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L15-22 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-088 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L13-04 |
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 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cc28355c1df7add049dfce07beb22bcb |
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. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11335326-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021224319-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11475618-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023274100-A1 |
priorityDate |
2019-07-26^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |