-
公开(公告)号：US20210210076A1
公开(公告)日：2021-07-08
申请号：US17211488
申请日：2021-03-24
申请人： Google LLC
发明人： James Kuczmarski , Vibhor Jain , Amarnag Subramanya , Nimesh Ranjan , Melvin Jose Johnson Premkumar , Vladimir Vuskovic , Luna Dai , Daisuke Ikeda , Nihal Sandeep Balani , Jinna Lei , Mengmeng Niu
IPC分类号： G10L15/183 , G10L15/00 , G10L15/22
摘要： Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.
-
公开(公告)号：US10984784B2
公开(公告)日：2021-04-20
申请号：US16082175
申请日：2018-04-16
申请人： Google LLC
发明人： James Kuczmarski , Vibhor Jain , Amarnag Subramanya , Nimesh Ranjan , Melvin Jose Johnson Premkumar , Vladimir Vuskovic , Luna Dai , Daisuke Ikeda , Nihal Sandeep Balani , Jinna Lei , Mengmeng Niu
IPC分类号： G10L15/00 , G10L15/183 , G10L15/22
摘要： Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.
-
3.发明申请公开(公告)号：US20200320984A1
公开(公告)日：2020-10-08
申请号：US16082175
申请日：2018-04-16
申请人： Google LLC
发明人： James Kuczmarski , Vibhor Jain , Amarnag Subramanya , Nimesh Ranjan , Melvin Jose Johnson Premkumar , Vladimir Vuskovic , Luna Dai , Daisuke Ikeda , Nihal Sandeep Balani , Jinna Lei , Mengmeng Niu
IPC分类号： G10L15/183 , G10L15/22 , G10L15/00
摘要： Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.
-
公开(公告)号：US20200184158A1
公开(公告)日：2020-06-11
申请号：US16792572
申请日：2020-02-17
申请人： Google LLC
发明人： James Kuczmarski , Vibhor Jain , Amarnag Subramanya , Nimesh Ranjan , Melvin Jose Johnson Premkumar , Vladimir Vuskovic , Luna Dai , Daisuke Ikeda , Nihal Sandeep Balani , Jinna Lei , Mengmeng Niu , Hongjie Chai , Wangqing Yuan
摘要： Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.
-
公开(公告)号：US11915692B2
公开(公告)日：2024-02-27
申请号：US17211488
申请日：2021-03-24
申请人： Google LLC
发明人： James Kuczmarski , Vibhor Jain , Amarnag Subramanya , Nimesh Ranjan , Melvin Jose Johnson Premkumar , Vladimir Vuskovic , Luna Dai , Daisuke Ikeda , Nihal Sandeep Balani , Jinna Lei , Mengmeng Niu
IPC分类号： G06F40/00 , G10L15/183 , G10L15/00 , G10L15/22 , G06F16/33 , G06N20/00 , G06F16/332 , G06F40/47 , G06F40/58 , H04L51/02 , G06F18/22
CPC分类号： G10L15/183 , G06F16/3329 , G06F16/3337 , G06F18/22 , G06F40/47 , G06F40/58 , G06N20/00 , G10L15/005 , G10L15/22 , H04L51/02
摘要： Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.
-
公开(公告)号：US11354521B2
公开(公告)日：2022-06-07
申请号：US16792572
申请日：2020-02-17
申请人： Google LLC
发明人： James Kuczmarski , Vibhor Jain , Amarnag Subramanya , Nimesh Ranjan , Melvin Jose Johnson Premkumar , Vladimir Vuskovic , Luna Dai , Daisuke Ikeda , Nihal Sandeep Balani , Jinna Lei , Mengmeng Niu , Hongjie Chai , Wangqing Yuan
IPC分类号： G06F40/00 , G06F40/58 , G06F40/47 , G06F16/33 , G06K9/62 , H04L51/02 , G06N20/00 , G06F16/332
摘要： Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.
-
公开(公告)号：US11942082B2
公开(公告)日：2024-03-26
申请号：US17825778
申请日：2022-05-26
申请人： GOOGLE LLC
发明人： James Kuczmarski , Vibhor Jain , Amarnag Subramanya , Nimesh Ranjan , Melvin Jose Johnson Premkumar , Vladimir Vuskovic , Luna Dai , Daisuke Ikeda , Nihal Sandeep Balani , Jinna Lei , Mengmeng Niu , Hongjie Chai , Wangqing Yuan
IPC分类号： G06F40/47 , G06F16/33 , G06F16/332 , G06F18/22 , G06F40/58 , G06N20/00 , G10L15/00 , G10L15/183 , G10L15/22 , H04L51/02
CPC分类号： G10L15/183 , G06F16/3329 , G06F16/3337 , G06F18/22 , G06F40/47 , G06F40/58 , G06N20/00 , G10L15/005 , G10L15/22 , H04L51/02
摘要： Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.
-
公开(公告)号：US11875788B2
公开(公告)日：2024-01-16
申请号：US17211488
申请日：2021-03-24
申请人： Google LLC
发明人： James Kuczmarski , Vibhor Jain , Amarnag Subramanya , Nimesh Ranjan , Melvin Jose Johnson Premkumar , Vladimir Vuskovic , Luna Dai , Daisuke Ikeda , Nihal Sandeep Balani , Jinna Lei , Mengmeng Niu
IPC分类号： G06F40/00 , G10L15/183 , G10L15/00 , G10L15/22 , G06F16/33 , G06N20/00 , G06F16/332 , G06F40/47 , G06F40/58 , H04L51/02 , G06F18/22
CPC分类号： G10L15/183 , G06F16/3329 , G06F16/3337 , G06F18/22 , G06F40/47 , G06F40/58 , G06N20/00 , G10L15/005 , G10L15/22 , H04L51/02
摘要： Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.
-
公开(公告)号：US20220284198A1
公开(公告)日：2022-09-08
申请号：US17825778
申请日：2022-05-26
申请人： GOOGLE LLC
发明人： James Kuczmarski , Vibhor Jain , Amarnag Subramanya , Nimesh Ranjan , Melvin Jose Johnson Premkumar , Vladimir Vuskovic , Luna Dai , Daisuke Ikeda , Nihal Sandeep Balani , Jinna Lei , Mengmeng Niu , Hongjie Chai , Wangqing Yuan
摘要： Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.
-
-
-
-
-
-
-
-
搜索结果
9 条记录 (耗时 0.015 秒)
