公开(公告)号：US12205580B1

公开(公告)日：2025-01-21

申请号：US17036617

申请日：2020-09-29

Applicant: Amazon Technologies, Inc.

Inventor： Joe Pemberton ,  Michael Schwartz ,  Vijitha Raji ,  Archit Jain ,  Tara Raj ,  Alexander Go

IPC: G10L15/22

Abstract: Techniques for selecting a skill component to process a natural language input are described. When a natural language input is received, natural language understanding (NLU) output data representing the natural language input is generated, and skill components (capable of processing the NLU output data) are determined. Thereafter, rules (for preventing the invocation of skill components) are implemented in a tiered manner, resulting in the determination of a subset of the skill components. The subset of skill components is ranked using a machine learning model(s), and the top-ranked skill component is called to process the NLU output data.

公开(公告)号：US11636851B2

公开(公告)日：2023-04-25

申请号：US17387157

申请日：2021-07-28

Applicant: Amazon Technologies, Inc.

Inventor： Munir Mahmood ,  Leopold Bushkin ,  Alexander Thomas Loeb ,  Michael Schwartz ,  Mohammed Arif ,  Rongzhou Shen ,  Vikram Kumar Gundeti ,  Shemyla Anwar ,  Yaser Khan ,  Edward Page Foyle ,  Bo Li

IPC: G10L15/18 ,  G10L15/22 ,  G10L15/30 ,  G10L13/00

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.

公开(公告)号：US20210090575A1

公开(公告)日：2021-03-25

申请号：US16580307

申请日：2019-09-24

Applicant: Amazon Technologies, Inc.

Inventor： Munir Mahmood ,  Leopold Bushkin ,  Alexander Thomas Loeb ,  Michael Schwartz ,  Mohammed Arif ,  Rongzhou Shen ,  Vikram Kumar Gundeti ,  Shemyla Anwar ,  Yaser Khan ,  Edward Page Foyle ,  Bo Li

IPC: G10L15/32 ,  G10L13/047 ,  G10L15/26 ,  G06F16/9032 ,  G10L17/10 ,  G10L15/18

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant during a dialog between one or more users and the NLP system are described. The NLP system may receive a first natural language input and associate same with a dialog identifier. The NLP system may output audio, responsive to the first natural language input, in a first NLP system assistant's voice. Thereafter, the NLP system may receive a second natural language input and associate same with the dialog identifier. The NLP system may output audio, responsive to the second natural language input, in a second NLP system assistant's voice.

公开(公告)号：US20230282206A1

公开(公告)日：2023-09-07

申请号：US18182762

申请日：2023-03-13

Applicant: Amazon Technologies, Inc.

Inventor： Munir Mahmood ,  Leopold Bushkin ,  Alexander Thomas Loeb ,  Michael Schwartz ,  Mohammed Arif ,  Rongzhou Shen ,  Vikram Kumar Gundeti ,  Shemyla Anwar ,  Yaser Khan ,  Edward Page Foyle ,  Bo Li

IPC: G10L15/18 ,  G10L15/22 ,  G10L15/30 ,  G10L13/00

CPC classification number: G10L15/1815 ,  G10L15/22 ,  G10L15/30 ,  G10L13/00 ,  G10L2015/223

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.

公开(公告)号：US11508372B1

公开(公告)日：2022-11-22

申请号：US16904853

申请日：2020-06-18

Applicant: Amazon Technologies, Inc.

Inventor： Michael Schwartz ,  Joe Pemberton ,  Steven Mack Saunders ,  Archit Jain ,  Alexander Go

IPC: G06F40/30 ,  G10L15/22 ,  G10L15/18 ,  G06N20/20 ,  G10L15/06 ,  G10L15/183 ,  G06F40/35 ,  G06F40/295 ,  G06F16/332

Abstract: Techniques for performing runtime ranking of skill components are described. A skill developer may generate a rule indicating a skill component is to be invoked at runtime when a natural language input corresponds to a specific context. At runtime, a virtual assistant system may implement a machine learned model to generate an initial ranking of skill components. Thereafter, the virtual assistant system may use skill component-specific rules to adjust the initial ranking, and this second ranking is used to determine which skill component to invoke to respond to the natural language input. Overtime, if a rule results in beneficial user experiences, the virtual assistant system may incorporate the rule into the machine learned model.

公开(公告)号：US11120790B2

公开(公告)日：2021-09-14

申请号：US16580643

申请日：2019-09-24

Applicant: Amazon Technologies, Inc.

Inventor： Munir Mahmood ,  Leopold Bushkin ,  Alexander Thomas Loeb ,  Michael Schwartz ,  Mohammed Arif ,  Rongzhou Shen ,  Vikram Kumar Gundeti ,  Shemyla Anwar ,  Yaser Khan ,  Edward Page Foyle ,  Bo Li

IPC: G10L15/18 ,  G10L15/22 ,  G10L15/30 ,  G10L13/00

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.

公开(公告)号：US20210090555A1

公开(公告)日：2021-03-25

申请号：US16580643

申请日：2019-09-24

Applicant: Amazon Technologies, Inc.

Inventor： Munir Mahmood ,  Leopold Bushkin ,  Alexander Thomas Loeb ,  Michael Schwartz ,  Mohammed Arif ,  Rongzhou Shen ,  Vikram Kumar Gundeti ,  Shemyla Anwar ,  Yaser Khan ,  Edward Page Foyle ,  Bo Li

IPC: G10L15/18 ,  G10L15/22 ,  G10L13/04 ,  G10L15/30

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.

公开(公告)号：US20210398525A1

公开(公告)日：2021-12-23

申请号：US17387157

申请日：2021-07-28

Applicant: Amazon Technologies, Inc.

Inventor： Munir Mahmood ,  Leopold Bushkin ,  Alexander Thomas Loeb ,  Michael Schwartz ,  Mohammed Arif ,  Rongzhou Shen ,  Vikram Kumar Gundeti ,  Shemyla Anwar ,  Yaser Khan ,  Edward Page Foyle ,  Bo Li

IPC: G10L15/18 ,  G10L15/22 ,  G10L15/30 ,  G10L13/00

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.

公开(公告)号：US20210090572A1

公开(公告)日：2021-03-25

申请号：US16580721

申请日：2019-09-24

Applicant: Amazon Technologies, Inc.

Inventor： Munir Mahmood ,  Leopold Bushkin ,  Alexander Thomas Loeb ,  Michael Schwartz ,  Mohammed Arif ,  Rongzhou Shen ,  Vikram Kumar Gundeti ,  Shemyla Anwar ,  Yaser Khan ,  Edward Page Foyle ,  Bo Li

IPC: G10L15/30 ,  G10L15/22 ,  G10L15/08 ,  G10L13/033

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input from a device. The NLP system may also receive one or more signals representing one or more assistants to be implemented with respect to the natural language input. The NLP system may intelligently select an assistant to be invoked with respect to the natural language input. Once the assistant is selected, the NLP system may cause content, output to a user, to have characteristics specific to the assistant.