公开(公告)号：US20220165272A1

公开(公告)日：2022-05-26

申请号：US17667535

申请日：2022-02-08

Applicant: SoundHound, Inc.

Inventor： Kamyar MOHAJER ,  Robert MACRAE

IPC: G10L15/22 ,  G06F16/2457 ,  G10L17/00 ,  G10L15/18 ,  G10L15/30 ,  G06F16/242 ,  G06F16/22

Abstract: A computer-implemented method is provided to support a food ordering system for food items from a menu of a restaurant using natural language. Expressions made for ordering are used to recommend a food item that a user has a high probability of wanting to include in an order. The recommendation engine is trained using machine learning. Expressions are collected and parsed to identify words that might indicate food items offered by the restaurant. The words are provided to a restaurant owner to identify food items on a menu, with which the words are associated.

公开(公告)号：US20190035385A1

公开(公告)日：2019-01-31

申请号：US16147889

申请日：2018-10-01

Applicant: SoundHound, Inc.

Inventor： Stephanie LAWSON ,  Kamyar MOHAJER ,  Glenda MOSLEY ,  Rainer LEEB

IPC: G10L15/01 ,  G10L15/06

Abstract: A system, method, and non-transitory computer readable medium provide for a visual display of a user interface for a voice-based virtual assistant system. After displaying a transcription of user speech and performing requested actions, the system allows the user to provide, by speech or manual input, an indication of satisfaction or dissatisfaction. For transcription errors, the user is presented an opportunity to correct the transcription text. The system can present several transcription hypotheses to the user, and allow the user to choose among them, or to edit one of them, as the intended transcription. A back-end server system uses the corrected transcription to train a machine learning model to perform more accurate speech recognition or provide more useful actions for future users. A system can save one or more speech recognition transcription hypotheses and check corrected results against the other transcriptions to further improve models.

公开(公告)号：US20230059765A1

公开(公告)日：2023-02-23

申请号：US17408476

申请日：2021-08-22

Applicant: SoundHound, Inc.

Inventor： Kamyar MOHAJER ,  Keyvan MOHAJER ,  James HOM ,  Evelyn JIANG

IPC: G06Q30/06 ,  G10L15/22 ,  G10L13/02 ,  G06F3/16 ,  G06F16/955 ,  G06F9/451

Abstract: A method and system for controlling a GUI on a user's network-connected device, the control being provided by a telephone call between the user and a speech recognition and speech synthesis system. An example of a restaurant ordering system is provided. The user calls a phone number and is guided through a verbal ordering process that includes one or more of: adding an item, deleting an item, changing quantities, changing sizes, and changing details of an item. The user's choices are added to a display so that a current status of the order is visible to the user. The GUI is updated as changes are made to the order. The GUI can also request additional information, upsell items, and show menus. The GUI aids the user in confirming that the order is correct. The system provides the final order to a restaurant for fulfillment.

公开(公告)号：US20190035386A1

公开(公告)日：2019-01-31

申请号：US16147892

申请日：2018-10-01

Applicant: SoundHound, Inc.

Inventor： Rainer LEEB ,  Stephanie LAWSON ,  Kamyar MOHAJER ,  Glenda MOSLEY

IPC: G10L15/01 ,  G10L15/06

Abstract: A speech and natural language-based virtual assistant parses user utterances and analyzes them in the context of recent prior actions to detect sentiment and indicators of satisfaction or dissatisfaction. Indicators are stored in a database in association with the prior command and resulting action. Databases can include timestamps, clarifications made by users, and a knowledge graph of facts. Machine learning, applied to the database, train models to deliver improved results in future user engagements.