Auto-translation for multi user audio and video

    公开(公告)号:US10372831B2

    公开(公告)日:2019-08-06

    申请号:US15664706

    申请日:2017-07-31

    Applicant: Google LLC

    Abstract: The disclosed subject matter provides a system, computer readable storage medium, and a method providing an audio and textual transcript of a communication. A conferencing services may receive audio or audio visual signals from a plurality of different devices that receive voice communications from participants in a communication, such as a chat or teleconference. The audio signals representing voice (speech) communications input into respective different devices by the participants. A translation services server may receive over a separate communication channel the audio signals for translation into a second language. As managed by the translation services server, the audio signals may be converted into textual data. The textual data may be translated into text of different languages based the language preferences of the end user devices in the teleconference. The translated text may be further translated into audio signals.

    Methods and systems for classifying data using a hierarchical taxonomy

    公开(公告)号:US09946783B1

    公开(公告)日:2018-04-17

    申请号:US15153097

    申请日:2016-05-12

    Applicant: Google LLC

    Abstract: A method and system for classifying documents is provided. A set of document classifiers is generated by applying a classification algorithm to a trusted corpus that includes a set of training documents representing a taxonomy. One or more of the generated document classifiers are executed against a plurality of input documents to create a plurality of classified documents. Each classified document is associated with a classification within the taxonomy and a classification confidence level. One or more classified documents that are associated with a classification confidence level below a predetermined threshold value are selected to create a set of low-confidence documents. The low-confidence documents are disassociated from each of the associated classifications. A user is prompted to enter a classification within the taxonomy for at least one low-confidence document. The low-confidence document is associated with the entered classification and with a predetermined confidence level to create a newly classified document.

    AUTO-TRANSLATION FOR MULTI USER AUDIO AND VIDEO

    公开(公告)号:US20190332679A1

    公开(公告)日:2019-10-31

    申请号:US16506108

    申请日:2019-07-09

    Applicant: Google LLC

    Abstract: The disclosed subject matter provides a system, computer readable storage medium, and a method providing an audio and textual transcript of a communication. A conferencing services may receive audio or audio visual signals from a plurality of different devices that receive voice communications from participants in a communication, such as a chat or teleconference. The audio signals representing voice (speech) communications input into respective different devices by the participants. A translation services server may receive over a separate communication channel the audio signals for translation into a second language. As managed by the translation services server, the audio signals may be converted into textual data. The textual data may be translated into text of different languages based the language preferences of the end user devices in the teleconference. The translated text may be further translated into audio signals.

    Customer support solution recommendation system

    公开(公告)号:US10445351B2

    公开(公告)日:2019-10-15

    申请号:US15693123

    申请日:2017-08-31

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium and a method for automatically providing support solutions in response to user feedback items. The method comprises receiving user feedback items and corresponding support solutions. The method further comprises identifying, using clustering techniques, associations between the user feedback items and the corresponding support solutions. The method further comprises storing the identified associations as an items-solutions model that correlates the user feedback items with the corresponding support solutions. The method further comprises receiving a new user feedback item. The method further comprises automatically determining, using the items-solutions model, at least one support solution that corresponds to the new user feedback item. The method further comprises providing the at least one support solution in response to the received new user feedback item.

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