Otter.ai, Inc.

Google Inc.

Alohar Mobile Inc.

Tropos Networks, Inc.

Sam Song Liang

Yun Fu

Simon Lau

Kaisuke Nakajima

Julius Cheng

Tao Xing

Kean Kheong Chin

Brian Francis Williams

Hitesh Anand Gupta

James Mason Altreuter

Xiaoke Huang

Michael Chu

Zhengrong Ji

Yan Yu

Yuhua Luo

Jun Yang

Chenyu Wang

Wen Sun

Gelei Chen

Zhenhao Ge

James Francis McAteer

Fuchun Peng

Zhigang Liu

Marius C Milner

Amro A Younes

Robert Firebaugh

Cheng Yuan

Tao Lu

Jing Pan

Winfred James

Marlene Wan

Winfred James Jebasingh

Qingyun Mao

Richard Norman Michael Ward

Shreyas Aiyar

Gregory Kennedy Sell

Jason Chalecki

Frazer Hainsworth Kirkman

Siddharth Pradeep Sakhadeo

Angus Ka-man Ng

David Smiddy

Jiankai Xiao

Huan Chang

Amanda Song

Ying Chang

Jianming Zhou

Alvin Lau

Methods and systems for team cooperation with real-time recording of one or more moment-associating elements. For example, a method includes: delivering, in response to an instruction, an invitation to each member of one or more members associated with a workspace; granting, in response to acceptance of the invitation by one or more subscribers of the one or more members, subscription permission to the one or more subscribers; receiving the one or more moment-associating elements; transforming the one or more moment-associating elements into one or more pieces of moment-associating information; and transmitting at least one piece of the one or more pieces of moment-associating information to the one or more subscribers.

Systems and methods for team cooperation with real-time recording and transcription of conversations and/or speeches

System and method for processing and presenting a conversation. For example, a system includes a sensor configured to capture an audio-form conversation, and a processor configured to automatically transform the audio-form conversation into a transformed conversation. The transformed conversation includes a synchronized text, and the synchronized text is synchronized with the audio-form conversation. Additionally, the system includes a presenter configured to present the transformed conversation including the synchronized text and the audio-form conversation.

Systems and methods for processing and presenting conversations

Method, system, device, and non-transitory computer-readable medium for joining a virtual participant in a conversation. In some examples, a computer-implemented method includes: identifying a first conversation scheduled to be participated by a first group of actual participants; joining a first virtual participant into the first conversation; obtaining, via the first virtual participant, a first set of audio data associated with the first conversation while the first conversation occurs; transcribing, via the first virtual participant, the first set of audio data into a first set of text data while the first conversation occurs; and presenting the first set of text data to the first group of actual participants while the first conversation occurs.

Systems and methods for automatic joining as a virtual meeting participant for transcription

Computer-implemented method and system for processing and broadcasting one or more moment-associating elements. For example, the computer-implemented method includes granting subscription permission to one or more subscribers; receiving the one or more moment-associating elements; transforming the one or more moment-associating elements into one or more pieces of moment-associating information; and transmitting at least one piece of the one or more pieces of moment-associating information to the one or more subscribers. In certain examples, transforming the one or more moment-associating elements includes: segmenting the one or more moment-associating elements into a plurality of moment-associating segments; assigning a segment speaker for each segment of the plurality of moment-associating segments; transcribing the plurality of moment-associating segments into a plurality of transcribed segments; and generating the one or more pieces of moment-associating information based the plurality of transcribed segments and the segment speaker assigned for each segment of the plurality of moment-associating segments.

Systems and methods for live broadcasting of context-aware transcription and/or other elements related to conversations and/or speeches

Computer-implemented method and system for receiving and processing one or more moment-associating elements. For example, the computer-implemented method includes receiving the one or more moment-associating elements, transforming the one or more moment-associating elements into one or more pieces of moment-associating information, and transmitting at least one piece of the one or more pieces of moment-associating information. The transforming the one or more moment-associating elements into one or more pieces of moment-associating information includes segmenting the one or more moment-associating elements into a plurality of moment-associating segments, assigning a segment speaker for each segment of the plurality of moment-associating segments, transcribing the plurality of moment-associating segments into a plurality of transcribed segments, and generating the one or more pieces of moment-associating information based on at least the plurality of transcribed segments and the segment speaker assigned for each segment of the plurality of moment-associating segments.

Systems and methods for capturing, processing, and rendering one or more context-aware moment-associating elements

Method, system, device, and non-transitory computer-readable medium for presenting a conversation. A computer-implemented method may include: obtaining, via a first virtual participant, a first set of audio data associated with the first conversation while the first conversation occurs; transcribing the first set of audio data into a first set of text data while the first conversation occurs; obtaining a set of annotations associated with the set of text data while the first conversation occurs; identifying one or more topic transitions based at least in part upon the set of text data; generating a conversation summary based at least in part upon the one or more topic transitions; obtaining a first set of visual data associated with the conversation; and presenting the set of annotations, the conversation summary, and the first set of visual data embedded in the first set of text data to the first group of actual participants.

Systems and methods for automatically generating conversation outlines and annotation summaries

A system for processing and presenting a conversation includes a sensor, a processor, and a presenter. The sensor is configured to capture an audio-form conversation. The processor is configured to automatically transform the audio-form conversation into a transformed conversation. The transformed conversation includes a synchronized text, wherein the synchronized text is synchronized with the audio-form conversation. The presenter is configured to present the transformed conversation including the synchronized text and the audio-form conversation. The presenter is further configured to present the transformed conversation to be navigable, searchable, assignable, editable, and shareable.

The present disclosure relates to a system and method for determining advertising conversion metrics. In some implementations, a method includes receiving spatial information associated with a user in connection with an advertisement presented through a wireless device. The advertisement is associated with an offlinestore having a geographic location. A likelihood of conversion is determined based, at least in part, on the spatial information and the geographic location of the offline store

Determining advertising conversion

Systems and methods according to aspects of the invention verify requests for information over a network. Computing devices communicating over a network transmit numerous signals with various types of information including spatial information, temporal information, device-specific information, and transmission specific information. This information may be used to generate statistical records of valid request for information. Various combinations of these signals may be used to determine whether a request for information is a valid request based on the statistical records associated with the signals. Where a request for information has been verified, the system and method may provide the information. Where the request for information has not been verified, the system and method may deny the request for information. Thus the system and method may be used to prevent and block scraping and spamming attacks.

System and method of using spatial and temporal signals to identify and prevent attacks

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Palo Alto, CA, United States of America

Sam Song Liang