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Computerized intelligent assistant for conferences

專利號
US10867610B2
公開日期
2020-12-15
申請人
Microsoft Technology Licensing, LLC(US WA Redmond)
發(fā)明人
Adi Diamant; Karen Master Ben-Dor; Eyal Krupka; Raz Halaly; Yoni Smolin; Ilya Gurvich; Aviv Hurvitz; Lijuan Qin; Wei Xiong; Shixiong Zhang; Lingfeng Wu; Xiong Xiao; Ido Leichter; Moshe David; Xuedong Huang; Amit Kumar Agarwal
IPC分類
H04N7/14; G10L15/26; H04N7/15; G06K9/00; G10L17/00
技術(shù)領(lǐng)域
conference,transcript,assistant,or,may,in,speech,machine,e.g,remote
地域: WA WA Redmond

摘要

A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

說明書

In some examples, a local participant may not be immediately recognizable due to an insufficiency of data being used to identify the local participant (e.g., if the local participant's face is occluded, it may not be feasible to identify the local participant based on a pre-registered signature comprising a face visual appearance; similarly, if the local participant's companion device is turned off, information associated with the companion device may not be available for use in identification). In some examples, pre-registered participant identity data for a conference participant may not be available or may be incorrect or otherwise insufficient for identifying the conference participant. Accordingly, computerized intelligent assistant 1300 may assign the local participant a guest identity in order to defer identification of the local participant until more data is available. In an example, a first local participant is not immediately identifiable based on a face appearance (e.g., because no pre-registered face appearance data is available for the participant), but upon entering conference environment 100, a second local participant may greet the first local participant by name. Accordingly, computerized intelligent assistant 1300 may recognize the name of the first local participant based on audio data collected at a microphone of computerized intelligent assistant 1300, and identify the first local participant based on the name (e.g., by correlating the name with a name of an invited conference participant).

權(quán)利要求

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