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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

Although not depicted in FIG. 20, participant feedback may further include advice based on analysis of sentiment and/or non-verbal cues recognized by computerized intelligent assistant 1300. For example, if Anna frequently interrupted Beatrice, such advice may direct Anna to be careful about interrupting others, along with an indication of times in the transcript where Anna interrupted Beatrice. Accordingly, Anna may be able to review the transcript to become more cognizant about when she may be interrupting others. Participant feedback may further include exemplary interactions where an utterance provoked a specific reaction, e.g., if Carol said something that caused Dan to express negative sentiment, participant feedback given to Carol may indicate what she said to cause Dan to express the negative sentiment. Similarly, feedback may indicate exemplary interactions that led to various other sentiments, as well as non-verbal cues like raised voices, interruptions, pauses/silences, and conference participants departing the conference. In some examples, such exemplary interactions may be useable by computerized intelligent assistant 1300 to identify causes of conflict during the conference, and/or to identify portions of the conference that went particularly well.

Participant feedback may also include feedback regarding the timing and/or logistics of the conference. For example, such feedback could include calling attention to whether the conference started and/or ended on schedule, along with an indication of which conference participants showed up early, showed up late, and/or left early.

權(quán)利要求

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