Microsoft Technology Licensing, LLC

Lingfeng Wu

Wei Xiong

Xuedong D Huang

Eyal Krupka

Amit Kumar Agarwal

Adi Diamant

Lijuan Qin

Xiong Xiao

Shixiong Zhang

Karen Master Ben-Dor

Ido Leichter

Raz Halaly

Yoni Smolin

Aviv Hurvitz

Moshe David

Ilya Gurvich

Jun Zhang

Nanshan Zeng

Xiao Wu

Weibin Zhu

Vu Anh Ha

Wenjun Dai

Xiaolei Li

Shayin Jing

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.

Computerized intelligent assistant for conferences

Attributes of electronic content from a meeting are identified and evaluated to determine whether sub-portions of the electronic content should or should not be attributed to a user profile. Upon determining that the sub-portion should be attributed to a user profile, attributes of the sub-portion of electronic content are compared to attributes of stored user profiles. A probability that the sub-portion corresponds to at least one stored user profile is calculated. Based on the calculated probability, the sub-portion is attributed to a stored user profile or a guest user profile.

Automated meeting minutes generation service

Systems and methods for assigning a product category and/or classification to user data based on a taxonomy of makes and models is provided. User data is received and converted to plain text. A taxonomy is provided, having a plurality of categories corresponding with product descriptions based on product makes and models. Rules are associated with the categories in the taxonomy and used to generate a category score for categories in the taxonomy. The category scores are used to assign at least one category from the taxonomy to the user data. A product class may also be assigned to the user data based on the assigned product category.

Make and model classifier

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Bothell, WA, United States of America

Lingfeng Wu