Microsoft Technology Licensing, LLC

Andrii Matukhno

Amit Kumar Agarwal

Shalendra Chhabra

Zoltan Romocsa

Rishi Girish

Michael J Shelton

Tomas Bergl

Mykola Denysiuk

Halley Weitzman

Mikhail Raer

Skyler Michael Anderson

A context-aware transcription system includes a language model preparation service that retrieves meeting-specific data prior to or during a meeting. The language model preparation service utilizes the meeting-specific data to generate a meeting-specific statistical language model. A speech transcription service can utilize the meeting-specific statistical language model to generate a transcription of audio generated by attendees of a meeting. The system can transmit the transcription to computing devices associated with meeting attendees during the meeting for presentation in a user interface in real time. The language model preparation service can generate the meeting-specific statistical language model in response to receiving a pre-meeting signal. The pre-meeting signal can be generated a predetermined time prior to meetings according to a schedule. The pre-meeting signal might also, or alternately, be generated in response to the receipt of meeting change event notifications before or during meetings that describe changes to the meetings.

Context-aware real-time meeting audio transcription

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Prague, Czechia

Andrii Matukhno