CONTEXT-AWAREREAL-TIME MEETING AUDIO TRANSCRIPTION BACKGROUND [0001] Groups of individuals commonly meet using various types of audio and audiovisual (“A/V”) meeting technologies. In meetings such as these, each meeting attendee utilizes a computing device that is configured with a meeting client application and appropriate hardware for generating audio and/or video of the attendee. During meetings, the audio and/or video generated by each attendee computing device is shared with the computing devices of the other attendees. In this way, each of the attendees can hear and/or see the other attendees in the meeting. [0002] While meetings such as those described above can be very useful for many types of users, some meeting technologies make these kinds of meetings less beneficial for other types of meeting attendees. For example, persons with hearing impairments might have difficulty participating in such a meeting or might not be able to participate at all. Attendees in a meeting that do not speak the same language as other attendees might also not be able to communicate effectively or at all using current meeting technologies. [0003] Technologies exist for transcribing audio; however, these technologies suffer from a number of technical limitations. For example, many transcription solutions only perform offline transcription of audio and are, therefore, of no use to meeting attendees during a meeting. Moreover, the quality of the transcriptions generated by current technologies can be poor. This can occur, for example, if meeting attendees utilize jargon, acronyms, or other types of domain-specific terminology. This can also occur when attendees in a meeting speak different languages. [0004] Poor quality transcriptions can also cause inefficient use of computing resources, such as memory, processing cycles, storage, and power. For example, a poor quality transcription might need to be re-transcribed or edited to correct errors. This process will unnecessarily consume computing resources such as those identified above. [0005] It is with respect to these and other technical challenges that the disclosure made herein is presented. [0006] Technologies are disclosed for context-aware real-time meeting audio transcription. Through implementations of the disclosed technologies, high quality transcriptions of the audio generated by attendees in a meeting can be performed in real time during the meeting and displayed to meeting attendees. The quality of the transcription can SUMMARY