of the disclosed technologies can generate high quality transcriptions of the audio generated by attendees in a meeting in real time. By generating and presenting high quality transcriptions of meeting audio in real time during meetings, meeting attendees with hearing impairments can participate in meetings more effectively. Additionally, computing resources can be conserved by providing higher-quality real time meeting transcriptions that do not need to be edited. Other technical benefits not specifically mentioned herein can also be realized through implementations of the disclosed subject matter. [0027] While the subject matter described herein is presented in the general context of a network service configured for context-aware real-time audio transcription, those skilled in the art will recognize that other implementations can be performed in combination with other types of computing systems and modules. For example, the disclosed technologies can be utilized for live captioning and translation. Those skilled in the art will also appreciate that the subject matter described herein can be practiced with other computer system configurations, including hand-held devices, multiprocessor systems, microprocessor-based or programmable consumer electronics, computing or processing systems embedded in devices (such as wearable computing devices, automobiles, home automation etc.), minicomputers, mainframe computers, and the like. [0028] In the following detailed description, references are made to the accompanying drawings that form a part hereof, and which are shown by way of illustration specific configurations or examples. Referring now to the drawings, in which like numerals represent like elements throughout the several FIGS., aspects of the configuration and operation of a context-aware transcription system will be described. [0029] FIG. 1 is a computing architecture diagram that shows aspects of the configuration and operation of a context-aware transcription system 102, according to one embodiment disclosed herein. As will be described in greater detail with regard to FIGS. 2-7, the context-aware transcription system 102 can generate high quality transcriptions of audio generated during meetings in real time using meeting-specific statistical language models. [0030] In one particular embodiment, groups of individuals can meet using an associated computing device and appropriate hardware and software. In particular, the attendees 104A and 104B (which might be referred to herein collectively as the “attendees 104”or singularly as an “attendee104) in a meeting can utilize an associated computing device 106A and 106B (which might be referred to herein collectively as the “computing devices 106”or singularly as a “computingdevice 104”),respectively.