Abstract: One example method includes receiving, by a virtual conference provider, a list of words associated with an entity or a context; establishing, by the virtual conference provider, a virtual conference; joining, by the virtual conference provider, a plurality of participants to the virtual conference; determining, by the virtual conference provider, that the entity or the context is associated with the virtual conference; and generating, using a machine learning (“ML”) model, a transcript of the virtual conference based on audio streams exchanged between the plurality of participants and the list of words.

Abstract: In some aspects, a computing device may access audio information comprising an audio stream from a client device. The computing device may provide an audio segment from the audio stream to a language identification process of the computing device comprising a machine learning model that is trained to identify a language of a plurality of languages within recorded speech. The computing device may identify an identified-language of the plurality of languages for the speech based at least in part on the audio segment. The computing device may provide the identified-language to the client device. Numerous other aspects are described.

Abstract: An example method includes hosting, by a conference provider, a virtual conference between a plurality of client devices exchanging audio streams; receiving, during the virtual conference, a first plurality of audio segments of a first audio stream from a first client device of the plurality of client devices; receiving, during the virtual conference, a second plurality of audio segments of a second audio stream from a second client device of the plurality of client devices; transcribing, by a transcription process, the first plurality of audio segments to create a first transcription; transcribing, by the transcription process, the second plurality of audio segments to create a second transcription; providing, during the virtual conference, the first transcription and the second transcription to the first and second client devices.

Abstract: In some aspects, a computing device may access audio information comprising an audio stream from a client device, and a source-language. The computing device may provide an audio segment from the audio stream to a language identification process of the computing device comprising a machine learning model that is trained to identify a language of a plurality of languages within recorded speech. The computing device may identify an identified-language of the plurality of languages for the speech based at least in part on the audio segment. The computing device may update the source-language to the identified language. Numerous other aspects are described.