Abstract: A computer-implemented method for enhancing intelligibility of a participant in a meeting, that includes identifying, using at least a detection mechanism, when speech intelligibility and/or audio intelligibility of the participant of a plurality of participants in the meeting is impacted by one or more environmental conditions; upon evaluating, using at least a simulated human auditory model, noise types of speech of the participant in the meeting based at least partially on the speech intelligibility and/or the audio intelligibility of the participant, creating a local transcription of the speech by the participant in the meeting; and mapping, using at least a digital voice model, the local transcription onto a voice simulation of the participant to replicate vocal characteristics of the speech by the participant during the meeting.

Abstract: Systems and methods for filtering voice information based on context and/or language are provided. A method can include identifying speaker voice streams and forming individual voice streams with associated identifiers, converting audio information of the individual voice streams to text information with associated identifier information, determining a context of at least portions of the text information, and filtering the voice streams based on the context and/or language within segments of the voice streams.