Patent Document ID: 10147438
Application ID: 15448246

Base Claim:
1. A computer-implemented method for role modeling, the method comprising: receiving, by a processor, audio data, wherein the audio data comprises a plurality of audio conversations for one or more speakers; partitioning each of the plurality audio conversations in to one or more segments; associating each of the one or more segments with a speaker; labelling roles for the one or more segments for each of the plurality of audio conversations utilizing a speaker recognition engine, wherein the labelling roles comprises clustering speakers based at least in part on a number of times the speakers are present in an audio conversation, word error rates the one or more speakers, and demographics of the one or more speakers; converting each of the one or more segments to text; training a text classifier utilizing the labelled roles; and creating a role classification model based at least in part on the text classifier, wherein the role classification model determines a role for each of the one or more speakers.

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Claim 2:
2. The method of claim 1 further comprising: receiving first audio data comprising a first audio conversation between a first speaker and a second speaker; partitioning the audio into one or more segments and associating each of the one or more segments with one or both of the first speaker and the second speaker; and determining a first role of the first speaker based at least in part on the role classification model.