A method of identifying a correlation between a user and user voice in a multi-user application starting with an unknown set of users, the method comprising the steps of: (a) receiving a plurality of images of objects (A'-D') within a field of view of a video capture component taken over a plurality of time periods; (b) determining whether the images received in said step (a) include one or more users; (c) receiving audio within the range of a microphone array for a plurality of time periods; (d) determining whether the audio received in said step (c) includes one or more human voices; and (e) correlating a voice identified in said step (d) to a user of the one or more users (A-D) within the field of view based on a plurality of samplings of determined positions of the user in different images and determined source locations of the voice at different times, characterized in that said step (e) comprises the step of performing a first sampling of the plurality of samplings to derive a scored confidence level of an association between the voice and a user, the scored confidence level obtained by examining one or more of the following factors: i. how close the estimated position of the voice source is to the one or more users; ii. the number of voices which are being heard; iii. the closeness of the one or more users to an estimated source of the voice; iv. whether the source of the voice is estimated to be centered within a field of view of the image or closer to edges of the field of view. (a) receiving a plurality of images of objects (A'-D') within a field of view of a video capture component taken over a plurality of time periods; (b) determining whether the images received in said step (a) include one or more users; (c) receiving audio within the range of a microphone array for a plurality of time periods; (d) determining whether the audio received in said step (c) includes one or more human voices; and (e) correlating a voice identified in said step (d) to a user of the one or more users (A-D) within the field of view based on a plurality of samplings of determined positions of the user in different images and determined source locations of the voice at different times, characterized in that said step (e) comprises the step of performing a first sampling of the plurality of samplings to derive a scored confidence level of an association between the voice and a user, the scored confidence level obtained by examining one or more of the following factors: i. how close the estimated position of the voice source is to the one or more users; ii. the number of voices which are being heard; iii. the closeness of the one or more users to an estimated source of the voice; iv. whether the source of the voice is estimated to be centered within a field of view of the image or closer to edges of the field of view. i. how close the estimated position of the voice source is to the one or more users; ii. the number of voices which are being heard; iii. the closeness of the one or more users to an estimated source of the voice; iv. whether the source of the voice is estimated to be centered within a field of view of the image or closer to edges of the field of view.