12. A method for analyzing a face-to-face customer-agent communication, which comprises: recording, by one or more processors, a mono recording of a communication between an agent and a customer using a microphone, wherein the mono recording is unseparated and includes agent voice data and customer voice data; separately recording, by one or more processors, the agent voice data in an agent recording using a second microphone; aligning, by one or more processors, the unseparated mono recording and the agent recording so they are time-synched; subtracting, by one or more processors, agent voice data from the unseparated mono recording using the agent recording to provide a separated recording including only customer voice data, wherein the agent voice data is subtracted from the unseparated mono recording based on the alignment, sound frequency analysis, or both; converting at least the customer voice data to text; and determining, by one or more processors, a personality type of the customer by applying one or more computer-implemented linguistic algorithms to the text of the customer voice data.
12. A method for analyzing a face-to-face customer-agent communication, which comprises: recording, by one or more processors, a mono recording of a communication between an agent and a customer using a microphone, wherein the mono recording is unseparated and includes agent voice data and customer voice data; separately recording, by one or more processors, the agent voice data in an agent recording using a second microphone; aligning, by one or more processors, the unseparated mono recording and the agent recording so they are time-synched; subtracting, by one or more processors, agent voice data from the unseparated mono recording using the agent recording to provide a separated recording including only customer voice data, wherein the agent voice data is subtracted from the unseparated mono recording based on the alignment, sound frequency analysis, or both; converting at least the customer voice data to text; and determining, by one or more processors, a personality type of the customer by applying one or more computer-implemented linguistic algorithms to the text of the customer voice data. 17. The method of claim 12 , which further comprises applying a computer-implemented linguistic algorithm to the text of the agent recording.