14. The conversational speech analysis method of claim 8 , wherein each of the first sensor and the second sensor comprises at least one of: a load cell, configured to detect the movement of a person by the pressure force on a floor; a chair weight sensor, configured to detect a bodyweight fluctuation; an acceleration sensor, configured to be installed on clothes, spectacles or a name card, and configured to detect the movement of a person; and a an acceleration sensor, configured to be installed on a bracelet, ring or pen, and configured to detect the movement of at least one of a hand and an arm.
8. A conversational speech analysis method in a conversational speech analyzing system having a first microphone, a second microphone, a first sensor, a second sensor, and a computer connected to the first microphone, the second microphone, the first sensor, and the second sensor, the method comprising: a first step, including using the first microphone and the second microphone to capture speech data in a vicinity of a meeting, and storing the speech data in the memory of the computer; a second step, including using the first sensor to capture first sensor information in the vicinity of the meeting, and using the second sensor to capture second sensor information in the vicinity of the meeting, and to store the first and second sensor information in the memory of a computer; and a third step, including using the computer to classify the speech data captured from the first microphone as first speech frames when speech is detected, and to classify the speech data captured from the first microphone as first nonspeech frames when speech is not detected; a fourth step, including using the computer to divide the first sensor information based on the first speech frames and the first nonspeech frames, and to divide the second sensor information also based on the first speech frames and the first nonspeech frames; and a fifth step, including using the computer to evaluate an interest level of a person in the meeting by comparing characteristics of the second sensor information divided based on the first speech frames to characteristics of the second sensor information divided based on the first nonspeech frames.