A voice conversation reconstruction method performed by a voice conversation reconstruction apparatus, the method comprising: a0) receiving, by an input unit (110, 110a), voice conversation of voice conversation per speaker, the input unit including a number of microphones that correspond to the number of speakers in a one-to-one manner such that the input unit individually receives voice data about the voice conversation per speaker; a) acquiring a plurality of speaker-specific voice recognition data corresponding to a plurality of speakers in the voice conversation; b) dividing, by a block generator, each of the plurality of the speaker-specific voice recognition data into a plurality of blocks using a boundary between tokens depending upon a predefined division criterion; c) arranging, by a block arranger, the plurality of blocks of each of the plurality of the speaker-specific voice recognition data in chronological order irrespective of a speaker; d) merging, by a block merger, blocks from continuous utterance of a same speaker among the arranged plurality of blocks; and e) reconstructing, by a conversation reconstructor, the plurality of blocks subjected to the merging in a conversation format in chronological order and based on a speaker, f) wherein acquiring the speaker-specific voice recognition data includes: f1) acquiring a first speaker-specific recognition result generated on an End Point Detection, EPD, basis from the voice conversation and a second speaker-specific recognition result generated every preset time from the voice conversation; and f2) collecting the first speaker-specific recognition result and the second speaker-specific recognition result without overlap and redundance therebetween to generate the speaker-specific voice recognition data, g) wherein the second speaker-specific recognition result is generated after a last EPD at which the first speaker-specific recognition result is generated occurs, h) wherein the chronological order is determined by using a start time of each of the plurality of blocks of each of the plurality of the speaker-specific voice recognition data, and i) wherein in step e), the conversation reconstructor provides the voice recognition data reflecting the first speaker-specific recognition result to an output unit. a0) receiving, by an input unit (110, 110a), voice conversation of voice conversation per speaker, the input unit including a number of microphones that correspond to the number of speakers in a one-to-one manner such that the input unit individually receives voice data about the voice conversation per speaker; a) acquiring a plurality of speaker-specific voice recognition data corresponding to a plurality of speakers in the voice conversation; b) dividing, by a block generator, each of the plurality of the speaker-specific voice recognition data into a plurality of blocks using a boundary between tokens depending upon a predefined division criterion; c) arranging, by a block arranger, the plurality of blocks of each of the plurality of the speaker-specific voice recognition data in chronological order irrespective of a speaker; d) merging, by a block merger, blocks from continuous utterance of a same speaker among the arranged plurality of blocks; and e) reconstructing, by a conversation reconstructor, the plurality of blocks subjected to the merging in a conversation format in chronological order and based on a speaker, f) wherein acquiring the speaker-specific voice recognition data includes: f1) acquiring a first speaker-specific recognition result generated on an End Point Detection, EPD, basis from the voice conversation and a second speaker-specific recognition result generated every preset time from the voice conversation; and f2) collecting the first speaker-specific recognition result and the second speaker-specific recognition result without overlap and redundance therebetween to generate the speaker-specific voice recognition data, f1) acquiring a first speaker-specific recognition result generated on an End Point Detection, EPD, basis from the voice conversation and a second speaker-specific recognition result generated every preset time from the voice conversation; and f2) collecting the first speaker-specific recognition result and the second speaker-specific recognition result without overlap and redundance therebetween to generate the speaker-specific voice recognition data, g) wherein the second speaker-specific recognition result is generated after a last EPD at which the first speaker-specific recognition result is generated occurs, h) wherein the chronological order is determined by using a start time of each of the plurality of blocks of each of the plurality of the speaker-specific voice recognition data, and i) wherein in step e), the conversation reconstructor provides the voice recognition data reflecting the first speaker-specific recognition result to an output unit.