An electronic apparatus comprising: a memory storing a speech recognition model and first recognition information corresponding to a first user voice obtained through the speech recognition model, the speech recognition model including a first network, a second network, and a third network; and a processor configured to: obtain a first vector by inputting second voice data corresponding to a second user voice to the first network, obtain a second vector by inputting the first recognition information to the second network of the speech recognition model which generates the second vector based on first weight information, and obtain second recognition information corresponding to the second user voice by inputting the first vector and the second vector to the third network which generates the second recognition information based on second weight information, wherein at least a part of the second weight information is the same as the first weight information, wherein the first weight information includes at least one first weight corresponding to a preset number of subwords, wherein the second weight information includes the at least one first weight and at least one additional weight, wherein the at least one first weight is stored in a first area of the memory, and the at least one additional weight is stored in a second area of the memory, and wherein the processor is further configured to use the at least one first weight stored in the first area and the at least one additional weight stored in the second area as the second weight information, wherein the electronic apparatus is characterized in that: the at least one additional weight is a weight used when no subword of the preset number of subwords corresponds to the second user voice, and wherein a dimension of the at least one first weight corresponds to a dimension of the at least one additional weight. a memory storing a speech recognition model and first recognition information corresponding to a first user voice obtained through the speech recognition model, the speech recognition model including a first network, a second network, and a third network; and a processor configured to: obtain a first vector by inputting second voice data corresponding to a second user voice to the first network, obtain a second vector by inputting the first recognition information to the second network of the speech recognition model which generates the second vector based on first weight information, and obtain second recognition information corresponding to the second user voice by inputting the first vector and the second vector to the third network which generates the second recognition information based on second weight information, wherein at least a part of the second weight information is the same as the first weight information, wherein the first weight information includes at least one first weight corresponding to a preset number of subwords, wherein the second weight information includes the at least one first weight and at least one additional weight, wherein the at least one first weight is stored in a first area of the memory, and the at least one additional weight is stored in a second area of the memory, and wherein the processor is further configured to use the at least one first weight stored in the first area and the at least one additional weight stored in the second area as the second weight information, wherein the electronic apparatus is characterized in that: the at least one additional weight is a weight used when no subword of the preset number of subwords corresponds to the second user voice, and wherein a dimension of the at least one first weight corresponds to a dimension of the at least one additional weight. obtain a first vector by inputting second voice data corresponding to a second user voice to the first network, obtain a second vector by inputting the first recognition information to the second network of the speech recognition model which generates the second vector based on first weight information, and obtain second recognition information corresponding to the second user voice by inputting the first vector and the second vector to the third network which generates the second recognition information based on second weight information, wherein at least a part of the second weight information is the same as the first weight information, wherein the first weight information includes at least one first weight corresponding to a preset number of subwords, wherein the second weight information includes the at least one first weight and at least one additional weight, wherein the at least one first weight is stored in a first area of the memory, and the at least one additional weight is stored in a second area of the memory, and wherein the processor is further configured to use the at least one first weight stored in the first area and the at least one additional weight stored in the second area as the second weight information, wherein the electronic apparatus is characterized in that: the at least one additional weight is a weight used when no subword of the preset number of subwords corresponds to the second user voice, and wherein a dimension of the at least one first weight corresponds to a dimension of the at least one additional weight. the at least one additional weight is a weight used when no subword of the preset number of subwords corresponds to the second user voice, and wherein a dimension of the at least one first weight corresponds to a dimension of the at least one additional weight.