| CPC G06F 40/166 (2020.01) [G10L 15/063 (2013.01); G10L 15/22 (2013.01); G10L 15/26 (2013.01); G10L 15/30 (2013.01)] | 4 Claims |
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1. A data generation device comprising one or more processors that execute computer-executable instructions stored in a memory,
wherein the one or more processors execute the computer-executable instructions to cause the data generation device to:
acquire voice data of speech;
temporarily storing the voice data in a temporary storage unit;
generate text data by performing voice recognition on the voice data stored in the temporary storage unit;
extract, as an extracted word, a word that satisfies a predetermined condition, from among a plurality of words included in the text data; and
generate summary data indicating a summary of content of the voice data, by using the extracted word and a word that is within a predetermined range from the extracted word, from among the plurality of words included in the text data;
after the summary data is generated, causing the voice data temporarily stored in the temporary storage unit to be stored in a storage unit as output data, and
presenting the summary data to a user as the output data,
wherein the one or more processors cause the data generation device to:
select, as an important word, at least one word that is within a first range from a predetermined designated word, from among the plurality of words included in the text data;
add a predetermined weight to each of the important word and at least one word that is within a second range from the important word, among the plurality of words included in the text data; and
determine the extracted word to be extracted, based on the weight added to each of the important word and the at least one word that is within the second range from the important word, and
wherein the one or more processors cause the data generation device to:
select, as a new important word, the at least one word that is within the second range from the important word, from among the plurality of words included in the text data; and
add the weight to at least one word that is within the second range from the new important word, among the plurality of words included in the text data.
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