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A characteristic vector, that has been converted in an analysis section (1), of a voice data for collation of input is stored in a storage section (3) for the characteristic vector, a selection section (4) for inhibition speaker selects at least one inhibition speaker by calculating similarity degree of the characteristic vector converted in the analysis section to the standard patterns of respective speakers stored in a storage section (2), in which at least one standard pattern of candidates of inhibition speakers has been stored, of the standard pattern of candidates of inhibition speakers. An adaptation section (5) adapts the standard patterns of inhibition speakers by acquiring a mapping function from a characteristic vector space of a voice of a inhibition speaker to a characteristic vector space of an inputted voice by using the standard pattern of inhibition speakers selected in the selection section to select a inhibition speaker and the characteristic vector stored in the storage section for the characteristic vector and by using the mapping function known. A calculation section (6) of a similarity degree of inhibition speakers calculates the similarity degree between a characteristic vector stored in the storage section of characteristic vector and the standard pattern of inhibition speakers adapted in the adaptation section. A calculation section (8) of a similarity degree to the identical person calculates a storage section (7) of the standard pattern of the identical person, in which the registered standard pattern of the identical person has been stored, and the similarity degree of the characteristic vector stored in the storage section for the characteristic vector to the standard pattern of the identical person stored in the storage section of the standard pattern of the identical person. A normalization section (9) of the similarity degree normalizes the similarity degree by using the similarity degree calculated in the calculation section of a similarity degree to the identical person and the similarity degree calculated in said calculation section of a similarity degree of inhibition speakers. A decision section (11) decides the person by using the similarity degree normalized in the normalization section of the similarity degree and the threshold value stored in a storage section (10), in which a threshold value previously determined has been stored, for storing a threshold value. [image]
A characteristic vector, that has been converted in an analysis section (1), of a voice data for collation of input is stored in a storage section (3) for the characteristic vector, a selection section (4) for inhibition speaker selects at least one inhibition speaker by calculating similarity degree of the characteristic vector converted in the analysis section to the standard patterns of respective speakers stored in a storage section (2), in which at least one standard pattern of candidates of inhibition speakers has been stored, of the standard pattern of candidates of inhibition speakers. An adaptation section (5) adapts the standard patterns of inhibition speakers by acquiring a mapping function from a characteristic vector space of a voice of a inhibition speaker to a characteristic vector space of an inputted voice by using the standard pattern of inhibition speakers selected in the selection section to select a inhibition speaker and the characteristic vector stored in the storage section for the characteristic vector and by using the mapping function known. A calculation section (6) of a similarity degree of inhibition speakers calculates the similarity degree between a characteristic vector stored in the storage section of characteristic vector and the standard pattern of inhibition speakers adapted in the adaptation section. A calculation section (8) of a similarity degree to the identical person calculates a storage section (7) of the standard pattern of the identical person, in which the registered standard pattern of the identical person has been stored, and the similarity degree of the characteristic vector stored in the storage section for the characteristic vector to the standard pattern of the identical person stored in the storage section of the standard pattern of the identical person. A normalization section (9) of the similarity degree normalizes the similarity degree by using the similarity degree calculated in the calculation section of a similarity degree to the identical person and the similarity degree calculated in said calculation section of a similarity degree of inhibition speakers. A decision section (11) decides the person by using the similarity degree normalized in the normalization section of the similarity degree and the threshold value stored in a storage section (10), in which a threshold value previously determined has been stored, for storing a threshold value. [image]
en
European Patent Office
EP0964388
EP 0964388
G10L 3/00
Speaker collation apparatus, method and storage medium thereof
Speaker collation apparatus, method and storage medium thereof - European Patent Office - EP 0964388 A2
Speaker collation apparatus, method and storage medium thereof - European Patent Office - EP 0964388 A2
EUROPEAN PATENT APPLICATION
Adobe PDF Library 8.0
"EP0964388"; "EP 0964388"; "G10L 3/00"; "Speaker collation apparatus, method and storage medium thereof"
1.4
1
B
18
EP
0964388
A2
1999-12-15
99109709.8
1999-05-17
JP
13278898
1998-05-15
G10L 3/00 A
NEC CORPORATION
Yamada, Eiko,
c/o NEC Corporation
Hattori, Hiroaki,
c/o NEC Corporation
von Samson-Himmelstjerna, Friedrich R., Dipl.-Phys. et al
Speaker collation apparatus, method and storage medium thereof
Vorrichtung, Verfahren und Speichermedium zur Sprechererkennung
Speaker collation apparatus, method and storage medium thereof
Dispositif, procédé, et support d'enregistrement de reconnaissance de locuteur
A characteristic vector, that has been converted in an analysis section (1), of a voice data for collation of input is stored in a storage section (3) for the characteristic vector, a selection section (4) for inhibition speaker selects at least one inhibition speaker by calculating similarity degree of the characteristic vector converted in the analysis section to the standard patterns of respective speakers stored in a storage section (2), in which at least one standard pattern of candidates of inhibition speakers has been stored, of the standard pattern of candidates of inhibition speakers. An adaptation section (5) adapts the standard patterns of inhibition speakers by acquiring a mapping function from a characteristic vector space of a voice of a inhibition speaker to a characteristic vector space of an inputted voice by using the standard pattern of inhibition speakers selected in the selection section to select a inhibition speaker and the characteristic vector stored in the storage section for the characteristic vector and by using the mapping function known. A calculation section (6) of a similarity degree of inhibition speakers calculates the similarity degree between a characteristic vector stored in the storage section of characteristic vector and the standard pattern of inhibition speakers adapted in the adaptation section. A calculation section (8) of a similarity degree to the identical person calculates a storage section (7) of the standard pattern of the identical person, in which the registered standard pattern of the identical person has been stored, and the similarity degree of the characteristic vector stored in the storage section for the characteristic vector to the standard pattern of the identical person stored in the storage section of the standard pattern of the identical person. A normalization section (9) of the similarity degree normalizes the similarity degree by using the similarity degree calculated in the calculation section of a similarity degree to the identical person and the similarity degree calculated in said calculation section of a similarity degree of inhibition speakers. A decision section (11) decides the person by using the similarity degree normalized in the normalization section of the similarity degree and the threshold value stored in a storage section (10), in which a threshold value previously determined has been stored, for storing a threshold value. [image]
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