IP Library Patent Application 18000250
Patent Application
App. No. 18/000,250

SYSTEM FOR IDENTIFYING A SPEAKER

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Quick Facts
Patent No.
US None
App. No.
18/000,250
Abstract

A method identifies a particular speaker from among a set of speakers via a computer that includes a computer memory in which voice signatures, each associated with one of the speakers in the set, are stored. The method includes acquiring a voice signal produced by the particular speaker, constructing a new voice signature in accordance with the voice signal, comparing the new voice signature with at least one of the voice signatures stored in the computer memory, and identifying the particular speaker in accordance with the result of the comparison. The method also includes, before the constructing, generating a complete signal that includes the voice signal and at least one predetermined extension signal. Accordingly, the constructing also includes, constructing the new voice signature in accordance also with each extension signal.

Claims (36)

1 - 10 . (canceled)

11 . A method for identifying a particular speaker from among a set of speakers, via a computer which comprises a computer memory in which at least one reference voice signature associated with one of the speakers in said set is recorded, the method comprising:

acquiring an identifying voice signal produced by the particular speaker,

constructing an identifying voice signature in accordance with said identifying voice signal,

comparing said identifying voice signature with the at least one reference voice signature recorded in the computer memory, and

identifying the particular speaker in accordance with the result of said comparison,

wherein the at least one reference voice signature recorded in the computer memory was determined in accordance with a recorded voice signal and with a predetermined extension signal,

wherein provision is made, before the constructing, for generating a complete signal which comprises said identifying voice signal and said predetermined extension signal, and

wherein, in the constructing, the identifying voice signature is constructed in accordance also with said extension signal.

12 . The identification method as claimed in claim 11 , wherein the computer memory comprises a plurality of reference voice signatures which are associated, respectively, with a plurality of speakers in said set, the extension signal being associated with one of the speakers and being different from the extension signals associated with the other speakers, said memory storing each extension signal so as to be associated with one of the speakers.

13 . The identification method as claimed in claim 12 , wherein:

in the generating, the computer generates at least as many complete signals as there are speakers in said set, each complete signal comprising said identifying voice signal and one of said extension signals recorded in said memory,

in the constructing, the computer constructs an identifying voice signature for each complete signal,

in the comparing, the computer compares each identifying voice signature with each reference voice signature recorded in the memory in order to deduce a score therefrom, and

in the identifying, the particular speaker is identified taking into account the deduced scores.

14 . The identification method as claimed in claim 11 , wherein the complete signal is constructed by affixing the extension signal before and/or after said identifying voice signal.

15 . The identification method as claimed in claim 11 , wherein the extension signal is a function of a sum of at least one sinusoid with a frequency of between 50 and 650 Hz.

16 . The identification method as claimed in claim 11 , wherein the extension signal is a function of a sum of at least one sinusoid with a frequency of between 100 and 500 Hz.

17 . The identification method as claimed in claim 11 , wherein the extension signal results from the product of a parameterizable function and of an observation window function, said parameterizable function preferably being amplitude- and/or frequency-modulated.

18 . The identification method as claimed in claim 11 , wherein:

the maximum amplitude of the extension signal is less than or equal to the maximum amplitude of the identifying voice signal, and/or

the maximum length of said at least one extension signal is less than or equal to a third of the total length of the complete signal.

19 . The identification method as claimed in claim 11 , wherein:

the maximum amplitude of the extension signal is less than or equal to 80% of the maximum amplitude of the identifying voice signal, and/or

the maximum length of said at least one extension signal is equal to 20% of the total length of the complete signal.

20 . The identification method as claimed in claim 11 , wherein the identifying voice signal comprises a number of syllables which is less than or equal to four.

21 . A method for recording a particular speaker via a computer which comprises a computer memory, the method comprising:

acquiring a recorded voice signal produced by the particular speaker,

determining an extension signal,

generating a recorded complete signal which comprises said recorded voice signal and the extension signal,

determining a reference voice signature in accordance with the recorded complete signal, and

storing said reference voice signature in said memory so as to be associated with the particular speaker.

22 . A motor vehicle comprising:

a passenger compartment,

means for acquiring a voice signal produced by a particular speaker who is located in the passenger compartment, and

a computing unit which is programmed to implement identification method as claimed in claim 11 .

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 23, 2024
From: RENAULT S.A.S.
To: AMPERE S.A.S.
Reel/Frame 067526/0311 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 23, 2022
From: ROSSELLO, NORBERT
To: RENAULT S.A.S.
Reel/Frame 062217/0329 →