View source for PINDROP SECURITY, INC. (20250124945). SPEAKER RECOGNITION WITH QUALITY INDICATORS

=SPEAKER RECOGNITION WITH QUALITY INDICATORS=


==Organization Name==

[[:Category:PINDROP SECURITY, INC.|PINDROP SECURITY, INC.]]


[[Category:PINDROP SECURITY, INC.]]

==Inventor(s)==

[[:Category:Hrishikesh Rao of Atlanta GA US|Hrishikesh Rao of Atlanta GA US]][[Category:Hrishikesh Rao of Atlanta GA US]]

[[:Category:Kedar Phatak of Atlanta GA US|Kedar Phatak of Atlanta GA US]][[Category:Kedar Phatak of Atlanta GA US]]

[[:Category:Elie Khoury of Atlanta GA US|Elie Khoury of Atlanta GA US]][[Category:Elie Khoury of Atlanta GA US]]

==SPEAKER RECOGNITION WITH QUALITY INDICATORS==


This abstract first appeared for US patent application 20250124945 titled 'SPEAKER RECOGNITION WITH QUALITY INDICATORS

==Original Abstract Submitted==

embodiments described herein provide for a machine-learning architecture for modeling quality measures for enrollment signals. modeling these enrollment signals enables the machine-learning architecture to identify deviations from expected or ideal enrollment signal in future test phase calls. these differences can be used to generate quality measures for the various audio descriptors or characteristics of audio signals. the quality measures can then be fused at the score-level with the speaker recognition's embedding comparisons for verifying the speaker. fusing the quality measures with the similarity scoring essentially calibrates the speaker recognition's outputs based on the realities of what is actually expected for the enrolled caller and what was actually observed for the current inbound caller.



[[Category:G10L25/60]]
[[Category:G06N20/20]]
[[Category:G10L15/02]]
[[Category:CPC_G10L25/60]]