Verint Systems, Inc.

Nuance Communications, Inc.

Alex Gorodetski

Ido Shapira

Ron Wein

Oana Sidi

Peter R Stubley

Oded Monzon

Douglas Peters

Disclosed herein are methods of diarizing audio data using first-pass blind diarization and second-pass blind diarization that generate speaker statistical models, wherein the first pass-blind diarization is on a per-frame basis and the second pass-blind diarization is on a per-word basis, and methods of creating acoustic signatures for a common speaker based only on the statistical models of the speakers in each audio session.

Word-level blind diarization of recorded calls with arbitrary number of speakers

Acoustic signature building for a speaker from multiple sessions

Adjusting confidence score thresholds is described for a speech recognition engine. The speech recognition engine is implemented in multiple computer processes functioning in a computer processor, and is characterized by an associated receiver operating characteristic (ROC) curve. A results confirmation process interprets user confirmation of speech recognition results within a given confidence score threshold to create a confirmed portion of the ROC curve for the speech recognition engine. A curve extension process extends the confirmed portion of the ROC curve by extrapolation of unconfirmed speech recognition results beyond the confidence score threshold to generate an extended ROC curve. A threshold adjustment process adjusts the confidence score threshold based on the extended ROC curve to meet target operating constraints for operating the speech recognition engine to perform automatic speech recognition of user speech inputs.

Adaptive confidence thresholds for speech recognition

Growing community of inventors

Rehovot, Israel

Alex Gorodetski