Speaker verification
AssigneeCirrus Logic, Inc.
InventorsCarlos Vaquero Avilés-Casco, David Martínez González
Life of this patent
Estimating the term…
Abstract
A method for use in speaker verification, comprises: receiving a sample of a person's speech; estimating a noise measure in the received sample of the person's speech; if the estimated noise measure does not meet a predetermined criterion, rejecting the received sample of the person's speech; and if the estimated noise measure meets the predetermined criterion: adding noise to the received sample to form a sample with increased noise; extracting features of the sample with increased noise; and forming a model of the person's speech from the extracted features.
Claims17
A method for use in speaker verification, comprising:
- for each person of a plurality of people forming a cohort:
- receiving a sample of the person's speech;
- estimating a noise measure in the received sample of the person's speech;
- if the estimated noise measure does not meet a predetermined criterion, rejecting the received sample of the person's speech;
- and
- if the estimated noise measure meets the predetermined criterion:
- adding noise to the received sample to form a sample with increased noise;
- extracting features of the sample with increased noise;
- and
- forming a model of the person's speech from the extracted features, and further comprising:
- for an enrolling user:
- receiving a sample of the enrolling user's speech;
- estimating a noise measure in the received sample of the enrolling user's speech;
- if the estimated noise measure does not meet a predetermined criterion, rejecting the received sample of the enrolling user's speech;
- and
- if the estimated noise measure meets the predetermined criterion:
- adding noise to the received sample to form a sample with increased noise;
- extracting features of the sample with increased noise;
- and
- forming a model of the enrolling user's speech from the extracted features,
- such that the models of the speech of the people forming the cohort, and the model of the enrolling user's speech can be used in a speaker verification.
Dependencies are inferred from the claim text.