System and method for improved audio consistency
A voice biometrics system adapted to authenticate a user based on speech diagnostics is provided. The system includes a pre-processing module to receive and pre-process an input voice sample. The pre-processing module includes a clipping module to clip the input voice sample based on a clipping threshold and a voice activity detection module to apply a detection model on the input voice sample to determine an audible region and a non-audible region in the input voice sample. The pre-processing module includes a noise reduction module to apply a noise reduction model to remove noise components from the input voice sample. The voice biometrics system includes a feature extraction module to extract features from the pre-processed input voice sample. The voice biometrics system also includes an authentication module to authenticate the user by comparing a plurality of features extracted from the pre-processed input voice sample to a plurality of enrollment features.
1. A voice biometrics system adapted to authenticate a user based on speech diagnostics, the voice biometrics system comprising:
a pre-processing module configured to receive an input voice sample and pre-process the input voice sample by:
a clipping module configured to clip the input voice sample based on a clipping threshold;
a voice activity detection module configured to apply a detection model on the input voice sample to determine an audible region and a non-audible region in the input voice sample; and
a noise reduction module configured to apply a noise reduction model to remove noise components from the input voice sample;
a feature extraction module configured to extract features from the pre-processed input voice sample; and
an authentication model configured to authenticate the user by comparing a plurality of features extracted from the pre-processed input voice sample to a plurality of enrolment features, wherein the voice activity detection module further comprises a zero crossing module configured to detect the polarity of the input voice sample across a time.
2. The voice biometrics system of claim 1 , wherein the pre-processing module further comprises:
a pre-emphasis module configured to remove the low frequency components from the input voice sample; and
an amplification module configured to amplify the magnitude of the input voice sample.
3. The voice biometrics system of claim 1 , further comprising a post-processing module configured to apply a gaussian mixture model to detect the input channel and/or device through which the features from the voice samples are entered.
4. The voice biometrics system of claim 1 , wherein the voice activity detection module further comprises a short time energy module configured to classify the audible region and the non-audible region of the input voice sample.
5. The voice biometrics system of claim 1 , wherein the voice activity detection module further comprises a pitch detection module configured to estimate a pitch level of the input voice sample.
6. The voice biometrics system of claim 1 , wherein the voice activity detection module further comprises voice activity detection sub-system configured to detect plurality of speech frames comprising speech and non-speech frames of the input voice sample.
7. The voice biometrics system of claim 1 , wherein the pre-processing module further comprises a feature normalization module configured to apply a mean and variance normalization model to remove noise components from the input voice sample caused by the input channel and/or device.
8. A voice biometrics system adapted to authenticate a user based on speech diagnostics, the voice biometrics system comprising:
a pre-processing module configured to receive an input voice sample and pre-process the input voice sample by:
a clipping module configured to clip the input voice sample based on a clipping threshold;
a voice activity detection module configured to apply a detection model on the input voice sample to determine an audible region and a non-audible region in the input voice sample; and
a noise reduction module configured to apply a noise reduction model to remove noise components from the input voice sample;
a feature extraction module configured to extract features from the pre-processed input voice sample; and
an authentication model configured to authenticate the user by comparing a plurality of features extracted from the pre-processed input voice sample to a plurality of enrolment features, further comprising a post-processing module configured to apply a gaussian mixture model to detect the input channel and/or device through which the features from the voice samples are entered.
9. A voice biometrics system adapted to authenticate a user based on speech diagnostics, the voice biometrics system comprising:
a pre-processing module configured to receive an input voice sample and pre-process the input voice sample by:
a clipping module configured to clip the input voice sample based on a clipping threshold;
a voice activity detection module configured to apply a detection model on the input voice sample to determine an audible region and a non-audible region in the input voice sample; and
a noise reduction module configured to apply a noise reduction model to remove noise components from the input voice sample;
a feature extraction module configured to extract features from the pre-processed input voice sample; and
an authentication model configured to authenticate the user by comparing a plurality of features extracted from the pre-processed input voice sample to a plurality of enrolment features, wherein the voice activity detection module further comprises a pitch detection module configured to estimate a pitch level of the input voice sample.
10. A voice biometrics system adapted to authenticate a user based on speech diagnostics, the voice biometrics system comprising:
a pre-processing module configured to receive an input voice sample and pre-process the input voice sample by:
a clipping module configured to clip the input voice sample based on a clipping threshold;
a voice activity detection module configured to apply a detection model on the input voice sample to determine an audible region and a non-audible region in the input voice sample; and
a noise reduction module configured to apply a noise reduction model to remove noise components from the input voice sample;
a feature extraction module configured to extract features from the pre-processed input voice sample; and
an authentication model configured to authenticate the user by comparing a plurality of features extracted from the pre-processed input voice sample to a plurality of enrolment features, wherein the voice activity detection module further comprises voice activity detection sub-system configured to detect plurality of speech frames comprising speech and non-speech frames of the input voice sample.
11. A voice biometrics system adapted to authenticate a user based on speech diagnostics, the voice biometrics system comprising:
a pre-processing module configured to receive an input voice sample and pre-process the input voice sample by:
a clipping module configured to clip the input voice sample based on a clipping threshold;
a voice activity detection module configured to apply a detection model on the input voice sample to determine an audible region and a non-audible region in the input voice sample; and
a noise reduction module configured to apply a noise reduction model to remove noise components from the input voice sample;
a feature extraction module configured to extract features from the pre-processed input voice sample; and
an authentication model configured to authenticate the user by comparing a plurality of features extracted from the pre-processed input voice sample to a plurality of enrolment features, wherein the pre-processing module further comprises a feature normalization module configured to apply a mean and variance normalization model to remove noise components from the input voice sample caused by the input channel and/or device.
12. A voice biometrics system adapted to authenticate a user based on speech diagnostics, the voice biometrics system comprising:
a pre-processing module configured to receive an input voice sample and pre-process the input voice sample by:
a clipping module configured to clip the input voice sample based on a clipping threshold;
a voice activity detection module configured to apply a detection model on the input voice sample to determine an audible region and a non-audible region in the input voice sample; and
a noise reduction module configured to apply a noise reduction model to remove noise components from the input voice sample;
a feature extraction module configured to extract features from the pre-processed input voice sample; and
an authentication model configured to authenticate the user by comparing a plurality of features extracted from the pre-processed input voice sample to a plurality of enrolment features, wherein the voice activity detection module further comprises a short time energy module configured to classify the audible region and the non-audible region of the input voice sample.