System and Method for Improving the Performance of Voice Biometrics

A Method for Improving the Performance of Voice biometrics comprising the steps of:

• (a) For enrollment, the biometrics engine receives a digitized audio signal, the signal being decompressed or uncompressed, from one or more input client devices, directly or through a network,
• The compressor receives the signal from the input client device, directly or through a network, thereby compressing the signal and sends the compressed signal to a voice recorder,
• The voice recorder sends the compressed signal to a decompressor which decompresses the signal,
• The decompressor sends the decompressed signal to the biometrics engine, If the signal is uncompressed, the biometrics engine receives the signal from the input client device directly or through the network,
• The biometrics engine performs speaker identification functions and outputs at least one voice print thereby completing the enrollment process;
• and,
• (b) For verification, the biometrics engine receives a digitized audio signal, the signal being decompressed or uncompressed, to a biometrics engine directly or through a network,
• The compressor receives the signal from the input client device, directly or through a network, thereby compressing the signal and sends the compressed signal to a voice recorder,
• The voice recorder sends the compressed signal to a decompressor which decompresses the signal,
• The decompressor sends the decompressed signal to the biometrics engine, If the signal is uncompressed, the biometrics engine receives the signal from the input client device directly or through the network,
• The biometrics engine further provides a verification score and a confidence score wherein true and impostor scores are measured by False Acceptance Rate (FAR) and False Rejection Rate (FRR), further yielding an Equal Error Rate (EER).

A Method for Improving the Performance of Voice biometrics comprising the steps of:

• (a) For enrollment, the biometrics engine receives a decompressed digitized audio signal, the signal being standards-based or proprietary, from one or more input client devices, directly or through a network,
• If the decompressed signal is proprietary, a standards-based decompressor receives the signal from the input client device, directly or through a network, thereby decompressing the standards-based signal and sends the decompressed signal to a compressor,
• The compressor compresses the signal and sends the signal to a voice recorder,
• The voice recorder sends the compressed signal to a decompressor which decompresses the signal,
• The decompressor sends the decompressed signal to a signal processing filter,
• The signal processing filter sends the signal to a biometrics engine,
• If the decompressed signal is standards-based, the biometrics engine receives the decompressed signal from the input client device directly or through the network, The biometrics engine performs speaker identification functions and outputs at least one voice print thereby completing the enrollment process;
• and,
• (b) For verification, the biometrics engine receives a decompressed digitized audio signal, the signal being standards-based or proprietary, from one or more input client devices, directly or through a network,
• If the decompressed signal is proprietary, a standards-based decompressor receives the signal from the input client device, directly or through a network, thereby decompressing the standards-based signal and sends the decompressed signal to a compressor,
• The compressor compresses the signal and sends the signal to a voice recorder,
• The voice recorder sends the compressed signal to a decompressor which decompresses the signal,
• The decompressor sends the decompressed signal to a signal processing filter,
• The signal processing filter sends the signal to a biometrics engine,
• If the decompressed signal is standards-based, the biometrics engine receives the decompressed signal from the input client device directly or through the network, The biometrics engine further provides a verification score and a confidence score wherein true and impostor scores are measured by False Acceptance Rate (FAR) and False Rejection Rate (FRR), further yielding an Equal Error Rate (EER).