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Automated speaker verification is the computing task of validating a user's claimed identity using characteristics or we can say features extracted from their voices. In automated speaker verification the speaker's voice signal is processed to extract speaker-specific characteristics. We have proposed a method for speaker verification system in noisy environment using the auditory features Gammatone...
Human listeners are capable of identifying a speaker, over the telephone or an entryway out of sight, by listening to the voice of the speaker. Achieving this intrinsic human specific capability is a major challenge for Voice Biometrics. Like human listeners, voice biometrics uses the features of a person’s voice to ascertain the speaker’s identity. The best-known commercialized forms of voice Biometrics...
Human voice can serve as a password/key for access to various services. This voice is used for verifying speaker in speaker verification system based on the features extracted from the voice signal. In automated speaker verification the speaker's voice signal is processed to extract speaker-specific information which is used to generate voiceprint also known as a template that cannot be replicated...
The detection of singular points (SP), the core and delta points is an important step for automatic fingerprint identification system (AFIS). The number and location of singular points, are used to classify fingerprint images into five general groups; and therefore to narrow down the search space in large fingerprint databases. This paper proposes a new hybrid scheme to detect singularity points in...
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