The objective of this paper is to establish the importance of phase of analytic signal of
speech, referred to as the analytic phase, in human perception of speaker identity, as well as …

Most conventional features used in speaker recognition are based on spectral envelope
characterizations such as Mel-scale filterbank cepstrum coefficients (MFCC), Linear …

Cognitive load refers to the load imposed on human cognitive functions when a person is
performing a task. In applications that require users to process large amounts of information …

Accurate estimation of the instantaneous frequency of speech resonances is a hard problem
mainly due to phase discontinuities in the speech signal associated with excitation instants …

The ability to employ automatic speaker verification systems without face-to-face contact
makes them more prone to malicious spoofing attacks compared to most other biometric …

Spoken language abounds in a variety of types of information: the words themselves, the
speaker's identity, the language, the emotion expressed by the speaker, and other non …

Technologies that exploit biometrics can potentially be applied to the identification and
verification of individuals for controlling access to secured areas or materials. Among these …

The paper proposes the sub-band main peak frequencies (SMPF) for speaker identification
(SI). The SMPF could be derived from the sub-band first formant frequencies by all-pole …