Identifying a person by his or her voice is an important human trait most take for granted in
natural human-to-human interaction/communication. Speaking to someone over the …

While biometric authentication has advanced significantly in recent years, evidence shows
the technology can be susceptible to malicious spoofing attacks. The research community …

This paper gives an overview of automatic speaker recognition technology, with an
emphasis on text-independent recognition. Speaker recognition has been studied actively …

Audio diarization is the process of annotating an input audio channel with information that
attributes (possibly overlap**) temporal regions of signal energy to their specific sources …

Voice, as a convenient and efficient way of information delivery, has a significant advantage
over the conventional keyboard-based input methods, especially on small mobile devices …

Jitter and shimmer are measures of the cycle-to-cycle variations of fundamental frequency
and amplitude, respectively, which have been largely used for the description of …

We describe a novel approach to modeling idiosyncratic prosodic behavior for automatic
speaker recognition. The approach computes various duration, pitch, and energy features …

This paper presents a novel application of convolutional neural networks (CNNs) for the task
of acoustic scene classification (ASC). We here propose the use of a CNN trained to classify …

Looking at the different points highlighted in this article, we affirm that forensic applications
of speaker recognition should still be taken under a necessary need for caution …

In this paper, we propose a new approach for extracting and representing prosodic features
directly from the speech signal. We hypothesize that prosody is linked to linguistic units such …