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 presents a method for speech emotion recognition using spectrograms and deep
convolutional neural network (CNN). Spectrograms generated from the speech signals are …

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

This paper reports the results of our experiments on speaker identification in the SCOTUS
corpus, which includes oral arguments from the Supreme Court of the United States. Our …

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 …

Diagnosis of potential faults concealed inside power transformers is the key of ensuring
stable electrical power supply to consumers. Support vector machine (SVM) is a new …

We present Darwin, an enabling technology for mobile phone sensing that combines
collaborative sensing and classification techniques to reason about human behavior and …

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 …

Exploiting the impulse-like nature of excitation in the sequence of glottal cycles, a method is
proposed to derive the instantaneous fundamental frequency from speech signals. The …