Speaker identification is a widely used technique in several security systems. In remote
access systems, speaker utterances are recoded and communicated through a …

Environmental noise and reverberation conditions severely degrade the performance of
forensic speaker verification. Robust feature extraction plays an important role in improving …

The extraction of species-specific calls from passive acoustic recordings is a common
preliminary step in ecological analysis. But for many species, especially those occupying …

We present an acoustic distance measure for comparing pronunciations, and apply the
measure to assess foreign accent strength in American-English by comparing speech of non …

With the development of machine learning, a data-driven model has been widely used in
vibration signal fault diagnosis. Most data-driven machine learning algorithms are built …

This paper presents an efficient approach for automatic speaker identification based on
cepstral features and the Normalized Pitch Frequency (NPF). Most relevant speaker …

The paper proposes a new HCI mechanism for device-free gesture recognition on the table
using acoustic signal, which can extend the gesture input and interactions beyond the tiny …

Steganography is one of the fascinating subjects for researchers. One of the recent research
trends in this field is audio steganography, which depends on hiding of information in the …

ABSTRACT A new method for feature extraction is presented in this paper for speech
recognition using a combination of discrete wavelet transform (DWT) and mel Frequency …

Although a lot of research has been done on speaker identification in the presence of noise
and channel variation, to the best of our knowledge, no work has been reported for …