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

We present a novel method for detecting 3D model instances and estimating their 6D poses
from RGB data in a single shot. To this end, we extend the popular SSD paradigm to cover …

Audio is a useful modality complement to video for healthcare monitoring. In this paper, we
investigate the use of Hierarchical Hidden Markov Models (HHMMs) for healthcare audio …

Selection of features is one of the important tasks in the application like Speaker
Identification (SI) and other pattern recognition problems. When multiple features are …

Speaker identification plays a crucial role in biometric person identification as systems
based on human speech are increasingly used for the recognition of people. Mel frequency …

Signal detection and format recognition are critical and challenging tasks across civil and
military sectors. However, they often encounter signal truncation issues during online signal …

All-pole spectral envelope estimates based on linear prediction (LP) for speech signals often
exhibit unnaturally sharp peaks, especially for high-pitch speakers. In this paper …

Speech signal is redundant and non-stationary by nature. Because of vocal tract inertness
these variations are not very rapid and the signal can be considered as stationary in short …

In biometric person identification systems, speaker identification plays a crucial role as the
voice is the more natural signal to produce and the simplest to acquire. Mel frequency …

In this paper, we present a novel method for robust and accurate identification of glottal
closure instants (GCIs) from the voiced speech signal. The proposed method employs a new …