We developed a computer-aided diagnosis (CAD) system based on linked color imaging
(LCI) images to predict the histological results of polyps by analyzing the colors of the …

This paper reviews an automatic speaker recognition technology, with an emphasis on state-
of-the-art voice activity detection (VAD), feature extraction and speaker-modelling …

In current scenario, speaker recognition under noisy condition is the major challenging task
in the area of speech processing. Due to noise environment there is a significant …

This work considers training neural networks for speaker recognition with a much smaller
dataset size compared to contemporary work. We artificially restrict the amount of data by …

In this paper, we study how to improve the performance of moving target classification by
using an acoustic signal enhancement method based on independent vector analysis (IVA) …

Mismatch in speech data is one of the major reasons limiting the use of speaker recognition
technology in real world applications. Extracting speaker specific features is a crucial issue …

This paper presents a multi‐level speaker verification system that uses 64 discrete Fourier
transform spectrum components as input feature vectors. A speech activity detection …

Automatic speaker verification (ASV) is a binary classification task. It consists of accepting or
rejecting the claimed identity. ASV system has to decide whether a claimed speaker uttered …

Sub-segmental analysis of excitation source may contain significant speaker-specific
information pertaining to speaker verification. In this paper, the excitation source feature has …

Speaker identification is a field of which usage grows faster in security systems and forensic
sciences. Depending on the tasks, online or offline applications are presented. It is an …