A quality monitoring system for telecommunication services is relevant for network operators
because it can help to improve users' quality-of-experience (QoE). In this context, this article …

With the development of the Internet, the number of web spam increases gradually, which
has seriously affected the user experience of search engines. To improve the classification …

The lack of labeled background data makes a big performance gap between cosine and
Probabilistic Linear Discriminant Analysis (PLDA) scoring baseline techniques for i-vectors …

Over the last few years, i-vectors have been the state-of-the-art technique in speaker
recognition. Recent advances in Deep Learning (DL) technology have improved the quality …

The representation of good audio features is the first and foremost requirement for improving
the identification performance of any system. Most of the representation learning …

Deep learning methods aims at learning meaningful representations in the field of machine
learning (ML). Unsupervised deep learning architectures has grown at a fast pace owing to …

Restricted Boltzmann Machines (RBMs) have shown success in both the front-end and
backend of speaker verification systems. In this paper, we propose applying RBMs to the …

Restricted Boltzmann Machines (RBMs) have shown success in different stages of speaker
recognition systems. In this paper, we propose a novel framework to produce a vector-based …

Restricted Boltzmann Machines (RBMs) have been used both in the front-end and backend
of speaker verification systems. In this work, we apply RBMs as a front-end in the context of …

Good feature representation is the chief requirement for improving Language Identification
(LID) system recognition performance. In this work LID system for Indian languages is …