Audio segmentation has applications in a variety of contexts, such as audio information retrieval, automatic sound analysis, and as a pre-processing step in speech recognition. Ex...
Tara N. Sainath, Dimitri Kanevsky, Giridharan Iyen...
This paper investigates the perceptual quality of decoded video bitstreams after packet losses. We focus on lowresolution and low-bit rate video coded by the H.264/AVC encoder, an...
Tao Liu, Yao Wang, Jill M. Boyce, Zhenyu Wu, Hua Y...
Objective video quality metrics reported in the literature have so far been focused on TV signals with large frame sizes, full TV frame rates, and high compressed bit rates. The a...
Ee Ping Ong, Mei Hwan Loke, Weisi Lin, Zhongkang L...
Recently, Narozny et al [1] proposed a new viewpoint in variable high-rate transform coding. They showed that the problem of finding the optimal 1-D linear block transform for a ...
In non-intrusive forensic analysis, we wish to find information and properties about a piece of data without any reference to the original data prior to processing. An important ...
Steven Tjoa, Wan-Yi Sabrina Lin, H. Vicky Zhao, K....
This paper deals with a new technique for blind source separation (BSS) from convolutive mixtures. We present a three-stage separation system employing time-frequency binary maski...
Jan Cermak, Shoko Araki, Hiroshi Sawada, Shoji Mak...
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...
This paper presents a maximum likelihood (ML) framework for multimicrophone sound source localization (SSL). Besides deriving the framework, we focus on making the connection and ...
We present a novel search algorithm which is suitable for optimizing functions with a high-dimensional discrete-valued parameter vector. The algorithm is designed to find a funct...
Tuukka Toivonen, Loren Merritt, Ville Ojansivu, Ja...
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...