Voice activity detection (VAD) is an important component of signal processing that is critical
for various applications, including speech recognition, speaker recognition, and speaker …

Sparse coding, as a successful representation method for many signals, has been recently
employed in speech enhancement. This paper presents a new learning-based speech …

In an ecological breeding environment, feeders usually don't know whether their chicken are
in good condition. Fortunately, Chicken voices reveal a lot of messages and it is easy to …

The goal of this paper is to propose a novel diffusion adaptive algorithm for estimation of
sparse system with non-Gaussian noise. The proposed adaptive algorithm uses zero-norm …

The actual speech signal is always in a complex environment, which affects the accuracy of
speech endpoint detection. In order to improve the accuracy of speech endpoint detection …

Voice activity detectors are presented to extract silence/speech segments of the speech
signal to eliminate different background noise signals. A novel voice activity detector is …

Classical dictionary learning algorithms that rely on a single source of information have
been successfully used for the discriminative tasks. However, exploiting multiple sources …

This article develops mathematical methods of learning and decision-making in speech
recognition, when extracting informative properties from speech signals, intelligent …

This paper presents an approach for identifying noisy speech recording using a multi-layer
perceptron (MLP) trained to predict phoneme from acoustic features. Characteristics of MLP …

Noisy speech poses a great challenge to a real-time, real-world speech recognition system.
Speech recognition errors can be introduced at the phoneme level or at the word level …