This paper focuses on the problem of pitch tracking in noisy conditions. A method using
harmonic information in the residual signal is presented. The proposed criterion is used both …

Effective speech activity detection (SAD) is a necessary first step for robust speech
applications. In this letter, we propose a robust and unsupervised SAD solution that …

In this paper, we propose" personal VAD", a system to detect the voice activity of a target
speaker at the frame level. This system is useful for gating the inputs to a streaming on …

Voice activity detection (VAD) classifies incoming signal segments into speech or
background noise; its performance is crucial in various speech-related applications …

The task of voice activity detection (VAD) is an often required module in various speech
processing, analysis and classification tasks. While state-of-the-art neural network based …

An accurate and noise-robust voice activity detection (VAD) system can be widely used for
emerging speech technologies in the fields of audio forensics, wireless communication, and …

When learning a directed acyclic graph (DAG) model via observational data, one generally
cannot identify the underlying DAG, but can potentially obtain a Markov equivalence class …

We present a new framework for multimodal gesture recognition that is based on a multiple
hypotheses rescoring fusion scheme. We specifically deal with a demanding Kinect-based …

Voice activity detection, ie, discrimination of the speech/nonspeech segments in a speech
signal, is an important enabling technology for a variety of speech-based applications …

(57) ABSTRACT A method for signal level matching by an electronic device is described.
The method includes capturing a plurality of audio signals from a plurality of microphones …