In a speech recognition system a Voice Activity Detector (VAD) is a crucial component for not only maintaining accuracy but also for reducing computational consumption. Front-end approaches which drop non-speech frames typically attempt to detect speech frames by utilizing speech/non-speech classification information such as the zero crossing rate or statistical models. These approaches discard...

In the field of mobile communications correct Voice Activity Detection (VAD) is a crucial point for the perceived speech quality, the reduction of co-channel interference, the power consumption in portable equipment. This paper shows that a valid alternative to deal with the problem of activity decision is to use methodologies like fuzzy logic, which are suitable for problems requiring approxim...

Voice activity detection (VAD) is an important enabling technology for a variety of speech-based applications including speech recognition, speech encoding, and hands-free telephony. The primary function of a voice activity detector is to provide an indication of speech presence in order to facilitate speech processing as well as possibly provide delimiters for the beginning and end of a speech...

gamma camera is an important apparatus in nuclear medicine imaging. its detection part is consists of a scintillation detector with aheavy collimator. substitution of semiconductor detectors instead of scintillator in these cameras has been effectively studied. in this study, it is aimed to introduce a new design of p-n semiconductor detector array for nuclear medicine imaging. a p-n semiconduc...

This paper combines perceptual filtering to recent results in statistical decision and estimation theory in order to denoise speech signals corrupted by additive and independent white Gaussian noise. The resulting technique requires no Voice Activity Detector and its performance is significantly close to that obtained when the noise standard deviation is known and the masking threshold computed...

The need for efficient, sophisticated features for speech event detection is inherent in state of the art processing, enhancement and recognition systems. We explore ideas and techniques from non-linear speech modeling and analysis, like modulations and multiband filtering and propose new energy and spectral content features derived through filtering in multiple frequency bands and tracking dom...

If desired speech source is located at different position from interference, it is possible to exploit spatial selectivity for reliable speech detection. In this paper, we propose a voice activity detector (VAD) for the microphone array system, using spatial information obtained by the eigendecomposition of multi-channel correlation matrix. We use the phase vector as a measure for VAD, which is...

Voice controlled systems (VCS) in Internet of Things (IoT), speaker verification systems, voice-based biometrics, and other voice-assistant-enabled are vulnerable to different spoofing attacks i.e., replay, cloning, cloned-replay, etc. VCS not only susceptible these a non-network environment, but they also multi-order networked IoT. Additionally, deepfakes with artificially generated audio pose...

The need for efficient, sophisticated features for speech event detection is inherent in state of the art processing, enhancement and recognition systems. We explore ideas and techniques from non-linear speech modeling and analysis, like modulations and multiband filtering and propose new energy and spectral content features derived through filtering in multiple frequency bands and tracking dom...