When automatic speech recognition (ASR) is applied to hands-free or other adverse acoustic environments, endpoint detection and energy normalization can be crucial to the entire system. In low signal-to-noise (SNR) situations,conventional approaches of endpointing and energy normalization often fail and ASR performances usually degrade dramatically. The goal of this paper is to find a fast, acc...

Indirect, non-invasive detection of rare aquatic macrofauna using aqueous environmental DNA (eDNA) is a relatively new approach to population and biodiversity monitoring. As such, the sensitivity of monitoring results to different methods of eDNA capture, extraction, and detection is being investigated in many ecosystems and species. One of the first and largest conservation programs with eDNA-...

BACKGROUND In the context of a potential bioterrorist attack sensitive and fast detection of functionally active toxins such as ricin from complex matrices is necessary to be able to start timely countermeasures. One of the functional detection methods currently available for ricin is the endpoint cytotoxicity assay, which suffers from a number of technical deficits. METHODOLOGY/FINDINGS This...

This paper addresses the problem of automatic word boundary detection in the presence of noise. We first propose an adaptive time-frequency (ATF) parameter for extracting both the time and frequency features of noisy speech signals. The ATF parameter extends the TF parameter proposed by Junqua et al. from single band to multiband spectrum analysis, where the frequency bands help to make the dis...

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...

Voice activity detection (VAD) is the key of voice recognition, voice synthesis and speech-sound enhancement.For the sake of improve the accuracy and robustness of speech endpoint detection system. Combining the advantages of adaptive genetic algorithm (AGA) and improved radial basis function network (RBF) defects in existing learning methods. This paper presents a comprehensive detection metho...

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...

Dark adaptometry may be a useful diagnostic test and clinical trial endpoint for age-related maculopathy (ARM) because impaired night vision is a hallmark of early ARM. A novel dark adaptometer, the AdaptDx, was evaluated for the detection of ARM. The AdaptDx incorporates a 20-minute protocol optimized for the detection of ARM. ARM patients (N = 17) exhibited substantial dark adaptation impairm...

BACKGROUND In conventional PCR, total amplicon yield becomes independent of starting template number as amplification reaches plateau and varies significantly among replicate reactions. This paper describes a strategy for reconfiguring PCR so that the signal intensity of a single fluorescent detection probe after PCR thermal cycling reflects genomic composition. The resulting method corrects fo...