Voice activity detection (VAD) in the presence of heavy, non-stationary noise is a challenging problem that has attracted attention in recent years. Most modern VAD systems require training on highly specialized data: either labeled mixtures of speech and noise that are matched to the application, or, at the very least, noise data similar to that encountered in the application. Because obtainin...

The voice activity detection (VAD) is crucial in all kinds of speech applications. However, almost all existing VAD algorithms suffer from the nonstationarity of both speech and noise. To combat this difficulty, we propose a new voice activity detector, which is based on the Mel-energy features and an adaptive threshold related to the signal-to-noise ratio (SNR) estimates. In this paper, we fir...

The performance of a speech recognition system is often degraded due to the mismatch between the environments of development and application. One of the major sources that give rises to this mismatch is additive noise. The approaches for handling the problem of additive noise can be divided into three classes: speech enhancement, robust speech feature extraction, and compensation of speech mode...

Children with developmental disabilities such as childhood apraxia of speech (CAS) require repeated intervention sessions with a speech therapist, sometimes extending over several years. Technology-based therapy tools offer the potential to reduce the demanding workload of speech therapists as well as time and cost for families. In response to this need, we have developed “Tabby Talks,” a multi...

Proposed work basically depend on two systems 1). By Eye control: This is a method to guide and control the wheelchair for disabled people based on movement of eye. This concept can be used for people with loco-motor disabilities. The proposed system involves three stages: image detection, image processing and sending of control signals to wheelchair. The eye movement is detected using a head m...

This paper presents an alternative energy-based algorithm to provide speech/silence classification. The algorithm is capable to track non-stationary signals and dynamically calculate instantaneous value for threshold using adaptive scaling parameter. It is based on the observation of a noise power estimation used for computation of the threshold can be obtained using minimum and maximum values ...

A recent advertisement asks "How many bad decisions have you made based upon a lie?" Furthermore, "lf a Person Has the Right to Lie to You, Do You Have the Right to Detect That Lie?" One new lie detector, based on computefized voice stress analysis offers to help with such problems. It "detects, measures and charts the stress in a person's'voice instantaneously, with or without the person's kno...

A system for acoustic analysis of pathological voices is proposed. The vocalized part of the voice signal is separated and all glottal cycles are traced by means of a cross-correlation detector. Based on the so determined beginning and duration of all glottal cycles, shimmer, jitter, several harmonics-to-noise ratios and other widely used acoustic parameters are calculated. New parameters are a...

This paper presents a new dynamically adaptable polling scheme for efficient support of voice communications over an IEEE802.11 network. The proposed Cyclic Shift and Station Removal polling scheme is implemented only on the Access Point of each Basic Service Set without requiring any modification on the existing access protocol. This polling scheme increases the number of conversations in case...