OBJECTIVES Falling in the elderly is considered a major cause of death. In recent years, ambient and wireless sensor platforms have been extensively used in developed countries for the detection of falls in the elderly. However, we believe extra efforts are required to address this issue in developing countries, such as Pakistan, where most deaths due to falls are not even reported. Considering...

Neuropsychiatric disorders occur frequently after stroke and have a detrimental impact on functional outcomes and quality of life. Poststroke depression (PSD) is considered the most frequent clinical expression of these disorders and is often diagnosed at least 3 months after stroke. The identification of patients at risk for developing this disorder remains an important issue for clinicians be...

OBJECTIVE To evaluate the voices of irradiated patients with early glottic carcinoma and to compare these with the voices of healthy volunteers. DESIGN Case-control study. SETTING University Department of Otorhinolaryngology and Cervicofacial Surgery, University of Ljubljana, Ljubljana, Slovenia. SUBJECTS AND METHODS The voice samples (sustained vowel) of 50 patients (44 men and 6 women) ...

Objective: The purpose of this study was to compare acoustic data for the following vocal parameters to assess vocal noise in dysphonic participant’s pre and post stimulability training: Relative Average Perturbations (RAP), Shimmer, and Noise-Harmonic Ratio (NHR) using the Multi-Dimensional Voice Program (MDVP) were assessed. The objective was to determine if stimulability training could impro...

Background and Objectives: Voice assessment is one of the five universal parameters in assessing speech ability children with cleft palate. One characteristics palate production compensatory errors. This study aims to compare acoustic voice, including fundamental frequency, jitter, shimmer, average harmonic noise ratio compared their normal peers. Methods: A total 38 age range 48 60 months (17 ...

Text-to-speech (TTS) systems provide fundamental reading support for people with aphasia and difficulties. However, artificial voices are more difficult to process than natural voices. The current study is an extended analysis of the results a clinical experiment investigating which, among three digitised human voice, suitable impairments. Such show that voice synthesised Ogmios TTS, concatenat...

A multi-source information fusion-based disease class classification of stroke patients was implemented to address the low accuracy pure input motion and electromyographic signals. sEMG sensor MYO arm ring wearable wireless Shimmer were used as data acquisition devices. The Butterworth high-pass filter filtering envelope thresholding method detected activity segment. Detection FIR using window ...

a bottom up procedure for extracting repetitive structures in speech sounds has been developed on the basis of a temporally stable representation of periodic sounds (tandeM) and adaptive spectral smoothing (straiGht). the proposed method evaluates local periodic structures in the frequency domain to detect repetition in the time domain. a group of dedicated periodicity detectors are combined to...

In this paper we introduce a robust feature extractor, dubbed as Modified Function Cepstral Coefficients (MODFCC), based on gammachirp filterbank, Relative Spectral (RASTA) and Autoregressive Moving-Average (ARMA) filter. The goal of this work is to improve the robustness of speech recognition systems in additive noise and real-time reverberant environments. In speech recognition systems Mel-Fr...

Empathy measures the capacity of the therapist to experience the same cognitive and emotional dispositions as the patient, and is a key quality factor in counseling. In this work we build computational models to infer the empathy of therapist using prosodic cues. We extract pitch, energy, jitter, shimmer and utterance duration from the speech signal, and normalize and quantize these features in...