This paper investigates the adaptation of automatic speech recognition to disease detection by analyzing the voice parameters. The analysis of the voice allows the identification of the diseases which affect the vocal apparatus and currently is carried out from an expert doctor through methods based on the auditory analysis. This paper presents a novel method to keep track of patient’s patholog...

SUMMARY The authors investigated whether acoustic speaking voice analyses can be used to predict the beginning of mutation in 21 male members of a professional boys' choir. Over a period of 3 years before mutation, children were examined every 3 months by ear, nose, and throat (ENT) and phoniatric specialists. At the same time, the voice was evaluated acoustically using analysis features of the...

We summarize a number of findings in laryngology demonstrating that perturbations of phonation, including increased jitter and shimmer, are associated with desiccated ambient air. We predict that, given the relative imprecision of vocal fold vibration in desiccated versus humid contexts, arid and cold ecologies should be less amenable, when contrasted to warm and humid ecologies, to the develop...

This paper investigates the effect of voice quality in commutative speech. Voice quality is often considered as the characteristic auditory colouring of an individual speaker's voice, but in our study, we find that voice quality can also reveal information about the interlocutor in everyday social interactions. In the correlation analysis between acoustic measures and interlocutors, the effect ...

This paper investigates the adaptation of automatic speech recognition to disease detection by analyzing the voice parameters. The analysis of the voice allows the identification of the diseases which affect the vocal apparatus and currently is carried out from an expert doctor through methods based on the auditory analysis. This paper presents a novel method to keep track of patient’s patholog...

Emotion recognition is an important research field that finds lots of applications nowadays. This work emphasizes on recognizing different emotions from speech signal. The extracted features are related to statistics of pitch, formants, and energy contours, as well as spectral, perceptual and temporal features, jitter, and shimmer. The Artificial Neural Networks (ANN) was chosen as the classifi...

Research on the facial expression of emotion distinguishes between correlates of posed vs. spontaneous emotion expression. Similar research in the vocal domain is lacking. In this study, we compare changes in a range of vocal parameters between posed vs. spontaneous adult-directed (AD) and child–directed (CD) speech. CDS is a highly affectively charged speech register which lends itself well to...

this paper presents the design and implementation of a clinical workstation software for analyzing voice disorders. the software is developed by using Java technology and MysQl database system. a variety of vocal cues, e.g. jitter and shimmer, that describe irregularities of speech cycles in sustained vowels can be automatically derived by the system. for assessing voice disorders in connected ...

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...

Building on psychologists' observations that individuals with Social Anxiety Disorder (SAD) speak slower and more quietly, this study examines to what extent the characteristics of hesitation disfluencies and silent pauses distinguish between SAD and control participants. Participants responded verbally to six identical questions, and their responses were recorded and analyzed. Our first observ...