Introduction: Use of patient-based voice assessment scales is an appropriate method that is frequently used to demonstrate effectiveness of voice therapy. This study was aimed at determining the effectiveness ofvoice therapy among patients with secondary muscle tension dysphonia (MTD) and vocal mass lesions.   Materials and Methods: The study design was prospective, with within-participant repe...

Most theories of spoken word identification assume that variable speech signals are matched to canonical representations in memory. To achieve this, idiosyncratic voice details are first normalized, allowing direct comparison of the input to the lexicon. This investigation assessed both explicit and implicit memory for spoken words as a function of speakers' voices, delays between study and tes...

A number of experiments were made in the field of speech diagnostic analysis in which researchers wanted to examine whether it was the acoustic characteristics of sustained voice or continuous speech that were more appropriate for distinguishing healthy from pathological voice. While in phoniatric practice, doctors mainly use continuous speech, we also wanted to concentrate on the examination o...

The personal computers are often equipped with a sound card that is capable of audio processing. This enables GUI applications to use sounds and synthesized speech, such as warning messages, voice alerts and guides to the user. Most sound cards also take input from a microphone, which are often used to pickup user voice and digitize them through audio processing circuitry. Voice recognition sys...

This meta-analysis compares the brain structures and mechanisms involved in facial and vocal emotion recognition. Neuroimaging studies contrasting emotional with neutral (face: N = 76, voice: N = 34) and explicit with implicit emotion processing (face: N = 27, voice: N = 20) were collected to shed light on stimulus and goal-driven mechanisms, respectively. Activation likelihood estimations were...

The Voice is a signal of infinite information. Digital processing of speech signal is very important for high and precise automatic voice recognition technology. Speech recognition has found its application on various aspects of our daily lives from automatic phone answering service to dictating text and issuing voice commands to computers. We focus mainly on two points 1. The pre-processing st...

Speech Processing has been developed as one of the vital provision region of Digital Signal Processing. Speaker recognition is the methodology of immediately distinguishing who is talking dependent upon special aspects held in discourse waves. This strategy makes it conceivable to utilize the speaker's voice to check their character and control access to administrations, for example voice diali...

This study evaluated the effect of increasing the number of processing channels from 32- to 64-signal processing channels on subjects' loudness comfort and satisfaction, sentence recognition, and sound quality of his or her own voice. Ten experienced hearing aid users with mild-to-moderate sensorineural hearing loss wore behind-the-ear (BTE) hearing aids with Adaptive Dynamic Range Optimization...