Speech is the vocal utterance of language and it considered disordered in three underlying ways: voice, articulation, fluency, its disorder to be studied from same pattern. The features that should determining a voice are: Volume: how loudly or softly we speak, Pitch: pleasant unpleasant Quality: highness lowness one’s Rate: speed at which one speaks. Homeoapthic repertory shows these symptoms,...

A system of remotely detecting vocal fold pathologies using telephone quality speech is presented. Using VoiceXML, a database of 631 clean speech files of the sustained phonation of the vowel sound /a/ (58 normal subjects, 573 pathologic) from the Disordered Voice Database Model 4337 was transmitted over telephone channels to produce a test corpus. Pitch perturbation features, amplitude perturb...

BACKGROUND Phonological disorder. AIM To verify the phonological processes used by phonologically disordered children with and without family history of speech and language disorders; the association between the phonological processes; the difference between the Percentage of Correct Consonants-Revised (PCC-R) severity index regarding family history. METHOD Participants were 104 subjects--2...

A time-varying long-term bi-directional linear predictive analysis is proposed in the context of the acoustic assessment of disordered speech. It is shown that performing a forward and backward long-term linear prediction of each speech sample and retaining the minimal overall prediction error as a cue of vocal dysperiodicity obtains a signal-to-noise ratio that correlates with the perceived de...

This paper presents an approach to provide of lexical adaptation in Automatic Speech Recognition (ASR) of the disordered speech from a group of young impaired speakers. The outcome of an Acoustic Phonetic Decoder (APD) is used to learn new lexical variants of the 57-word vocabulary and add them to a lexicon personalized to each user. The possibilities of combination of this lexical adaptation w...

The purpose of the presentation is to give an overview of phonatory features of disordered voices and propose a classificatory framework. Generally speaking, phonatory features are numerical cues that summarize properties of speech signals or other voicerelated signals that are obtained noninvasively, and which are clinically relevant. The object of a classificatory framework is to ease the pla...

Clinical applications: Our research has enabled the construction of natural-sounding, personalised synthetic voices from recordings of speech from people with disordered speech due to conditions such as Parkinson’s disease or Motor Neurone Disease. These synthetic voices are used in assistive technology devices that allow sufferers of these conditions to communicate more easily and effectively....