Computer‐aided speech onset analysis in stuttering therapy
نویسندگان
چکیده
منابع مشابه
Similarities in speech and white matter characteristics in idiopathic developmental stuttering and adult-onset stuttering.
Adult-onset stuttering (AS) typically occurs following neurological and/or psychological trauma, considered different from developmental stuttering (DS), which starts during early childhood with few if any new cases reported after adolescence. Here we report four cases of AS, two with apparent psychological trigger and two without, none with evidence of neurological injury, and none conforming ...
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از محوری ترین اثراتی که یک فیلم سینمایی ایجاد می کند دیالوگ هایی است که هنرپیش گان فیلم میگویند. به زعم یک فیلم ساز, یک شیوه متأثر نمودن مخاطب از اثر منظوره نیروی گفتارهای گوینده, مثل نیروی عاطفی, ترس آور, غم انگیز, هیجان انگیز و غیره, است. این مطالعه به بررسی این مسأله مبادرت کرده است که آیا نیروی فراگفتاری هنرپیش گان به مثابه ی اعمال گفتاری در پنج فیلم هالیوودی در نسخه های دوبله شده باز تولید...
15 صفحه اولSpeech Evoked Auditory Brainstem Response in Stuttering
Auditory processing deficits have been hypothesized as an underlying mechanism for stuttering. Previous studies have demonstrated abnormal responses in subjects with persistent developmental stuttering (PDS) at the higher level of the central auditory system using speech stimuli. Recently, the potential usefulness of speech evoked auditory brainstem responses in central auditory processing diso...
متن کاملAcute-Onset Stuttering as a Stroke Mimic
Background and purpose: The acute onset of stuttering in an adult is not uncommon and rarely is caused by ischemic stroke. A neurologist is likely to encounter this presentation and it is important to identify distinguishing features between ischemic stroke and other causes. Adult-onset acquired stuttering is classified as either neurogenic if secondary to brain injury or psychogenic in the abs...
متن کاملAutomatic Detection of Stuttering in a Speech
In the work authors applied speech recognition techniques to find disfluent events. The recognition system based on the Hidden Markov Model Toolkit was built and tested. The set of context dependent HMM models was trained and used to locate speech disturbances. Authors were not concentrated on specific disfluency type but tried to find any extraneous sounds in a speech signal. Patients read pre...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1984
ISSN: 0001-4966
DOI: 10.1121/1.2021937