959 resultados para Speech language therapy


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Medical fields requires fast, simple and noninvasive methods of diagnostic techniques. Several methods are available and possible because of the growth of technology that provides the necessary means of collecting and processing signals. The present thesis details the work done in the field of voice signals. New methods of analysis have been developed to understand the complexity of voice signals, such as nonlinear dynamics aiming at the exploration of voice signals dynamic nature. The purpose of this thesis is to characterize complexities of pathological voice from healthy signals and to differentiate stuttering signals from healthy signals. Efficiency of various acoustic as well as non linear time series methods are analysed. Three groups of samples are used, one from healthy individuals, subjects with vocal pathologies and stuttering subjects. Individual vowels/ and a continuous speech data for the utterance of the sentence "iruvarum changatimaranu" the meaning in English is "Both are good friends" from Malayalam language are recorded using a microphone . The recorded audio are converted to digital signals and are subjected to analysis.Acoustic perturbation methods like fundamental frequency (FO), jitter, shimmer, Zero Crossing Rate(ZCR) were carried out and non linear measures like maximum lyapunov exponent(Lamda max), correlation dimension (D2), Kolmogorov exponent(K2), and a new measure of entropy viz., Permutation entropy (PE) are evaluated for all three groups of the subjects. Permutation Entropy is a nonlinear complexity measure which can efficiently distinguish regular and complex nature of any signal and extract information about the change in dynamics of the process by indicating sudden change in its value. The results shows that nonlinear dynamical methods seem to be a suitable technique for voice signal analysis, due to the chaotic component of the human voice. Permutation entropy is well suited due to its sensitivity to uncertainties, since the pathologies are characterized by an increase in the signal complexity and unpredictability. Pathological groups have higher entropy values compared to the normal group. The stuttering signals have lower entropy values compared to the normal signals.PE is effective in charaterising the level of improvement after two weeks of speech therapy in the case of stuttering subjects. PE is also effective in characterizing the dynamical difference between healthy and pathological subjects. This suggests that PE can improve and complement the recent voice analysis methods available for clinicians. The work establishes the application of the simple, inexpensive and fast algorithm of PE for diagnosis in vocal disorders and stuttering subjects.

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A connected digit speech recognition is important in many applications such as automated banking system, catalogue-dialing, automatic data entry, automated banking system, etc. This paper presents an optimum speaker-independent connected digit recognizer forMalayalam language. The system employs Perceptual Linear Predictive (PLP) cepstral coefficient for speech parameterization and continuous density Hidden Markov Model (HMM) in the recognition process. Viterbi algorithm is used for decoding. The training data base has the utterance of 21 speakers from the age group of 20 to 40 years and the sound is recorded in the normal office environment where each speaker is asked to read 20 set of continuous digits. The system obtained an accuracy of 99.5 % with the unseen data.

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Este recurso describe cómo una proporción significativa de niños en edad escolar tienen dificultades en el habla y cómo éstas afectan negativamente en su aprendizaje, tanto en entornos especializados como en generales. En él se esbozan las principales áreas de dificultad para los alumnos, y sugiere cómo los profesores pueden hacer que el programa sea más accesible para facilitar el aprendizaje. Se tratan el lenguaje expresivo, el lenguaje receptivo, el uso social del lenguaje y dificultades en el desarrollo de la coordinación, así como temas específicos como el plan de estudios de inglés, matemáticas y ciencias. A lo largo de la publicación hay información e ideas para apoyar a estos alumnos, y una amplia selección de sugerencias de buenas prácticas. Se incluye un programa de habilidades motoras, rimas para la producción del habla, trabajo de memoria, y páginas fotocopiables de diccionario.

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Este manual presenta las ideas actuales sobre la relación entre lo hablado y lo escrito y sus dificultades lingüísticas. Proporciona perspectivas clínicas y educativas sobre la evaluación y gestión de lectura y ortografía de los niños. Comienza con una introducción teórica y sigue con la vinculación entre teoría y práctica. Está dirigido a los profesionales en los campos de educación, intervención y terapia del lenguaje, y psicología.

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This paper resulted in the Urdu language version of the Early Speech Perception Test(ESP).

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This paper contains a speech discrimination test in the Russian language composed of fifty known Russian monosyllables.

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This paper discusses a study to compare test results of the CID GAEL test among hearing impaired children who are enrolled in cued speech vs. oral vs. signed english programs.

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This study examines the purpose and uses of Cued Speech, its benefits and limitations, and its effectiveness as a tool for language, literacy, and bilingualism.

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This paper reviews a study done to determine the correlation between lipreading, auditory speech perception, language abilities, and hearing loss levels in hearing impaired children.

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This paper discusses the effects of conducive hearing loss on language development.

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This paper discusses the early identification and assessment of children younger than six who were referred to the Central Institute for the Deaf Speech and Hearing Clinic.

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In order to explore the impact of a degraded semantic system on the structure of language production, we analysed transcripts from autobiographical memory interviews to identify naturally-occurring speech errors by eight patients with semantic dementia (SD) and eight age-matched normal speakers. Relative to controls, patients were significantly more likely to (a) substitute and omit open class words, (b) substitute (but not omit) closed class words, (c) substitute incorrect complex morphological forms and (d) produce semantically and/or syntactically anomalous sentences. Phonological errors were scarce in both groups. The study confirms previous evidence of SD patients’ problems with open class content words which are replaced by higher frequency, less specific terms. It presents the first evidence that SD patients have problems with closed class items and make syntactic as well as semantic speech errors, although these grammatical abnormalities are mostly subtle rather than gross. The results can be explained by the semantic deficit which disrupts the representation of a pre-verbal message, lexical retrieval and the early stages of grammatical encoding.