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Speech

Speech refers to the production and articulation of spoken language.
It involves the coordinated movements of the respiratory, phonatory, and articulatory systems to generate verbal communication.
Speech is a complex process that requires the integration of cognitive, linguistic, and motor functions.
Disorders in speech can arise from various neurological, structural, or developmental conditions, affecting an individual's ability to effectively communicate.
Understanding the mechanisms of speech production and the factors that influence it is crucial for the diagnosis, treatment, and rehabilitation of speech-related disorders.
Ongoing research in this field aims to expand our knowledge of speech and develop innovative strategies to enhance speech capabilities and improve the quality of life for individuals with speech impairments.

Most cited protocols related to «Speech»

Genomes were taxonomically selected by querying the INSDC databases for all species names assigned to families of prokaryotic virus in the third version of the 2014 ICTV master species list (https://talk.ictvonline.org/files/master-species-lists/) (King et al., 2012 ), which contained a total of 548 species, 103 genera, 7 subfamilies and 18 families; we did not observe a new version in 2017 that contained more taxa. Using all available whole-genome sequences of prokaryotic viruses instead would enrich the dataset with informal taxon names that could hardly be compared with each other and to the formally accepted names in the ICTV master list. Genomes assigned to species sensu lato were also removed. The collected data were further restricted to complete genome sequences containing protein annotation. Duplicate genomes (due to distinct annotation versions) were detected using MD5 checksums calculated from their nucleotide sequences and only the version with most protein sequences kept. The reference dataset is listed in Supplementary File S1.
Publication 2017
Amino Acid Sequence Base Sequence Genome Prokaryotic Cells Protein Annotation Speech Viral Genome Virus

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Publication 2016
Reflex Speech Therapeutics
To test this methodology, we downloaded the entire NCBI viral reference dataset (“ViralRefSeq”, version 75, containing 5539 viruses) and removed eukaryotic viruses by filtering against tables downloaded on NCBI’s ViralRefSeq viral genome page (http://www.ncbi.nlm.nih.gov/genomes/GenomesGroup.cgi?taxid=10239). The resulting file (“Bacterial and Archaeal viruses”; BAV) contained 2,010 total viruses; 1,905 dsDNA, 88 ssDNA, 5 dsRNA and 12 ssRNA. All viruses contained taxonomic affiliation information, though not all viruses had affiliations associated with each level of the taxonomy (e.g., not all viruses have a “sub-family” designation). To improve taxonomic assignments, the ICTV taxonomy was also retrieved (https://talk.ictvonline.org/files/master-species-lists/) and the ICTV affiliations were used to supplement the NCBI data.
Publication 2017
Archaeal Viruses Bacteria Dietary Supplements DNA, Double-Stranded DNA, Single-Stranded Eukaryota Genome RNA, Double-Stranded Speech Viral Genome Virus
The consensus process incorporated a three-step modified Delphi method [18 (link), 19 ], which took place between January and April 2015. The Delphi method is recommended for use in the healthcare setting as a reliable means of determining consensus for a defined clinical problem [20 (link)–25 (link)]. This method is an iterative process that uses a systematic progression of repeated rounds of voting and is an effective process for determining expert group consensus where there is little or no definitive evidence and where opinion is important [21 ]. Initially, a comprehensive list of items was identified and consensus was built from the feedback provided by expert participants from the preceding rounds. The modified Delphi method consisted of two rounds of email questionnaires and a final face-to-face meeting. The final face-to-face meeting was not a component of the original Delphi method developed by Dalkey and Helmer [19 ] in 1963; rather, it was adopted from the modified Ebel procedure [26 –28 (link)] and is also known as the Estimate-Talk-Estimate process [29 (link)]. The modified Delphi method was chosen because it allowed for expert interaction in the final round. This allowed members of the panel to provide further clarification on some matters and present arguments in order to justify their viewpoints. Studies have demonstrated that the modified Delphi method can be superior to the original Delphi method and perceived as highly cooperative and effective [29 (link), 30 (link)]. This technique is also often used in the health field for helping groups of experts develop multi-attribute models [31 ]. Since a goal of this study was to develop a clinical pathway algorithm, the final face-to-face meeting facilitated the development of decision tree approaches to healthcare treatment that would have been difficult to complete using original Delphi methodology. Ethics approval for this study was provided by the Conjoint Health Research Ethics Board at the University of Calgary.
Publication 2016
Disease Progression Face Health Services Administration Speech
As this was primarily a feasibility study, primary outcomes were those that related to the acceptability of the intervention to participants and the feasibility of trialling the intervention in a larger study. The acceptability and feasibility outcomes are as follows:

Acceptability was measured by the proportion of patients approached and consented and the number of sessions attended. Retention rates and reasons for drop out was documented. We aimed for a 50% recruitment rate for CB-EST to be deemed an acceptable treatment.

Feasibility and fidelity were measured by assessing whether the intervention could be delivered as planned, by a SLT with CBT training. Session content and treatment plans, recorded in patients’ notes were evaluated by a CBT expert practitioner as part of supervision, reliability and validity checking. Content analysis of sessions including a) whether a therapy goal was identified b) whether a CBT formulation was identified c) whether cognitive and/or behaviour change techniques were used. These outcomes would also indicate the acceptability of the intervention to patients.

A selection of candidate measures targeting swallowing self-report, dietary restrictions, quality of life, functioning and mood were chosen to identify appropriate tools to capture CB-EST outcomes. Acceptability to patients was monitored by percentage data completion. The measures listed below and were administered pre-, immediately following CB-EST, and at three months.

The MDADI [13 ] has twenty items, each marked using a five-point scale and summarised using a total score (range 20–100). Higher scores indicate a better outcome and a change in ≥10 points is considered a clinically significant difference [15 ].

The European Organization for Research and Treatment of Cancer questionnaires (EORTC QLQ-C30) [16 (link)] is a general quality of life questionnaire with 30 items, five functioning scales (physical, role, emotional, cognitive, and social), three symptom scales. The EORTC QLQ-H&N35 is a disease-specific module of 35 questions divided into 7 subscales about pain, swallowing, senses, speech, social eating, social contact, and sexuality. Higher scores on the functional scales refer to better health status, whereas higher scores in symptom scales and the QLQ-H&N35 represent more severe symptoms.

Chalder Fatigue Questionnaire (CFQ-11) [17 (link)] measures fatigue severity. Eleven items are answered on a four-point scale (range 0–33), with high scores representing more fatigue.

Work and Social Adjustment Scale(WASA) [18 (link)] measures functional and social impairment. Five questions are answered on a nine-point scale (range 0–40) with higher scores indicating more impairment.

Hospital Anxiety and Depression Scale (HADS) [19 (link)] has two seven item subscales measuring anxiety (HADS-A) and depression (HADS-D). Each item is scored on a four-point scale (range 0–21 for each subscale). Subscale scores 0–7 classify participants as non-cases, 8–10 indicates borderline cases, and scores ≥11 indicate clinical levels. Total HADS scores (HADS-T) ≥ 15 indicate clinically significant distress.

Performance Status Scales (PSS) Normalcy of Diet [20 (link)] measures diet texture restrictions and is clinician-rated. The scale has ten ranked categories ranging from 0 (nil by mouth) to 100 (full diet without restrictions).

The presence of a feeding tube was recorded at the same time points. The sensitivity of the candidate measures was tested by making preliminary estimates of change from pre- to post CB-EST. Data were analysed using SPSS v21 (Chicago, Illinois). We used a one way within subjects repeated measures analysis of variance complete case model. The level for statistical significance was set at 0.05. Bonferroni’s test was used for multiple post hoc comparisons. Means are reported with standard deviations and 95% confidence intervals.

The acceptability and feasibility of delivering CB-EST as-was or modifying it for a larger trial was further assessed using semi-structured interviews. Patients were purposively sampled to ensure a range of pre to post CB-EST changes in MDADI scores, a range of HNSCC treatment and time post-treatment. Patients were selected from those at the initial stages of CB-EST and at the end of CB-EST. Interviews were conducted by two independent researchers. Patients had the option of a telephone or face to face interview, at a time and place of their choice. All interviews were digitally recorded, transcribed verbatim and anonymised. Transcripts were read several times and in detail by the qualitative sub-team. Data were then discussed and coded using thematic analysis. Quotations relating to afore mentioned topics were independently selected and coded into key issues and themes.

Publication 2018
Anxiety Behavior Therapy Cognition Diet Dietary Restriction Emotions Europeans Face Fatigue Hypersensitivity Infantile Neuroaxonal Dystrophy Malignant Neoplasms Mood Oral Cavity Pain Patients Physical Examination Retention (Psychology) Speech Squamous Cell Carcinoma of the Head and Neck Supervision Tube Feeding

Most recents protocols related to «Speech»

Not available on PMC !

Example 3

The user 600 drives through Helsinki but deviates from the normal route and drives to streets the user 600 has never driven before. The electronic device 100 notices anomaly in the driving pattern and uses its associative memory of the travelled normal paths to compare current path with the old paths. The interaction between the electronic device 100 and the user 600 goes as follows:

    • The electronic device 100 notices anomaly in the driving pattern of the user 600.
    • The electronic device 100 provides a question to the user 600 by speech synthesis: Are you lost?
    • The user 600 responds to the question: Yes.
    • The electronic device 100 provides a new question to the user 600 based on the response by speech synthesis: Do you need help getting back to your known routes?
    • The user 600 responds to the question: Yes.
    • The electronic device 100 therefore knows that user 600 is lost and the detour is not intentional. The electronic device 100 uses a GPS program and gives the nearest location in the known path as the destination point and starts the navigation with the navigation program.
    • The user 600 gets instructions from the navigation program and gets back to the familiar path.
    • The electronic device 100 knows the task is completed when the user 600 is back on the known path.

Patent 2024
Anabolism Medical Devices Memory Speech
Not available on PMC !

Example 1

It is Tuesday evening and the user 600 is walking towards the bus stop of Ruoholahti, Finland. From previous experience it can be predicted that a user 600 might be getting into bus and might be interested in bus time tables. However, this time the user 600 is not going to the bus, but instead waiting for a taxi-ride from the bus stop. The interaction between the electronic device 100 and the user 600 go as follows:

    • The electronic device 100 predicts that the user is not sure whether he will take the bus.
    • The electronic device 100 provides a question to the user 600 by speech synthesis: Are you going to bus? The electronic device 100 provides the question because the electronic device 100 does not know the answer and would give misleading information if it relied on the prediction.
    • The user 600 responds to the question: No.
    • The electronic device 100 concludes that the user 600 is not going by bus and therefore does not offer a bus time table to the user 600.

Patent 2024
Anabolism Conclude Resin Medical Devices Speech
Not available on PMC !

Example 2

It is Tuesday evening and the user 600 is walking towards the bus stop of Ruoholahti, Finland. From previous experience and context information the electronic device 100 predicts that the user 600 might take the bus and might be interested in bus time tables. However, this is not always the case and the electronic device 100 is not sure. However, this time the user 600 is indeed going to take the bus. The interaction between the electronic device 100 and the user 600 goes on as follows:

    • The electronic device 100 does a prediction that the user 600 will go with the bus as the likely next action of the user 600.
    • The electronic device 100 provides a question to the user 600 by speech synthesis: Are you going to the bus?
    • The user 600 responds to the question: Yes.
    • The electronic device 100 predicts that user 600 is heading towards home when going to this particular bus stop at this time and presents information to the user 600 in a display or as speech: Bus 160K will arrive at the bus stop in one minute from now, please hurry if you are going to catch it.

Patent 2024
Anabolism Medical Devices Speech
Workplace isolation was measured with the ten-item scale developed by Marshall et al60 (link) Sample items are “I have friends available to me at work”, “I have one or more co-workers available who I talk to about day-to-day problems at work”, “I am well integrated with the department/company where I work”, “Upper management knows about my achievements” (Cronbach’s α=0.944).
Publication 2023
Friend isolation Speech Workers
Authorizations for reporting these three cases were granted by the Eastern Ontario Regional Forensic Unit and the Laboratoire de Sciences Judiciaires et de Médecine Légale du Québec.
The sampling followed a relatively standardized protocol for all TBI cases: samples were collected from the cortex and underlying white matter of the pre-frontal gyrus, superior and middle frontal gyri, temporal pole, parietal and occipital lobes, deep frontal white matter, hippocampus, anterior and posterior corpus callosum with the cingula, lenticular nucleus, thalamus with the posterior limb of the internal capsule, midbrain, pons, medulla, cerebellar cortex and dentate nucleus. In some cases, gross pathology (e.g. contusions) mandated further sampling along with the dura and spinal cord if available. The number of available sections for these three cases was 26 for case1, and 24 for cases 2 and 3.
For the detection of ballooned neurons, all HE or HPS sections, including contusions, were screened at 200×.
Representative sections were stained with either hematoxylin–eosin (HE) or hematoxylin-phloxin-saffron (HPS). The following histochemical stains were used: iron, Luxol-periodic acid Schiff (Luxol-PAS) and Bielschowsky. The following antibodies were used for immunohistochemistry: glial fibrillary acidic protein (GFAP) (Leica, PA0026,ready to use), CD-68 (Leica, PA0073, ready to use), neurofilament 200 (NF200) (Leica, PA371, ready to use), beta-amyloid precursor-protein (β-APP) (Chemicon/Millipore, MAB348, 1/5000), αB-crystallin (EMD Millipore, MABN2552 1/1000), ubiquitin (Vector, 1/400), β-amyloid (Dako/Agilent, 1/100), tau protein (Thermo/Fisher, MN1020 1/2500), synaptophysin (Dako/Agilent, ready to use), TAR DNA binding protein 43 (TDP-43) ((Protein Tech, 10,782-2AP, 1/50), fused in sarcoma binding protein (FUS) (Protein tech, 60,160–1-1 g, 1/100), and p62 (BD Transduc, 1/25). In our index cases, the following were used for the evaluation of TAI: β-APP, GFAP, CD68 and NF200; for the neurodegenerative changes: αB-crystallin, NF200, ubiquitin, tau protein, synaptophysin, TDP-43, FUS were used.
For the characterization of the ballooned neurons only, two cases of fronto-temporal lobar degeneration, FTLD-Tau, were used as controls. One was a female aged 72 who presented with speech difficulties followed by neurocognitive decline and eye movement abnormalities raising the possibility of Richardson’s disorder. The other was a male aged 67 who presented with a primary non-fluent aphasia progressing to fronto-temporal demαentia. In both cases, the morphological findings were characteristic of a corticobasal degeneration.
Publication 2023
Amyloid beta-Protein Precursor Amyloid Proteins Antibodies Broca Aphasia Cloning Vectors Congenital Abnormality Contusions Corpus Callosum Cortex, Cerebellar Cortex, Cerebral Corticobasal Degeneration Crystallins Dura Mater Eosin Eye Abnormalities Eye Movements Frontotemporal Lobar Degeneration FUBP1 protein, human Glial Fibrillary Acidic Protein Hematoxylin Immunohistochemistry Internal Capsule Iron Males Medial Frontal Gyrus Medulla Oblongata Mesencephalon Movement Movement Disorders neurofilament protein H Neurons Nucleus, Dentate Nucleus, Lenticular Occipital Lobe Periodic Acid phloxine Pons Proteins protein TDP-43, human RNA-Binding Protein FUS Saffron Sarcoma Seahorses Speech Spinal Cord Staining Synaptophysin Temporal Lobe Thalamus Ubiquitin White Matter Woman

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The QuickSIN is a speech-in-noise test equipment designed to measure a person's ability to understand speech in the presence of background noise. The device provides a standardized and quantitative assessment of a person's signal-to-noise ratio (SNR) loss, which is a key indicator of hearing function in noisy environments.
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More about "Speech"

Verbal Communication, Phonation, Articulation, Speech Production, Speech Disorders, Speech Impairments, Speech Rehabilitation, Speech Research, Speech Analysis, Speech Synthesis, Speech Recognition, Speech Therapy, Speech-Language Pathology, Voice Disorders, Vocal Cord Dysfunction, Apraxia of Speech, Dysarthria, Stuttering, Fluency Disorders, Hearing Impairment, Audiology, Acoustic Analysis, Signal Processing, MATLAB, SAS 9.4, Presentation Software, GSI 61, Adobe Audition, E-Prime, SPSS 26, SPSS Statistics 25, QuickSIN, HDA 200