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A source impedance compensated artificial voice for mask speech intelligibility testing: Thevenin model.

This paper describes the development of a Thevenin model of the human voice for mask speech intelligibility testing. The following steps were used to develop the Thevenin model: (1) the long-term average speech spectrum of ten male speakers was measured; (2) the corresponding average vocal tract shape was estimated using linear prediction; (3) a Thevenin model of the voice was determined based on the vocal tract shape. Electroacoustic analogs are used to predict the mask speech spectra produced by the Thevenin model and a mouth simulator consisting of a loudspeaker equalized for free-air speech. Comparing the two spectra allows us to examine how the interaction between the driving point impedance of the voice and the load impedance of a mask affects objective speech intelligibility measurements. The Thevenin model is used in a voice simulator that is described in a future paper.

Humans↗

The voice clone intelligibility benefit in noise in middle-aged listeners.

Research with younger adults showed that cloned voices are more intelligible than human voices in noise, with a benefit of 13.4%. This study tested whether this benefit extends to 40 middle-aged listeners (45-65 years), as this population may show emerging difficulties with speech-in-noise. Participants recognised sentences by ten human voices and ten voice clones in four noise levels. Cloned voices were 11.8% more intelligible, with benefits enhanced at the two most severe noise levels (15.9% at -6 dB and 17.5% at -3 dB), suggesting cloned speech enhanced perception in middle-aged listeners, potentially by reducing listening effort and compensating for emerging age-related auditory-cognitive decline.

Humans↗

Infant vocalizations and their relationship to mature intelligence.

Correlations between infant development tests and later intelligence have been found previously to be very low. Through cluster analysis, six clusters of items were extracted from Bayley's California First Year Mental Scale. One item cluster composed principally of vocalizations did significantly correlate with girls' later intelligence, increasingly so with age, and more highly with verbal than performance scores.

Adolescent↗

The relation of infantile spasms, tubers, and intelligence in tuberous sclerosis complex.

BACKGROUND: The aetiology of the learning difficulty in tuberous sclerosis is debated. It may be related to the amount of tubers in the brain or caused by the infantile spasms that occur in early life. AIMS: To examine the relative contributions to final intelligence (IQ) made by both cerebral tubers and infantile spasms. METHODS: As part of an epidemiological study of tuberous sclerosis in the south of England, patients were recruited who were able to undergo magnetic resonance imaging (MRI) without the need for an anaesthetic. Epilepsy history was determined by interview and review of clinical records. IQ was assessed using either Wechsler intelligence scales or Raven's matrices. RESULTS: A total of 41 patients consented to have an MRI scan. IQ scores were normally distributed about a mean of 91. Twenty six patients had a positive history of epilepsy, and 11 had suffered from infantile spasms. There was a significant relation between the number of tubers and IQ. Infantile spasm status partly confounded the relation between tubers and IQ, but did not render the relation statistically insignificant. The relation between infantile spasms and learning difficulty remained strong even when controlling for the number of tubers.

Adolescent↗

Factors associated with lowered intelligence in homozygous sickle cell disease.

The intelligence quotient (IQ) of 60 patients with homozygous sickle cell (SS) disease and 60 age and sex matched controls with a normal haemoglobin (AA) genotype aged 15-18 years, followed up in a cohort study from birth, was assessed by the Wechsler intelligence scales for children or for adults. IQ appeared to be normally distributed in both genotypes but mean values in SS disease were 5.6 points (95% confidence interval (CI) 1.0 to 10.2) lower than in AA controls (p = 0.016). The difference occurred in both verbal (5.5 points, p = 0.017) and performance (5.0 points, p = 0.044) subscales of the IQ score and the IQ defect in SS disease was associated with a significantly lower attention factor score (p = 0.005) but not with other factor scores. The genotype difference in IQ was not accounted for by differences in parental occupational level, school absenteeism, or school drop out, or reported activity level. In SS disease, IQ was not related to mean steady state haemoglobin, fetal haemoglobin, or mean cell haemoglobin concentration, or clinical severity as judged by the frequency of painful crises, hospital admission, or sick visits. IQ, at age 15-18 years, correlated with the patients' height at all ages from 1 to 10 years (partial correlations increasing from 0.14 (p = 0.15) at age 1 to 0.27 (p = 0.004) at age 10). Adjusting for height reduced the mean genotype difference in IQ to 5.5 (95% CI 0.6 to 10.3) points at age 1 and to 2.6 points (95% CI to -2.3, 7.5) at age 10. Prepubertal height therefore accounted for much of the genotype difference in IQ. It is speculated that early factors, possible nutritional, contribute to both impaired growth and mental development in sickle cell disease.

Adolescent↗

Relation between biochemical severity and intelligence in early treated congenital hypothyroidism: a threshold effect.

OBJECTIVES: To assess whether early treatment of congenital hypothyroidism fully prevents intellectual impairment. DESIGN: A national register of children with congenital hypothyroidism who were compared with unaffected children from the same school classes and matched for age, sex, social class, and first language. SETTING: First three years (1982-4) of a neonatal screening programme in England, Wales, and Northern Ireland. SUBJECTS: 361 children with congenital hypothyroidism given early treatment and 315 control children. MAIN OUTCOME MEASURES: Intelligence quotient (IQ) measured at school entry at 5 years of age with the Wechsler preschool and primary scale of intelligence. RESULTS: There was a discontinuous relation between IQ and plasma thyroxine concentration at diagnosis, with a threshold at 42.8 nmol/l (95% confidence interval 35.2 to 47.1 nmol/l). Hypothyroid children with thyroxine values below 42.8 nmol/l had a mean IQ 10.3 points (6.9 to 13.7 points) lower than those with higher values and than controls. None of the measures of quality of treatment (age at start of treatment (range 1-173 days), average thyroxine dose (12-76 micrograms in the first year), average thyroxine concentration during treatment (79-234 nmol/l in the first year), and thyroxine concentration less than 103 nmol/l at least once during the first year) influenced IQ at age 5. CONCLUSIONS: Despite early treatment in congenital hypothyroidism the disease severity has a threshold effect on brain development, probably determined prenatally. The 55% of infants with more severe disease continue to show clinically significant intellectual impairment; infants with milder disease show no such impairment. The findings predict that 10% of early treated infants with severe hypothyroidism, compared with around 40% of those who presented with symptoms in the period before screening began, are likely to require special education.

Child, Preschool↗

Randomised trial of early diet in preterm babies and later intelligence quotient.

OBJECTIVES: To determine whether perinatal nutrition influences cognitive function at 7 1/2 - 8 years in children born preterm. DESIGN: Randomised, blinded nutritional intervention trial. Blinded follow up at 7 1/2 - 8 years. SETTING: Intervention phase in two neonatal units; follow up in a clinic or school setting. SUBJECTS: 424 preterm infants who weighed under 1850 g at birth; 360 of those who survived were tested at 7 1/2 - 8 years. INTERVENTIONS: Standard infant formula versus nutrient enriched preterm formula randomly assigned as sole diet (trial A) or supplements to maternal milk (trial B) fed for a mean of 1 month. MAIN OUTCOME MEASURES: Intelligence quotient (IQ) at 7 1/2 - 8 years with abbreviated Weschler intelligence scale for children (revised). RESULTS: There was a major sex difference in the impact of diet. At 7 1/2 - 8 years boys previously fed standard versus preterm formula as sole diet had a 12.2 point disadvantage (95% confidence interval 3.7 to 20.6; P<0.01) in verbal IQ. In those with highest intakes of trial diets corresponding figures were 9.5 point disadvantage and 14.4 point disadvantage in overall IQ (1.2 to 17.7; P<0.05) and verbal IQ (5.7 to 23.2; P<0.01). Consequently, more infants fed term formula had low verbal IQ (<85): 31% versus 14% for both sexes (P=0.02) and 47% versus 13% in boys P=0.009). There was a higher incidence of cerebral palsy in those fed term formula; exclusion of such children did not alter the findings. CONCLUSIONS: Preterm infants are vulnerable to suboptimal early nutrition in terms of their cognitive performance--notably, language based skills--at 7 1/2 - 8 years, when cognitive scores are highly predictive of adult ones. Our data on cerebral palsy generate a new hypothesis that suboptimal nutritional management during a critical or plastic early period of rapid brain growth could impair functional compensation in those sustaining an earlier brain insult. Cognitive function, notably in males, may be permanently impaired by suboptimal neonatal nutrition.

Breast Feeding↗

Artificial intelligence in medicine: the challenges ahead.

The modern study of artificial intelligence in medicine (AIM) is 25 years old. Throughout this period, the field has attracted many of the best computer scientists, and their work represents a remarkable achievement. However, AIM has not been successful-if success is judged as making an impact on the practice of medicine. Much recent work in AIM has been focused inward, addressing problems that are at the crossroads of the parent disciplines of medicine and artificial intelligence. Now, AIM must move forward with the insights that it has gained and focus on finding solutions for problems at the heart of medical practice. The growing emphasis within medicine on evidence-based practice should provide the right environment for that change.

Artificial Intelligence↗

Influence of fatness, intelligence, education and sociodemographic factors on response rate in a health survey.

STUDY OBJECTIVE: The aim was to investigate the characteristics of non-responders to an invitation to attend a health examination. DESIGN: Taking advantage of an ongoing study of obesity, this was a survey of a cohort of severely obese men, with a randomly selected control group. PARTICIPANTS: The participants were draftees to the compulsory Danish military draft board examination between 1943 and 1977. Among 362,200 draftees, 1940 were identified as severely obese (body mass index greater than or equal to 31 kg/m2). A comparison group of 1801 subjects was randomly drawn from the remaining population. During the period 1981-3 those still alive and living in the same region (1651 obese, 1504 control) were invited to a health examination. MEASUREMENTS AND MAIN RESULTS: The examination was attended by 964 obese (58%) and 1134 controls (75%). In both groups an increasing response rate was associated with decreasing body mass index, and increasing intelligence test score, educational level, current social class, age (up to 50 years) and proximity of residence. Logistic regression analysis showed that all these variables had independent effects on response rate. Frequency and duration of hospital admissions during the period 1977-82 did not differ among responders and non-responders in either group. CONCLUSION: Response rates in health surveys are strongly influenced by degree of fatness, intelligence, educational level, social class, age, and proximity of residence.

Adult↗

Frequency and replication status of the fragile X, fra(X)(q27-28), in a pair of monozygotic twins of markedly differing intelligence.

Chromosome analysis using conventional staining, G banding, and, after BUdR incorporation, two R banding methods, one using Hoechst and one acridine orange, were performed on lymphocytes from a pair of female monozygotic twins. The culture conditions were designed to show the presence of the fragile X (q27-28) which had previously been found to be segregating in the family. One twin was of higher than normal intelligence and the other had been diagnosed as mentally retarded. The frequency of the occurrence of the early/active fragile X compared to the overall total of informative fragile X was determined using both methods described above and was also compared with previous published data in the form of a graph showing percentage of early/active fragile X against intelligence.

Adult↗

Intelligence and psychosocial adjustment in velocardiofacial syndrome: a study of 37 children and adolescents with VCFS.

We report data on a group of 37 VCFS patients with specific reference to their intelligence, behaviour, and social competence. Fifty five percent of the children had a borderline to normal IQ. Mental retardation (defined as IQ < 70 or > -2 SD below the mean) was found in 45%. In the majority, the mental retardation was mild (38%) and only two patients had moderate mental retardation. Severe mental retardation seems to be rare in VCFS. The present study shows also that the incidence of mental retardation is much higher in the familial than the de novo group. Intelligence is not correlated with the presence or absence of a heart defect. Significantly higher verbal IQs than performance IQs (probably related to deficits in visuospatial-perceptual functioning) were found. Problems in social-emotional functioning and attention were also found. Further longitudinal studies are necessary to provide an accurate prognosis and appropriate intervention for VCFS children.

Abnormalities, Multiple↗

Familial cerebral palsy associated with normal intelligence.

We describe two families affected by a recessively transmitted familial cerebral palsy with onset in infancy. Two sisters in the first family have a severe spastic diplegia. The older sister also has mild mental retardation and hypothyroidism whilst the younger sister is of normal intelligence. Two brothers in the second family have a spastic quadriparesis, fifth finger camptodactyly and normal intelligence.

Adolescent↗

Artificial intelligence in radiology: decision support systems.

Computer-based systems that incorporate artificial intelligence techniques can help physicians make decisions about their patients' care. In radiology, systems have been developed to help physicians choose appropriate radiologic procedures and to formulate accurate diagnoses. These decision support systems use techniques such as rule-based reasoning, artificial neural networks, hypertext, Bayesian networks, and case-based reasoning. This article reviews these artificial intelligence techniques, describes their application in radiology, and discusses the role that decision support systems may play in radiology's future.

Artificial Intelligence↗

Minimum audible angle, just noticeable interaural differences and speech intelligibility with bilateral cochlear implants using clinical speech processors.

Sound localization and speech intelligibility were assessed in 5 patients implanted bilaterally with Medel C40+ or Medel C40 cochlear implant (CI) systems. The minimum audible angle (MAA) around the head in the horizontal plane was assessed in patients with bilateral CI using white noise bursts of 1000 ms duration presented from a loudspeaker mounted on a rotating boom and compared with the MAA of age-matched normal hearing controls. Spatial discrimination was found to be good in front and in the back of the head with near-normal MAA values (patients: 3-8 degrees , controls: 1-4 degrees ). In contrast, poor performance on the sides was found (patients: 30 to over 45 degrees , controls 7-10 degrees ). Bilateral CI significantly improved spatial discrimination in front for all patients, when compared with the use of either CI alone. Just noticeable differences (JNDs) in interaural intensity and time were assessed using white noise bursts (1000 ms duration; 50 ms linear ramp). In addition, interaural time JNDs were assessed using click trains (800 ms duration, 40 mus clicks, 50 Hz) and noise bursts in which either only the envelope or only the fine structure was shifted in time. In comparison with normal hearing controls, patients with bilateral CI showed near-normal interaural intensity JNDs but substantially poorer interaural time JNDs depending on the type of stimulus. In contrast to envelope onset/offset cues, interaural fine structure time differences were not perceived by the patients using CI systems employing the continuous interleaved sampling strategy without synchronization between their pulse stimulation times. Speech intelligibility in quiet and CCITT noise from the side (+/-90 degrees ) was assessed using the German HSM sentence test and was significantly better when using bilateral CI in comparison with either unilateral CI, mainly due to a head shadow effect. These favorable results are in agreement with the patients' subjective experiences assessed with a questionnaire and support the use of bilateral CI.

Adolescent↗

Acceptability and intelligibility of tracheoesophageal speech using the Groningen valve.

This prospective study was set up to investigate the acceptability and intelligibility of speech produced by a population of male patients who had undergone total laryngectomy for malignant disease in Sheffield. Each had been fitted with at least 1 Groningen tracheoesophageal prosthesis and their phonatory qualities were assessed by a team of 8 naive listeners. Speech quality assessed in terms of acceptability and intelligibility was found to be generally very high and compares favourably with that produced by a population of patients using the Blom-Singer prosthesis.

Aged↗

New robotics: design principles for intelligent systems.

New robotics is an approach to robotics that, in contrast to traditional robotics, employs ideas and principles from biology. While in the traditional approach there are generally accepted methods (e. g., from control theory), designing agents in the new robotics approach is still largely considered an art. In recent years, we have been developing a set of heuristics, or design principles, that on the one hand capture theoretical insights about intelligent (adaptive) behavior, and on the other provide guidance in actually designing and building systems. In this article we provide an overview of all the principles but focus on the principles of ecological balance, which concerns the relation between environment, morphology, materials, and control, and sensory-motor coordination, which concerns self-generated sensory stimulation as the agent interacts with the environment and which is a key to the development of high-level intelligence. As we argue, artificial evolution together with morphogenesis is not only "nice to have" but is in fact a necessary tool for designing embodied agents.

Artificial Intelligence↗

Effect of cognitive impairment and premorbid intelligence on treatment preferences for life-sustaining medical therapy.

OBJECTIVE: This study examines the influence of cognitive impairment, premorbid intelligence, and decision-making capacity to complete advance directives on the treatment preferences for life-sustaining medical therapy in the elderly. METHOD: One hundred elderly individuals were recruited. Fifty were first referrals to specialist services with a DSM-IV diagnosis of dementia, and 50 were volunteers. Each person was asked about treatment preferences in three clinical vignettes. RESULTS: Elderly individuals who had cognitive impairment and were incapable of completing advance directives were significantly more likely to opt for life-sustaining interventions. There was no association between premorbid intelligence and treatment preferences. CONCLUSIONS: Cognitive impairment appears to influence treatment preferences for life-sustaining medical therapy. With increasing cognitive impairment, elderly individuals tend to opt for treatment interventions.

Advance Directives↗

On working through: a model from artificial intelligence.

Working through is centrally important to clinical psychoanalysis. It is inadequately explained in analytic theory. An artificial intelligence model of the process is proposed. Models of problem solving show that the complexity of necessary computation is an important determinant of how a problem is solved. Not optimal, but only good enough solutions are usually found. The quality of solutions depends on the time and resources available. Generally it is far easier to use existing methods than to develop new approaches. When problems must be solved in an emergency fashion, as in trauma, poor solutions are likely to emerge. In studying the annealing of metals and other complex optimization problems, a process, the Boltzman algorithm, was discovered, which continues the search for better solutions while gradually developing a coherent structure of the overall solution. The algorithm provides a model both for psychoanalytic working through and for the normally ongoing process of psychological development and reworking whose deficiency is characteristic of much psychopathology. Working through in the analytic situation is the reactivation of this normal process, and a good analytic outcome is achieved when the process can continue without the analyst. Properties of the Boltzman algorithm clarify such concepts as "optimal" frustration and anxiety which correspond to working in the area where the stable but not rigid structures emerge in the algorithms operation. These studies are an example of how computer science and artificial intelligence are a potentially rich source for psychoanalytic theory.

Algorithms↗