How do I set the time in noise on Colorfit NAV?
Answers from top 6 papers
02 Jan 2015-Chronobiology International
|Taken together, these results suggest that circadian control of ON-CBC function contains an initial phase after approximately 18–30 h of dark adaptation, leading to substantial changes in b-wave amplitude after a relatively short time in free run which are dependent on D1R modulation of Nav channels.|
20 Jan 2000-Electronics Letters
|Using the noise period we can reliably estimate the time-varying noise characteristics.|
Open access•Journal Article•DOI
06 Mar 2013-Journal of the Acoustical Society of America
|Ideal time-frequency (TF) masks can reject noise and improve the recognition of speech-noise mixtures.|
07 Dec 2015
|Specifically, our method outperforms existing state-of-the-art algorithms on estimating noise level with the least executing time in our experiments.|
|Our treatment of phase noise due to colored-noise sources is general, i. e., it is not specific to a particular type of colored-noise source.|
01 Jan 2015-Behaviour
|Our findings highlight for the first time the negative effect of traffic noise on colour signals.|
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What are the pitch characteristics of children in speech recognition?
3 answersThe pitch characteristics of children in speech recognition have been studied in several papers. Children's speech is found to have high values of pitch, abnormal spectrum, and well-marked high-frequency. The pitch of children's speech is generally higher than that of adults. The increase in pitch of children's speech leads to an increase in the dynamic range and variances of higher order coefficients of Mel frequency cepstral coefficient (MFCC) features. To address the pitch differences between adults and children, various techniques have been proposed, such as spectral smoothening, pitch reduction, and pitch-based spectrum normalization. These techniques aim to improve the performance of automatic speech recognition (ASR) systems trained on adults' speech for recognizing children's speech.How does external noise affect someone's memory?
5 answersExternal noise can have an impact on someone's memory. Studies have shown that increasing external noise does not affect the precision with which visual information can be recalled from working memory. However, meaningful external noise at low sound pressure levels can cause annoyance and decrease performance in mental tasks, such as short-term memory tasks. Additionally, external noise can lead to a shift in memory strategies employed by individuals. In the presence of noise, individuals with an external locus of control tend to decrease their use of higher-level semantic memory strategies and increase their use of lower-level perceptual strategies. Therefore, external noise can have negative effects on memory recall and the strategies used for memory tasks.What is the weather outside?
3 answersThe abstracts provided do not contain any information about the current weather conditions.How age affect in reading comprehension? 10 years?
3 answersAge has been found to have an impact on reading comprehension. Older adults may experience declines in certain component processes of comprehension, such as the ability to remember new text information, make inferences, access prior knowledge, and integrate prior knowledge with new information. However, it is important to note that some basic language processes, like reading comprehension, can remain preserved despite changes to brain integrity with aging. In the case of 10-year-old children, word reading skills (measured as access to orthographic representations) account for a modest amount of the variance in reading comprehension accuracy. However, when reading comprehension is conceptualized as rate (i.e., number of correct responses per minute), the correlation with word reading increases. Therefore, age can have different effects on reading comprehension depending on the specific age group being studied.How does inaccurate travel demand modeling forecasts affect transportation policy development or policy performance?
5 answersInaccurate travel demand modeling forecasts can have significant implications for transportation policy development and policy performance. These forecasts, generated by AI-based models, may introduce prediction biases and fairness issues, potentially exacerbating social inequalities in decision-making processes. Limited studies have focused on addressing the fairness issues of these models, highlighting the need for fairness-aware travel demand forecasting methodologies. Additionally, research has shown that measured traffic is often lower than forecasted volumes, with a mean absolute deviation of 17% from the forecast. Factors such as road volume, functional class, time span, and the use of travel models can influence forecast accuracy. Furthermore, the presence of infrequently large prediction errors can impact the performance of demand-responsive public transport systems, highlighting the importance of accurate demand predictions for effective operation.What are the key challenges that acoustic textiles face in the coming years?
5 answersAcoustic textiles face several key challenges in the coming years. One challenge is to enhance their performance characteristics to be comparable to conventional acoustic materials such as glass fibre mats and polyurethane foams. Another challenge is to minimize the damage inflicted on the environment throughout the whole life cycle of the textile product. Additionally, the electrical performance of textile circuits woven or knitted within a textile matrix presents unusual constraints due to the textile manufacturing process and the properties of the fibers used. Signal attenuation and the ability to form reliable interconnections are major challenges for distributed sensors connected via an electronic fabric. Furthermore, the competitiveness of products such as cars and washing machines is being considered in terms of noise levels, making noise control an important challenge for acoustic textiles.What materials are used for making acoustic textiles?
5 answersTextile materials are widely used for making acoustic textiles. These materials include natural and synthetic fibers, recycled materials, and nanomaterials. Various manufacturing techniques are employed to produce textile products for acoustic insulation, such as fibrous mats, needlepunched nonwovens, and polymer composites made of nonwovens. The porosity of textile structures is crucial for sound absorption, and efforts have been made to produce thick textile structures with sufficient porosity. Additionally, the combination of different textile structures is used to counter low-frequency noises. The use of chemicals and fillers, as well as the development of hybrid absorbers, are also explored in the field of acoustic textiles. Overall, textile materials offer a cheaper, simpler, and effective alternative to conventional acoustic materials for noise control applications.What is the impact of noise pollution on human health and environment?
5 answersNoise pollution has a significant impact on human health and the environment. It is considered an environmental pollutant that can cause both auditory and non-auditory effects on human health. The exposure to noise pollution can lead to hearing loss, tinnitus, psychological distress, sleep disturbances, hypertension, cardiovascular diseases, diabetes mellitus, headache, and pulmonary diseases. Noise pollution can also have negative effects on sensitive individuals such as autistic and elderly people. In addition to its impact on human health, noise pollution can also affect the environment by causing water, air, and soil pollution. It is important to address noise pollution through strategies and educational programs to reduce its potential negative effects on human health.Do executive function deficits or phonological deficits explain the observed differences between children with and without language impairment?
5 answersExecutive function deficits and phonological deficits both contribute to the observed differences between children with and without language impairment. Children with developmental language disorder (DLD) often have executive function deficits, including difficulties in updating, inhibiting, and shifting abilities. These deficits are associated with impaired language production and overall language difficulties in children with DLD. Additionally, phonological deficits are commonly observed in children with DLD, including difficulties in articulatory and phonological skills. However, it is important to note that not all children with DLD have executive function deficits or phonological deficits, indicating variability within the population. Therefore, both executive function deficits and phonological deficits contribute to the differences observed between children with and without language impairment, but they do not fully explain the variability within the DLD population.Does classroom-based oral activity have an effect on agitation in children with autism?
4 answersClassroom-based oral activity has been found to have an effect on agitation in children with autism. Research has shown that the acoustical design of classrooms can impact the behavior of children with autism, including repetitive speech and motor movement. Additionally, a tablet-based application for activity schedules has been shown to improve the execution of classroom and communication routines in children with autism. Furthermore, alterations in the salivary microbiome have been linked to autism spectrum disorder (ASD), suggesting that disruptions in the oral microbiome may contribute to behavioral changes in children with ASD. Interventions such as modified Cognitive Behavior Therapy (CBT) and Functional Behavior Analysis-Applied Behavior Analysis (FBA/ABA) have also been found to reduce anxiety in children with high-functioning autism and Asperger Syndrome, indirectly impacting agitation levels.What are the latest advances in noise cancellation technology?
5 answersThe latest advances in noise cancellation technology include the use of an improved phase-generated carrier (PGC) demodulation technique for phase noise cancellation. This technique combines an auxiliary reference interferometer scheme with an ellipse fitting algorithm (EFA) to eliminate the effect of different phase modulation depths due to different optical path length differences (OPDs), significantly reducing harmonic distortion. Another advancement is the development of variants of the Filtered-x LMS (FxLMS) algorithm, such as the Feedback FxLMS (FB-FxLMS) algorithm, which provide an improved approach for noise cancellation in noisy environments. Additionally, there is a structure that includes an adaptive noise canceller circuit designed to suppress noise in a feedback sigma-delta modulator circuit and provide real-time tracking of a noise cancellation signal. Furthermore, systems and methods have been developed for compensating for mechanical acceleration at a reference oscillator, using an accelerometer and an adaptive weighting component to adjust filter weights based on a comparison of external signals and the oscillator output signal.