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Instead, analysis of channel capacity for additive color noise channels should be used.
In the future this kind of noise should no longer be an issue.
Book ChapterDOI
01 Jan 2013
36 Citations
If I cannot get the desired results with the first choice, I will use Noise Ninja, which has certain advantages in some situations that we will cover.
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.
I t has the advantages of higher speed and more stable noise removal effects.
Effects of the total sound exposure should be considered in risk assessments and in noise mitigation activities.
Open accessJournal ArticleDOI
Gösta Bluhm, Charlotta Eriksson 
01 May 2011-Noise & Health
52 Citations
The findings regarding noise-related health effects and their economic consequences should be taken into account in future noise abatement policies and community planning.
Our results also show that 1/f 3 noise is more predictable compared to 1/f 2 noise and in a fair comparison it affects the performance less.

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What are the pitch characteristics of children in speech recognition?
3 answers
The 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 answers
External 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 answers
The abstracts provided do not contain any information about the current weather conditions.
How did the COVID-19 pandemic affect the transition to remote work?
3 answers
The COVID-19 pandemic had a significant impact on the transition to remote work. Companies were forced to adopt remote work due to the pandemic, which presented both advantages and disadvantages compared to face-to-face work. The prevalence of remote work increased during the pandemic, and workers expect it to persist post-pandemic. Remote work also affected individuals' work performance and job satisfaction, with indoor noise disturbance significantly affecting annoyance and work performance. In the healthcare sector, the pandemic led to changes in the organization, working conditions, and management of health surveillance, including the implementation of remote work and the expansion of work shifts. The pandemic also had an impact on work-life balance for remote employees, with a slight decrease in WLB and increased quantitative job demands. Overall, the COVID-19 pandemic accelerated the adoption of remote work and brought about various changes and challenges in different industries and aspects of work.
How does inaccurate travel demand modeling forecasts affect transportation policy development or policy performance?
5 answers
Inaccurate 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 answers
Acoustic 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 answers
Textile 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 answers
Noise 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.
Does classroom-based oral activity have an effect on agitation in children with autism?
4 answers
Classroom-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.
How human comfort affected due to human induced vibration on GFRP bridges?
5 answers
Human comfort on GFRP bridges is affected by human-induced vibrations. The use of lightweight high-strength materials like GFRP in bridge construction can result in increased vibration sensitivity due to the high human-to-structure mass ratio. Studies have shown that human-structure interaction (HSI) significantly influences the vibration response of lively lightweight GFRP footbridges. The vibration of the bridge can have a strong influence on the walking force and dynamics of the human-structure system. It has been found that a response factor of about 2 is appropriate for determining the vibration tolerance level by walkers. Vibration comfort criteria, such as those provided by Setra, are used to assess the comfort level of GFRP footbridges. However, more restrictive acceleration limits suggested by Eurocode may not be met for some events.
What are the latest advances in noise cancellation technology?
5 answers
The 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.