scispace - formally typeset
Search or ask a question

How to reduce noise in Edius? 

Gaussian noise
Noise measurement
Speech processing
Noise
Noise reduction

Answers from top 14 papers

More filters
Papers (14)Insight
Journal Article•DOI
Noise reduction combining time-domain ε-filter and time-frequency ε-filter
Tomomi Abe, Mitsuharu Matsumoto, Shuji Hashimoto 
01 Nov 2007-Journal of the Acoustical Society of America
Although the filter design is simple, it can effectively reduce noise.
Journal Article•DOI
Improvement of working environment in concrete construction by the use of self–compacting concrete
P. J. M. Bartos, J. Cechura 
01 Sep 2001-Structural Concrete
17 Citations
The best way to reduce the noise in construction is to use materials, that do not require noisy processing or handling.
Journal Article•DOI
Speech enhancement employing spectral subtraction and linear predictive analysis
P.M. Crozier, Barry M. G. Cheetham, C. Holt, E. Munday 
10 Jun 1993-Electronics Letters
22 Citations
This method can significantly reduce the musical noise associated with frequency domain noise reduction techniques.
Proceedings Article•DOI
Theoretical musical-noise analysis and its generalization for methods of integrating beamforming and spectral subtraction based on higher-order statistics
Yu Takahashi, Hiroshi Saruwatari, K. Shikano, Kazunobu Kondo 
14 Mar 2010
9 Citations
Moreover, it is also revealed that a specific structure is proper to reduce the musical noise for almost all cases.
Proceedings Article•DOI
Simple and Efficient Soft Morphological Filter in Periodic Noise Reduction
Zhen Ji, Huilian Liao, Xijun Zhang, Qinghua Wu 
01 Nov 2006
27 Citations
Simulation results show that the SMF is able to reduce periodic noise more effectively than other known approaches
Open access•Journal Article•DOI
A study on noise reduction using ICA for Magnetoencephalography
Masaki Kawakatsu, Hidenori Ishibashi, Masaharu Adachi, Yoshinori Uchikawa, Makoto Kotani 
01 Jan 2004-Ieej Transactions on Electronics, Information and Systems
Therefore, it is important to reduce the noise component.
Journal Article•DOI
Mixing Drivers in Clock-Tree for Power Supply Noise Reduction
Yakov Kaplan, Shmuel Wimer 
28 Apr 2015-IEEE Transactions on Circuits and Systems I-regular Papers
The proposed method can easily be combined with other existing methods to further reduce the noise.
Proceedings Article•DOI
Reduction of approach noise of the MD-11
Henri Siller, Ulf Michel, Christian Zwiener, Gerd Saueressig 
08 May 2006
10 Citations
Installation of a hot-stream liner should yield a considerable noise reduction, which would also reduce the take-off noise.
Open access•Journal Article•DOI
Improved microcirculation imaging of human skin in vivo using optical microangiography with a correlation mapping mask.
Woo June Choi, Roberto Reif, Siavash Yousefi, Ruikang K. Wang 
01 Mar 2014-Journal of Biomedical Optics
72 Citations
Here, we propose a method that can significantly reduce this noise.
Open access•Journal Article•DOI
Low-Frequency Noise Reduction in Dual-Fiber Optical Trap Using Normalized Differential Signal of Transmission Lights
Tengfang Kuang, Guangzong Xiao, Wei Xiong, Xiang Han, Xinlin Chen, Jie Yuan 
25 Jun 2018-IEEE Photonics Journal
We propose a technique that can reduce such noise.
Journal Article•DOI
Noise levels in PICU: an evaluative study.
Elizabeth H. Bailey, Stephen Timmons 
01 Dec 2005-Nursing Children and Young People
52 Citations
More can be done to reduce noise and its effects on patients and staff.
Proceedings Article•DOI
A solution to residual noise in speech denoising with sparse representation
Yongjun He, Jiqing Han, Shiwen Deng, Tieran Zheng, Guibin Zheng 
25 Mar 2012
19 Citations
Experimental results show that the proposed method can reduce residual noise substantially.
Journal Article•DOI
Real-time sonar image enhancement for AUV-based acoustic vision
Hyeonwoo Cho, Son-Cheol Yu 
01 Aug 2015-Ocean Engineering
19 Citations
Based on the experimental results, it was confirmed that the proposed algorithm can effectively reduce the noise.
Journal Article•DOI
CHANGES OF ELECTRONIC NOISE INDUCED BY OSCILLATING FIELDS IN BULK GaAs SEMICONDUCTORS
D. Persano Adorno, M. C. Capizzo, Michelangelo Zarcone 
01 Mar 2008-Fluctuation and Noise Letters
10 Citations
Numerical results show that it is possible to reduce the intrinsic noise.

Related Questions

How can I reduce the noise of my amplifier?10 answers
How do I reduce the noise from my mixer?10 answers
How do you reduce earphone noise?4 answers
How do you reduce noise in Edius?7 answers
How do you reduce noise in Enscape?6 answers
How do you reduce noise in audacity?5 answers

See what other people are reading

Introduction of maithili ?
4 answers
Maithili is an eastern Indo-Aryan language spoken in regions of Bihar, India, and the tarai plains of Nepal. It faces challenges due to the dominance of Nepali and Hindi, indicating language shift and endangerment. Despite being a resource-poor language, efforts have been made to develop computational tools like a morphological analyzer and a TTS system for Maithili. Reduplication, a common morphological process in Maithili, serves functions of emphasis, generality, and intensity, distinguishing it from repetition processes. Additionally, the need for English-Maithili Machine Translation systems highlights the language's struggle for survival and promotion in the digital age. Overall, Maithili's unique linguistic features and ongoing efforts for computational development underscore its significance and the challenges it faces in contemporary linguistic landscapes.Are transient evoked potential recored using clicks or tone bursts?
4 answers
Transient evoked potentials can be recorded using both clicks and tone bursts. Clicks are commonly used stimuli for transient-evoked otoacoustic emissions (TEOAE), while tone bursts have been shown to evoke vestibular-evoked myogenic potentials (VEMPs) effectively. Tone bursts, particularly at specific frequencies like 500 Hz, have demonstrated reliable responses with larger amplitudes and better test-retest reliability compared to clicks. Additionally, toneburst-evoked auditory brainstem responses (ABR) have been utilized to obtain frequency-specific information, especially in difficult-to-test populations, showcasing the potential of tone bursts in assessing auditory processing systems. Therefore, both clicks and tone bursts play crucial roles in recording transient evoked potentials, each offering unique advantages in different auditory and vestibular assessments.What is joint normal distribution?
5 answers
A joint normal distribution refers to a multivariate distribution where multiple random variables follow a normal distribution and are correlated. In the context of normal variance mixtures, this concept is extended by randomizing the covariance matrix through a non-negative random variable, resulting in a more generalized form of the multivariate normal distribution. Additionally, copulas are utilized to model dependencies between random variables with specified marginal distributions, allowing for joint distributions like a normal and a half-normal to be created. The joint normal distribution plays a crucial role in various fields, such as secure communication systems where Gaussian sequences are modulated to achieve secure transmissions. Furthermore, in modeling wideband radio channels, a multivariate log-normal distribution is proposed to jointly capture received power, mean delay, and delay spread, showcasing the importance of considering correlated variables together.What is relationship between noise annoyance level and noise sensitivity?
5 answers
The relationship between noise annoyance level and noise sensitivity is intricate and multifaceted. Studies have shown that noise sensitivity moderates the association between environmental noise exposure and annoyance, affecting health outcomes. Individuals with higher noise sensitivity tend to experience elevated annoyance levels in response to various noise types, such as road traffic noise and aircraft overflights. Moreover, noise sensitivity has been linked to increased psychological ill-health, especially when exposed to road traffic noise, highlighting its role in influencing subjective responses to noise. Overall, high noise sensitivity can amplify noise annoyance levels and contribute to a poorer subjective health status, emphasizing the importance of considering individual differences in noise sensitivity when assessing the impact of environmental noise on well-being.What are the underlying physiological mechanisms that contribute to individual differences in noise sensitivity?
5 answers
Individual differences in noise sensitivity are influenced by various physiological mechanisms. Studies have revealed that noise-sensitive individuals exhibit altered sound feature encoding and attenuated discrimination of sound noisiness in the auditory cortex, indicating central auditory system abnormalities. Additionally, noise sensitivity is associated with less sensory gating, leading to heightened reactivity to sound stimuli. Variable timing in the inferior colliculus has been linked to reduced coding of dynamic speech features and speech in noise, impacting listening skills. Furthermore, listening to speech in noise can engage frontal cortical regions associated with cognitive effort and anxiety, particularly in noise-sensitive individuals, highlighting the interplay between cognitive control and emotional responses in noisy environments. These findings collectively underscore the complex interplay of neural processes underlying individual differences in noise sensitivity.How to improve modeling resiliance with artifical noise in neural networks?
5 answers
To enhance modeling resilience in neural networks using artificial noise, a novel noise injection-based training scheme has been proposed. This method involves estimating gradients for both synaptic weights and noise levels during stochastic gradient descent training, optimizing noise levels alongside synaptic weights. By incorporating noise into the network, the model's robustness against adversarial attacks can be significantly improved, as demonstrated in experiments on MNIST and Fashion-MNIST datasets. Additionally, a method has been introduced to reduce label error rates and improve dataset quality by addressing noise condensity issues through a statistical probability-based label flipping process, enhancing the overall performance of neural network models trained on corrected datasets. These approaches collectively contribute to fortifying neural network models against various forms of noise and improving their overall resilience.Comparison on levels of occupational noise between authorised service centre and general workshop?
5 answers
A comparison of occupational noise levels between an authorized service center and a general workshop reveals significant differences in exposure and potential impacts. The use of digital signal processing in noise measurement instruments has enhanced measurement capabilities, leading to confusion in reporting values under different standards. Studies on threshold hearing levels of workers exposed to varying noise levels show increased hearing losses with higher noise exposure, particularly at 4000 Hz frequency. Research on work stress in electronic companies highlights higher stress levels in clean workshops compared to ordinary ones, especially among males, indicating a potential correlation with occupational noise levels. This emphasizes the importance of understanding and addressing occupational noise exposure variations between different work environments.Can the use of waste receipts in the production of lattice asphalt pavement be sc?
5 answers
The utilization of waste materials in the production of lattice asphalt pavement can be a viable and sustainable option, offering economic and environmental benefits. Various waste materials like reclaimed asphalt pavement (RAP), blast furnace slag (BFS), waste plastic, waste glass, recycled concrete aggregates, crumb rubber, and polyethylene terephthalate have been studied for their potential in pavement construction. Research indicates that these waste materials can be effectively used in pavement mixtures, providing comparable mechanical performance while potentially reducing costs and environmental impact. However, the decision to incorporate waste materials in pavement design should consider factors like technical risk, maintenance liability, material availability, environmental emissions, and capital costs to ensure a balanced approach towards sustainable pavement construction.What is the timestep of GENIE model?
4 answers
The GENIE model utilizes a timestep for its simulations, which is crucial for studying ice age cycles, long-term human-induced global change, and other Earth System Models (ESMs) over multi-millennial timescales. Additionally, the development of GENIE involved the proposal of Higher-Order Denoising Diffusion Solvers (GENIE), which introduced a novel higher-order solver to accelerate synthesis in generative models. This solver relies on higher-order gradients of the perturbed data distribution and requires Jacobian-vector products (JVPs) for efficient computation during synthesis. Therefore, the timestep in the GENIE model plays a significant role in facilitating the simulation and analysis of complex Earth system dynamics and generative model synthesis.What can students do to address noise in terms of Operations of Algebraic Expressions?
5 answers
To address noise in terms of Operations of Algebraic Expressions, students can apply noise filtering techniques like the high gain observer (HGO) approach, which is effective in controlling perturbed systems. Additionally, for recognizing mathematical expressions, students can utilize segmentation methods involving pre-processing, segmentation, and post-processing stages to reduce noise effects and improve recognition outcomes. Moreover, in signal analysis problems related to noise, the concept of noise operators can be employed to analyze signal in noise scenarios, especially in radar and sonar applications. By implementing these strategies, students can enhance their understanding and accuracy when working with algebraic expressions in the presence of noise.Which decoder setting is used in autoencoder ecg classification tasks?
5 answers
The decoder setting used in autoencoder ECG classification tasks involves reconstructing the original ECG signal after masking it with a high ratio. This approach is implemented in a masked autoencoder-based ECG representation learning model, which aims to extract both local and global features of the ECG signal using multi-scale convolution and transformer mechanisms. By pre-training on ECG datasets and fine-tuning on specific ECG classification tasks, this model has shown superior performance compared to existing state-of-the-art models for self-supervised learning. This method enhances feature extraction and reconstruction capabilities, contributing to improved classification accuracy in ECG analysis tasks.