Search or ask a question

Can different noise reduction techniques be used to improve speech clarity in military radio transmissions?

Noise (signal processing)

Noise measurement

Salt-and-pepper noise

Best insight from top research papers

Different noise reduction techniques can indeed enhance speech clarity in military radio transmissions. Various algorithms like spectral subtraction, minimal mean squared error spectral estimation, subspace analysis , time-frequency masking including ideal binary mask (IBM) and non-ideal masking , and modulation-based digital noise reduction (MB-DNR) have shown promising results in reducing noise levels and improving speech intelligibility. These techniques involve applying a sequence of noise reduction algorithms that are distinct enough to minimize distortions and artifacts, leading to reduced human perception of these unwanted elements in the output signal . MB-DNR, for instance, has demonstrated a reduction in noise levels, enhanced sound quality, and maintained or improved speech intelligibility in military noises, indicating its potential for enhancing performance and user acceptance in military radio transmissions .

Answers from top 5 papers

PDF

Open Access

More filters

Papers (5)	Insight
Journal Article•DOI Noise reduction for speech signals by operations on the modulation frequency spectrum Hans Werner Strube, Hans Wilmers - Show less +1 more 25 Jan 1999-Journal of the Acoustical Society of America 6 Citations	Not addressed in the paper.
Journal Article•DOI Modulation-Based Digital Noise Reduction for Application to Hearing Protectors to Reduce Noise and Maintain Intelligibility King Chung, Jennifer B. Tufts, Lance Nelson - Show less +2 more 01 Feb 2009-Human Factors 11 Citations	Modulation-based digital noise reduction (MB-DNR) can reduce noise levels, enhance sound quality, and maintain or improve speech intelligibility in military noises, potentially improving speech clarity in radio transmissions.
Journal Article•DOI Perceptual effects of noise reduction by time-frequency masking of noisy speech. Inge Brons, Rolph Houben, Wouter A. Dreschler - Show less +2 more 03 Oct 2012-Journal of the Acoustical Society of America 28 Citations	Not addressed in the paper.
Patent•DOI Method of cascading noise reduction algorithms to avoid speech distortion Rogerio Guedes Alves, Kuan-Chieh Yen, Jeff Chisholm - Show less +2 more 06 Sep 2005-Journal of the Acoustical Society of America 90 Citations	Yes, cascading different noise reduction algorithms can improve speech clarity in military radio transmissions by reducing distortions and artifacts, as discussed in the paper.
Journal Article•DOI Effects of noise suppression on intelligibility: dependency on signal-to-noise ratios. Gaston Hilkhuysen, Nikolay D. Gaubitch, Mike Brookes, Mark Huckvale - Show less +3 more 13 Jan 2012-Journal of the Acoustical Society of America 40 Citations	Not addressed in the paper.

My columns

Related Questions

How effective are these methods in reducing noise in realtime audio processing?4 answersThe effectiveness of different noise reduction methods in real-time audio processing varies. The paper by Ma et al. compares several commonly used algorithms and finds that the wavelet transform algorithm performs best, specifically when using sym3 as the wavelet basis function and 7 decomposition layers. Jakati and Kuntoji propose a modified LMS algorithm for real-time speech denoising, which shows effective noise reduction capabilities. Bullough presents a computer-implemented method that separates audio signals into frequency components and attenuates noise based on magnitude thresholds, resulting in reduced noise in the output audio signal. Dogra et al. focus on noise removal in speech recognition and propose an efficient algorithm based on deep learning and convolutional neural networks, which successfully removes similar noise from audio signals. Overall, these methods demonstrate effectiveness in reducing noise in real-time audio processing, with each approach offering its own advantages and capabilities.

What are different techniques to enhance intelligibility?5 answersDifferent techniques to enhance intelligibility include speech intelligibility enhancement through normal-to-Lombard speech conversion using LSTM network and BGMM, speech intelligibility enhancement through speaking style conversion using StarGAN and DRC, and identifying effective features for controlling speech to increase intelligibility under adverse conditions. Additionally, algorithms for intelligibility improvement that mimic modifications made by human speakers in noisy situations have been proposed. Another approach involves enhancing speech signal critical band-wise based on the analysis of far-end speech and near-end noise energy.

What are the different ways to reduce noise in a room?5 answersThere are several ways to reduce noise in a room. One approach is to use noise-reducing construction room building structures, which include features such as rotating rods, gears, and sound-proof felt to increase the noise reduction effect and save space. Another method is to create a noise elimination room for specific equipment, such as stamping beds, by using features like observation windows, box doors, damping mechanisms, and telescopic rods with springs to achieve a sealed environment and reduce noise and vibration. Additionally, a sound system and method for noise cancellation can be employed, which involves using microphones and speakers to match and output sound signals based on the input signals from the room's opening. Furthermore, sound absorption technology using sustainable acoustic absorbers can be utilized to control room noise by absorbing sound energy and reducing noise. Finally, a dustproof noise reduction room for stamping production can be implemented, which includes features like sound isolating layers, lifting motors, sound isolating cover plates, and sound isolating baffles to isolate sound and reduce noise.

What is the best language technique for improving speech intelligibility?5 answersThe best language technique for improving speech intelligibility is to emphasize "pushing harder" on voiceless consonants in alaryngeal speakers. This technique focuses on improving the production of voiceless consonants before attempting to effect voicing.

How do I reduce mic noise in Valorant?8 answers

How does kdenlive reduce noise?8 answers

See what other people are reading

How to measure biosignals of plants?

To measure biosignals of plants, various methods and apparatus are utilized. One approach involves using electrodes to sense biosignals, while another method combines optical and bioelectrical impedance sensors for depth-specific measurements. Additionally, biosignal measurement apparatus can be affixed on plants using signal-acquiring sections with multiple electrodes and wiring connected to a signal-processing circuit for wireless transmission. Advanced embedded wireless sensors have been developed to detect electrophysiological phenomena in plants, correlating biosignal patterns to stress factors like salinity levels. These sensors use Ag/AgCl electrodes and wireless communication protocols to minimize noise interference and accurately measure biosignals. Overall, a combination of electrode sensors, optical sensors, bioelectrical impedance sensors, and wireless communication systems are employed to effectively measure biosignals in plants.How to do an electrocardiogram in a shaking patient?

To perform an electrocardiogram (ECG) on a shaking patient, a method involving the recovery of the ECG signal near the cardiac region is essential. Shaking or tremors can introduce artifacts in the ECG, potentially mimicking cardiac arrhythmias like ventricular tachycardia. These artifacts can distort the ECG components, affecting the baseline and waves. It is crucial to differentiate between true cardiac abnormalities and artifacts caused by patient movement, such as tremors due to various conditions like Parkinson's disease, anxiety, or drug effects. Careful evaluation is necessary to avoid misinterpretation and unnecessary treatments, ensuring accurate diagnosis and appropriate management for patients presenting with shaking during ECG acquisition.What are the most commonly used metrics for evaluating search task performance in academic papers?

The most commonly used metrics for evaluating search task performance in academic papers include hypervolume, inverted generational distance, generational distance, and hypercube-based diversity metrics. Additionally, relevance, publication age, and impact are crucial factors considered in evaluating the usefulness of academic papers. Furthermore, the influence of search intent on user satisfaction and evaluation metrics in web image search has been studied, highlighting the importance of understanding user intent for improving search processes. Moreover, the performance of similarity metrics is essential in tasks like image processing, where robustness of metrics significantly impacts search performance, especially in the presence of noise. These diverse metrics and factors play key roles in assessing the effectiveness and efficiency of search tasks in academic papers and other domains.What is the typical pipeline for a star centroiding algorithm?

The typical pipeline for a star centroiding algorithm involves several key stages. First, star detection and noise filtering are performed using methods like fast Gaussian fitting and connected component labeling. Next, the algorithm proceeds with star pixel selection, noise interference suppression, and fine centroid calculation to enhance accuracy and efficiency. Following this, threshold segmentation and centroid determination are carried out based on pixel gray levels and template matching. Finally, the algorithm refines the star centroid location and outputs the centroid features and coordinates. By incorporating these stages, the algorithm achieves high accuracy, noise resistance, and computational efficiency, making it suitable for real-time applications in star tracking systems.What are transient otoacoustic emissions?

Transient otoacoustic emissions (TEOAEs) are a type of otoacoustic emission that are evoked by a stimulus. TEOAEs are classified as a subset of evoked otoacoustic emissions, which also include distortion product otoacoustic emissions (DPOAEs) and stimulus frequency otoacoustic emissions (SFOAEs). TEOAEs are generated through coherent reflection near the characteristic place of constituent wave components in the cochlea, with high frequency emissions returning earlier than low frequencies due to the cochlea's tonotopic organization. These emissions exhibit fluctuating instantaneous frequency and amplitude envelope, making their analysis challenging. TEOAEs have been widely utilized in clinical practice for screening congenital hearing loss due to their quick, non-invasive, and sensitive nature.How does the use of elastic net gridless topology affect the estimation of OSNR in optical networks?

The use of elastic net gridless topology can significantly impact the estimation of Optical Signal-to-Noise Ratio (OSNR) in optical networks. Various factors such as network impairments, inter-core crosstalk, modulation formats, and spectral loads influence OSNR estimation. Leveraging supervised graph convolution neural networks (GCNs)and incorporating OSNR models in mixed-integer programming formulationsare crucial for accurate OSNR estimation. Additionally, methods like OptInception, combining Inception modules and finite impulse response filters, provide robust OSNR estimation independent of symbol rates and modulation formats. Furthermore, machine learning techniques like Gaussian process regression and support vector machine regression are effective in estimating OSNR in dense wavelength routed networks. Overall, the integration of advanced network topologies and machine learning algorithms enhances the precision and reliability of OSNR estimation in optical networks.Unique words for poems?

Unique words, also known as UWs, play a significant role in various communication systems. In the realm of signal processing, UWs are utilized for synchronization, channel estimation, and noise reduction. They offer advantages over traditional cyclic prefixes by providing efficient protection against multi-path propagation and enabling per-block synchronization. Moreover, UWs have been successfully integrated into novel discrete multitone transmission (DMT) schemes for dispersive optical channels, outperforming conventional cyclic prefix-based approaches and offering additional functionalities like synchronization and channel estimation. Overall, the use of unique words in communication systems showcases their versatility and effectiveness in enhancing system performance across different domains.How does the implementation of RF-Track and RFID-Tag tracking affect the overall gameplay experience and player engagement?

The implementation of RF-Track and RFID-Tag tracking technologies significantly enhances the overall gameplay experience and player engagement by introducing a layer of interactivity and immersion that was previously unattainable. RF-Track, with its ability to achieve high accuracy in real-time tracking of passive RFID tags using a phase value in backscattered signals, allows for precise player positioning and movement within the game environment. This precision in localization, achieving an accuracy of 30mm and further refined to within 10mm after calibration, ensures that players' movements are accurately reflected in the game, thereby increasing the realism and responsiveness of the gameplay. Moreover, the use of RFID tags for player positioning, as described by Frank Appiah, where players' movements are mimicked through radio frequency identification along cardinal directions, adds a novel dimension to gameplay. This method not only simplifies the interaction mechanism but also makes the gaming environment more intuitive and engaging for the player. The integration of RFID technology in tracking objects or players in a game setting, as demonstrated across various contexts, offers a seamless blend of physical and digital worlds. For instance, the system developed by Grimes Paul Earl for mapping playing cards to RFID tag values enhances traditional card games with digital tracking, enriching player interaction with the game. Similarly, the ability to track RFID tags of interest continuously, as discussed by Alberto Pesavento et al., allows for dynamic game scenarios where objects or players can be closely monitored, adding a strategic layer to gameplay. The novel passive UHF RFID tag localization algorithm based on RF signal fluctuation, as proposed by Yang Zhao et al., further refines the accuracy of player positioning. This improvement in localization accuracy directly translates to a more immersive gaming experience, where players can experience a closer correspondence between their physical movements and their digital representations. Additionally, the RF-Dial system, which enables 2D human-computer interaction through RFID tag arrays, introduces a new form of interaction within games. This system allows ordinary objects to become controllers, thereby expanding the possibilities for game design and player engagement. The use of RFID tag indoor tracking methods, such as the one based on unscented Kalman filter, enhances the precision of movement tracking within indoor gaming environments, making the gameplay experience more fluid and accurate. The phase difference of arrival technique for tracking passive UHF RFID tags, as presented by Lukas Gortschacher et al., offers another layer of precision in tracking, enabling more complex game designs that can utilize two-dimensional position updates for dynamic gameplay. The RF-Kinect system's ability to track body movement in 3D space by analyzing phase information of wearable RFID tags opens up new avenues for gesture-based interaction in games, making the gameplay experience more engaging and interactive. Finally, the RFID information sensing system discussed by Yang Jiangtao, which triggers preset playing contents based on RFID card numbers and signal intensities, allows for a customizable and responsive gaming environment. This system's ability to determine the distance and orientation of RFID cards enhances the user experience by providing a more interactive and immersive gameplay environment. In conclusion, the implementation of RF-Track and RFID-Tag tracking technologies profoundly impacts the gameplay experience and player engagement by offering precise real-time tracking, enhancing interactivity, and enabling novel gameplay mechanics. These technologies foster a more immersive and engaging gaming environment, bridging the gap between physical actions and digital responses.What are the results of correlation analysis between strava metro and counting stations?

The correlation analysis between transit ridership and transit-oriented development (TOD) indicators in Bangkok metro stations revealed significant relationships. Additionally, a study in Delhi utilized Data Envelopment Analysis (DEA) to assess the efficiency of the urban public transit system, providing insights into improvement strategies for different corridor segments and individual stations. Furthermore, a method based on Haar-like detection and template-matching algorithm was proposed to automatically count pedestrians in metro stations, enhancing counting accuracy. Evaluating the quality of physical environments around metro stations, another study in Beijing utilized street view photos and machine learning models to measure convenience, comfort, vibrancy, and characteristics, supporting data-driven city planning and zoning efforts.What are noise levels ?

Noise levels refer to the intensity of unwanted sound present in various environments. They can be measured and quantified using different parameters such as Sound Pressure Level (SPL) in dB(A), Time Weighted Average (TWA), Equivalent Continuous Noise Level (ECNL), and octave band analysis. In image processing, noise levels can be determined in subbands by analyzing wavelet coefficients and computing correlations to assess noise components. Methods for estimating noise levels involve segmenting waveform data to identify positive and negative values, determining segment widths, and calculating noise levels based on segment heights or areas. In digital TV signal processing, noise levels are crucial for controlling noise suppression filters and enhancing image quality in modern TV equipment. Noise assessment is also vital in image quality evaluation, where noise level estimation aids in iterative noise reduction processes by separating featureless regions and calculating pseudo-standard deviations for accurate noise measures.What are the impacts of videogames on beta brain waves?

Playing video games has been shown to have various impacts on beta brain waves. Research indicates that beta waves, associated with concentration and cognitive performance, increase during gameplay, reflecting heightened cognitive activity. Studies have observed changes in beta-band activity post-gaming, with an increase noted in some cases. Additionally, the use of neurofeedback through EEG monitoring during gameplay can help evaluate the effectiveness of serious games in enhancing cognitive skills. However, the duration of gameplay may influence the extent of beta wave alterations, as shorter durations may not yield significant changes in brain wave patterns. Overall, video games can impact beta brain waves by enhancing concentration and cognitive functions, making them a potential tool for cognitive training and improvement.