wanyu/IteraTeR_v2 huggingface dataset:
Original:  We then propose a general algorithmic framework for declipping that covers existing and new combinations of flavors of state-of-the-art techniques exploiting time-frequency sparsity: synthesis vs  analysis sparsity, with plain or structured sparsity.
Revised:  We then propose a general algorithmic framework for declipping that covers existing and new combinations of variants of state-of-the-art techniques exploiting time-frequency sparsity: synthesis vs analysis sparsity, with plain or structured sparsity.
Edit intent: clarity
Original:  We then propose a general algorithmic framework for declipping that covers existing and new combinations of flavors of state-of-the-art techniques exploiting time-frequency sparsity: synthesis vs  analysis sparsity, with plain or structured sparsity.
Revised:  We then propose a general algorithmic framework for declipping that covers existing and new combinations of flavors of state-of-the-art techniques exploiting time-frequency sparsity: synthesis vs . analysis sparsity, with plain or structured sparsity.
Edit intent: fluency
Original:  Finally, we systematically compare these combinations and  state-of-the-art methods.
Revised:  Finally, we systematically compare these combinations and a selection of state-of-the-art methods.
Edit intent: clarity
Original:  Using a large-scale numerical benchmarks and a smaller scale formal listening test, we provide guidelines for various saturation levels, both for speech and various musical "genres" from the RWC database .
Revised:  Using a large-scale numerical benchmark and a smaller scale formal listening test, we provide guidelines for various saturation levels, both for speech and various musical "genres" from the RWC database .
Edit intent: fluency
Original:  Using a large-scale numerical benchmarks and a smaller scale formal listening test, we provide guidelines for various saturation levels, both for speech and various musical "genres" from the RWC database .
Revised:  Using a large-scale numerical benchmarks and a smaller scale formal listening test, we provide guidelines for various clipping levels, both for speech and various musical "genres" from the RWC database .
Edit intent: fluency
Original:  Using a large-scale numerical benchmarks and a smaller scale formal listening test, we provide guidelines for various saturation levels, both for speech and various musical "genres" from the RWC database .
Revised:  Using a large-scale numerical benchmarks and a smaller scale formal listening test, we provide guidelines for various saturation levels, both for speech and various musical genres .
Edit intent: clarity
Original: Given a network of receivers and transmitters, the process of determining their positions from measured pseudo-ranges is known as network self-calibration.
Revised: Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration.
Edit intent: fluency
Original:  In this respect, the goal of this survey is two-fold: (i) to present recent advances on AML-RS for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) , which use the core concept of learning in AML (i.e., the min-max game) for generative applications .
Revised:  In this respect, the goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) , which use the core concept of learning in AML (i.e., the min-max game) for generative applications .
Edit intent: clarity
Original:  This review serves as a reference for the RS community, working on the security of RS and recommendation models leveraging generative models to improve their quality.
Revised:  This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
Edit intent: clarity
Original: Nowadays, in operating systems, numerous protection mechanisms prevent or limit the user-mode applications to access the kernel's internal information.
Revised: Nowadays, in operating systems, numerous protection mechanisms prevent or limit the user-mode applicationsto access the kernels internal information.
Edit intent: fluency
Original:  This is regularly carried out by software-based defenses such as Address Space Layout Randomization (ASLR) and Kernel ASLR(KASLR).
Revised:  This is regularlycarried out by software-based defenses such as Address Space Layout Randomization (ASLR) and Kernel ASLR(KASLR).
Edit intent: fluency
Original: Armed with arbitrary write access in the kernel memory, if these protections are bypassed, an attacker could find a suitable Where to Write in order to get an elevation of privilege or maliciously execute codes in ring 0.
Revised: Armed with arbitrary write access in the kernel memory, if these protections are bypassed, an adversary could find a suitable Where to Write in order to get an elevation of privilege or maliciously execute codes in ring 0.
Edit intent: clarity
Original: Armed with arbitrary write access in the kernel memory, if these protections are bypassed, an attacker could find a suitable Where to Write in order to get an elevation of privilege or maliciously execute codes in ring 0.
Revised: Armed with arbitrary write access in the kernel memory, if these protections are bypassed, an attacker could find a suitable where to write in order to get an elevation of privilege or maliciously execute codes in ring 0.
Edit intent: fluency
Original: Armed with arbitrary write access in the kernel memory, if these protections are bypassed, an attacker could find a suitable Where to Write in order to get an elevation of privilege or maliciously execute codes in ring 0.
Revised: Armed with arbitrary write access in the kernel memory, if these protections are bypassed, an attacker could find a suitable Where to Write in order to get an elevation of privilege or code execution in ring 0.
Edit intent: clarity
Original:  In this paper, we introduce a reliable method based on Transactional Synchronization Extensions (TSX) side-channel attacks to reveal the address of the Global Descriptor Table (GDT) and Interrupt Descriptor Table (IDT).
Revised:  In this paper, we introduce a reliable method based on Transactional Synchronization Extensions (TSX) side-channel leakage to reveal the address of the Global Descriptor Table (GDT) and Interrupt Descriptor Table (IDT).
Edit intent: clarity
Original:  We indicate that by detecting these addresses, an attack could be executed to sidestep the Intel's User-Mode Instruction Prevention (UMIP) and the Hypervisor-based mitigation and, consequently, neutralized them.
Revised:  We indicate that by detecting these addresses, one could execute instructions to sidestep the Intel's User-Mode Instruction Prevention (UMIP) and the Hypervisor-based mitigation and, consequently, neutralized them.
Edit intent: clarity
Original:  We indicate that by detecting these addresses, an attack could be executed to sidestep the Intel's User-Mode Instruction Prevention (UMIP) and the Hypervisor-based mitigation and, consequently, neutralized them.
Revised:  We indicate that by detecting these addresses, an attack could be executed to sidestep the Intels User-Mode Instruction Prevention (UMIP) and the Hypervisor-based mitigation and, consequently, neutralized them.
Edit intent: fluency
Original:  We indicate that by detecting these addresses, an attack could be executed to sidestep the Intel's User-Mode Instruction Prevention (UMIP) and the Hypervisor-based mitigation and, consequently, neutralized them.
Revised:  We indicate that by detecting these addresses, an attack could be executed to sidestep the Intel's User-Mode InstructionPrevention (UMIP) and the Hypervisor-based mitigation and, consequently, neutralized them.
Edit intent: fluency
Original:  The introduced attack is successfully performed after the most recent patches for Meltdown and Spectre.
Revised:  The introduced method is successfully performed after the most recent patches for Meltdown and Spectre.
Edit intent: clarity
Original:  Moreover, the implementation of the proposed attack on different platforms, including the latest releases of Microsoft Windows, Linux, and, Mac OSX with the latest 9^{th generation of Intel processors, shows that the attack is independent of the Operating System implementation.
Revised:  Moreover, the implementation of the proposed approach on different platforms, including the latest releases of Microsoft Windows, Linux, and, Mac OSX with the latest 9^{th generation of Intel processors, shows that the attack is independent of the Operating System implementation.
Edit intent: clarity
Original:  Moreover, the implementation of the proposed attack on different platforms, including the latest releases of Microsoft Windows, Linux, and, Mac OSX with the latest 9^{th generation of Intel processors, shows that the attack is independent of the Operating System implementation.
Revised:  Moreover, the implementation of the proposed attack on different platforms, including the latest releases of Microsoft Windows, Linux, and, Mac OSX with the latest 9th generation of Intel processors, shows that the attack is independent of the Operating System implementation.
Edit intent: fluency
Original:  Moreover, the implementation of the proposed attack on different platforms, including the latest releases of Microsoft Windows, Linux, and, Mac OSX with the latest 9^{th generation of Intel processors, shows that the attack is independent of the Operating System implementation.
Revised:  Moreover, the implementation of the proposed attack on different platforms, including the latest releases of Microsoft Windows, Linux, and, Mac OSX with the latest 9^{th generation of Intel processors, shows that the proposed mechanism is independent from the Operating System implementation.
Edit intent: clarity
Original:  We demonstrate that a combination of this method with call-gate mechanism (available in modern processors ) in a chain of attacks will eventually lead to a full system compromise despite the limitations of a super-secure sandboxed environment in the presence of Windows 's proprietary Virtualization Based Security (VBS).
Revised:  We demonstrate that a combinationof this method with call-gate mechanism (available in modern processors ) in a chain of attacks will eventually lead to a full system compromise despite the limitations of a super-secure sandboxed environment in the presence of Windows 's proprietary Virtualization Based Security (VBS).
Edit intent: fluency
Original:  We demonstrate that a combination of this method with call-gate mechanism (available in modern processors ) in a chain of attacks will eventually lead to a full system compromise despite the limitations of a super-secure sandboxed environment in the presence of Windows 's proprietary Virtualization Based Security (VBS).
Revised:  We demonstrate that a combination of this method with call-gate mechanism (available in modernprocessors ) in a chain of attacks will eventually lead to a full system compromise despite the limitations of a super-secure sandboxed environment in the presence of Windows 's proprietary Virtualization Based Security (VBS).
Edit intent: fluency
Original:  We demonstrate that a combination of this method with call-gate mechanism (available in modern processors ) in a chain of attacks will eventually lead to a full system compromise despite the limitations of a super-secure sandboxed environment in the presence of Windows 's proprietary Virtualization Based Security (VBS).
Revised:  We demonstrate that a combination of this method with call-gate mechanism (available in modern processors ) in a chain of events will eventually lead to a full system compromise despite the limitations of a super-secure sandboxed environment in the presence of Windows 's proprietary Virtualization Based Security (VBS).
Edit intent: clarity
Original:  We demonstrate that a combination of this method with call-gate mechanism (available in modern processors ) in a chain of attacks will eventually lead to a full system compromise despite the limitations of a super-secure sandboxed environment in the presence of Windows 's proprietary Virtualization Based Security (VBS).
Revised:  We demonstrate that a combination of this method with call-gate mechanism (available in modern processors ) in a chain of attacks will eventually lead toa system compromise despite the limitations of a super-secure sandboxed environment in the presence of Windows 's proprietary Virtualization Based Security (VBS).
Edit intent: clarity
Original:  We demonstrate that a combination of this method with call-gate mechanism (available in modern processors ) in a chain of attacks will eventually lead to a full system compromise despite the limitations of a super-secure sandboxed environment in the presence of Windows 's proprietary Virtualization Based Security (VBS).
Revised:  We demonstrate that a combination of this method with call-gate mechanism (available in modern processors ) in a chain of attacks will eventually lead to a full system compromise despite the limitations of a super-secure sandboxed environment in the presence of Windows proprietary Virtualization Based Security (VBS).
Edit intent: fluency
Original:  Finally, we suggest the software-based mitigation to avoid these attacks with an acceptable  cost.
Revised:  Finally, we suggest the software-based mitigation to avoid these issues with an acceptable cost.
Edit intent: clarity
Original:  In our work, we use a Monte-Carlo (MC) based algorithm to predict the virus infection rate for different population densities using the most recent epidemic data  .
Revised:  We use a Monte-Carlo (MC) based algorithm to predict the virus infection rate for different population densities using the most recent epidemic data .
Edit intent: clarity
Original:  A parallel trace-based simulator predicts the applications' execution on the three topologies using the twelve mappings.
Revised:  With a parallel trace-based simulator predicts the applications' execution on the three topologies using the twelve mappings.
Edit intent: clarity
Original:  A parallel trace-based simulator predicts the applications' execution on the three topologies using the twelve mappings.
Revised:  A parallel trace-based simulator , we predict the applications' execution on the three topologies using the twelve mappings.
Edit intent: clarity
Original:  We evaluate the impact of process mapping on the applications' simulated performance in terms of execution and communication times and identify the mapping that achieves the highest performance  .
Revised:  We evaluate the impact of process mapping on the applications' simulated performance in terms of execution and communication times and identify the mappings that achieve the highest performance .
Edit intent: fluency
Original:  To ensure  correctness of the simulations, we compare the resulting volume, frequency, and distance of exchanges against their pre-simulation values .
Revised:  To ensure the correctness of the simulations, we compare the resulting volume, frequency, and distance of exchanges against their pre-simulation values .
Edit intent: fluency
Original:  To ensure  correctness of the simulations, we compare the resulting volume, frequency, and distance of exchanges against their pre-simulation values .
Revised:  To ensure correctness of the simulations, we compare the pre- and post-simulation results .
Edit intent: clarity
Original: The critical role of energy consumption in biological systems including T-Cell discrimination process has been investigated in various ways.
Revised: The critical role of energy consumption in biological systems including T cell discrimination process has been investigated in various ways.
Edit intent: fluency
Original:  The kinetic proofreading(KPR) in T-Cell recognition involving different levels of energy dissipation influences functional outcomes such as error rates and specificity.
Revised:  The kinetic proofreading(KPR) in T cell recognition involving different levels of energy dissipation influences functional outcomes such as error rates and specificity.
Edit intent: fluency
Original:  These provide the background to adequately understand T-Cell dynamics.
Revised:  These provide the background to adequately understand T cell dynamics.
Edit intent: fluency
Original:  The system tracks radio transmitters attached to wild animals by estimating the time of arrival of packets encoding known pseudo-random codes to receivers (base stations).
Revised:  The system tracks radio transmitters attached to wild animals by estimating the time of arrival of radio packets to multiple receivers (base stations).
Edit intent: clarity
Original:  Time-of-arrival estimation of wideband radio signals is computatoinally expensive, especially when it is not known when a transmitter transmits.
Revised:  Time-of-arrival estimation of wideband radio signals is computationally expensive, especially when it is not known when a transmitter transmits.
Edit intent: fluency
Original:   The paper reports on two implementations of ATLAS's signal-processing algorithms, one for CPUs and the other for GPUs, and carefully evaluates their performance.
Revised:  The paper reports on the two implementations and carefully evaluates their performance.
Edit intent: clarity
Original:  The improvements are both in terms of absolute performance ( more than 50X with a high-end GPU and more than 4X with a GPU platform  consumes almost 5 times less power than the CPU platform ), in terms of performance-per-Watt ratios ( more than 16X), and in terms of price-performance ratios.
Revised:  Performance improves by more than 50X with a high-end GPU and more than 4X with a GPU platform consumes almost 5 times less power than the CPU platform ), in terms of performance-per-Watt ratios ( more than 16X), and in terms of price-performance ratios.
Edit intent: clarity
Original:  The improvements are both in terms of absolute performance ( more than 50X with a high-end GPU and more than 4X with a GPU platform  consumes almost 5 times less power than the CPU platform ), in terms of performance-per-Watt ratios ( more than 16X), and in terms of price-performance ratios.
Revised:  The improvements are both in terms of absolute performance ( more than 50X on a high-end GPU and more than 4X with a GPU platform consumes almost 5 times less power than the CPU platform ), in terms of performance-per-Watt ratios ( more than 16X), and in terms of price-performance ratios.
Edit intent: clarity
Original:  The improvements are both in terms of absolute performance ( more than 50X with a high-end GPU and more than 4X with a GPU platform  consumes almost 5 times less power than the CPU platform ), in terms of performance-per-Watt ratios ( more than 16X), and in terms of price-performance ratios.
Revised:  The improvements are both in terms of absolute performance ( more than 50X with a high-end GPU and more than 4X with a GPU platform that consumes almost 5 times less power than the CPU platform ), in terms of performance-per-Watt ratios ( more than 16X), and in terms of price-performance ratios.
Edit intent: fluency
Original:  The improvements are both in terms of absolute performance ( more than 50X with a high-end GPU and more than 4X with a GPU platform  consumes almost 5 times less power than the CPU platform ), in terms of performance-per-Watt ratios ( more than 16X), and in terms of price-performance ratios.
Revised:  The improvements are both in terms of absolute performance ( more than 50X with a high-end GPU and more than 4X with a GPU platform consumes almost 5 times less power than the CPU platform ), in terms of performance-per-Watt ratios ( more than 16X), and so do the price-performance ratios.
Edit intent: coherence
Original: This paper presents multistream CNN, a novel neural network architecture for robust acoustic modeling in speech recognition tasks.
Revised: This paper proposes multistream CNN, a novel neural network architecture for robust acoustic modeling in speech recognition tasks.
Edit intent: clarity
Original:  The proposed architecture accommodates diverse temporal resolutions in multiple streams to achieve robustness in acoustic modeling.
Revised:  The proposed architecture processes input speech with diverse temporal resolutions in multiple streams to achieve robustness in acoustic modeling.
Edit intent: clarity
Original:  Trained with data augmentation methods, multistream CNN improves the WER of the test-other set in the LibriSpeech corpus by 12\% (relative).
Revised:  Multistream CNN improves the WER of the test-other set in the LibriSpeech corpus by 12\% (relative).
Edit intent: clarity
Original:  In terms of real-time factor (RTF) , multistream CNN outperforms the normal TDNN-F by 15\%, which also suggests its practicality on production systems or applications .
Revised:  In terms of real-time factor , multistream CNN outperforms the normal TDNN-F by 15\%, which also suggests its practicality on production systems or applications .
Edit intent: clarity
Original:  In terms of real-time factor (RTF) , multistream CNN outperforms the normal TDNN-F by 15\%, which also suggests its practicality on production systems or applications .
Revised:  In terms of real-time factor (RTF) , multistream CNN outperforms the baseline TDNN-F by 15\%, which also suggests its practicality on production systems or applications .
Edit intent: clarity
Original: Facial recognition technologies have become popular and implemented in many areas, including but not limited to, citizen surveillance, crime control, activity monitoring, and facial expression evaluation.
Revised: Facial recognition technologies are implemented in many areas, including but not limited to, citizen surveillance, crime control, activity monitoring, and facial expression evaluation.
Edit intent: clarity
Original:  Our experiments show that PEEP exhibits an accuracy of around 70\% - 90\% under standard privacy settings.
Revised:  Our experiments show that PEEP exhibits a classification accuracy of around 70\% - 90\% under standard privacy settings.
Edit intent: clarity
Original:  The case study shows that not charging CVA at trade inception results in a guaranteed loss.
Revised:  The case study shows that not charging CVA at trade inception results in an expected loss.
Edit intent: clarity
Original:  they require a large number of reference images to generate a new font set, or they fail to capture detailed styles with  a few samples.
Revised:  they require a large number of reference images to generate a new font set, or they fail to capture detailed styles with only a few samples.
Edit intent: clarity
Original:  In the experiments on Korean-handwriting fonts and Thai-printing fonts, we observe that our method generates a significantly better quality of samples with faithful stylization compared to the state-of-the-art generation methods in quantitatively and qualitatively. 
Revised:  In the experiments on Korean-handwriting fonts and Thai-printing fonts, we observe that our method generates a significantly better quality of samples with faithful stylization compared to the state-of-the-art generation methods quantitatively and qualitatively. 
Edit intent: fluency
Original: The Epps effect is key phenomenology relating to high frequency correlation dynamics in the financial markets.
Revised: The Epps effect is key phenomenology relating to high frequency correlation dynamics in financial markets.
Edit intent: fluency
Original:  We argue that it can be used to determine whether trades at a tick-by-tick scale are best represented as samples from a Brownian diffusion, perhaps dressed with jumps;
Revised:  We argue that it can be used to provide insight into whether tick data is best represented as samples from a Brownian diffusion, perhaps dressed with jumps;
Edit intent: clarity