wanyu/IteraTeR_v2 huggingface dataset:
Original: Many purely neural network based speech separation approaches have been proposed that greatly improve objective assessment scores, but they often introduce nonlinear distortions that are harmful to  automatic speech recognition (ASR)  . Minimum variance distortionless response (MVDR) filters strive to remove nonlinear distortions, however, these approaches either are not optimal for removing residual (linear) noise, or they are unstable when used jointly with neural networks.
Revised: Many purely neural network based speech separation approaches have been proposed that greatly improve objective assessment scores, but they often introduce nonlinear distortions that are harmful to modern automatic speech recognition (ASR) . Minimum variance distortionless response (MVDR) filters strive to remove nonlinear distortions, however, these approaches either are not optimal for removing residual (linear) noise, or they are unstable when used jointly with neural networks.
Edit intent: clarity
Original: Many purely neural network based speech separation approaches have been proposed that greatly improve objective assessment scores, but they often introduce nonlinear distortions that are harmful to  automatic speech recognition (ASR)  . Minimum variance distortionless response (MVDR) filters strive to remove nonlinear distortions, however, these approaches either are not optimal for removing residual (linear) noise, or they are unstable when used jointly with neural networks.
Revised: Many purely neural network based speech separation approaches have been proposed that greatly improve objective assessment scores, but they often introduce nonlinear distortions that are harmful to automatic speech recognition (ASR) systems . Minimum variance distortionless response (MVDR) filters strive to remove nonlinear distortions, however, these approaches either are not optimal for removing residual (linear) noise, or they are unstable when used jointly with neural networks.
Edit intent: clarity
Original: Many purely neural network based speech separation approaches have been proposed that greatly improve objective assessment scores, but they often introduce nonlinear distortions that are harmful to  automatic speech recognition (ASR)  . Minimum variance distortionless response (MVDR) filters strive to remove nonlinear distortions, however, these approaches either are not optimal for removing residual (linear) noise, or they are unstable when used jointly with neural networks.
Revised: Many purely neural network based speech separation approaches have been proposed that greatly improve objective assessment scores, but they often introduce nonlinear distortions that are harmful to automatic speech recognition (ASR) . Minimum variance distortionless response (MVDR) filters are often adopted to remove nonlinear distortions, however, these approaches either are not optimal for removing residual (linear) noise, or they are unstable when used jointly with neural networks.
Edit intent: clarity
Original:  The  MCMF ADL-MVDR handles different numbers of microphone channels in one framework, where it addresses linear and nonlinear distortions.
Revised:  The MCMF ADL-MVDR system addresses linear and nonlinear distortions.
Edit intent: clarity
Original:  The proposed system is evaluated using a Mandarin audio-visual corpora and is compared with several state-of-the-art approaches.
Revised:  The proposed systems are evaluated using a Mandarin audio-visual corpora and is compared with several state-of-the-art approaches.
Edit intent: fluency
Original:  The proposed system is evaluated using a Mandarin audio-visual corpora and is compared with several state-of-the-art approaches.
Revised:  The proposed system is evaluated using a Mandarin audio-visual corpus and are compared with several state-of-the-art approaches.
Edit intent: fluency
Original:  Experimental results demonstrate the superiority of our proposed framework under different scenarios and across several objective evaluation metrics, including ASR performance.
Revised:  Experimental results demonstrate the superiority of our proposed systems under different scenarios and across several objective evaluation metrics, including ASR performance.
Edit intent: clarity
Original: An LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G MTC heterogeneous networkswhere URLLC and mMTC devices coexist.
Revised: An LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machinetype communication (MTC) networks, where ultra-reliable low latency communications (URLLC) and massive MTC (mMTC) devices coexist.
Edit intent: clarity
Original:  This scheme employs an attention-based LSTM prediction model to predict the number of active URLLC devices, determines the parameters of the multi-user detection algorithm dynamically, and then allows URLLC devices to access the network via a two-step contention-free access procedure , to meet latency and reliability access requirements ;
Revised:  This scheme allows URLLC devices to access the network via a two-step contention-free access procedure , to meet latency and reliability access requirements ;
Edit intent: coherence
Original:  This scheme employs an attention-based LSTM prediction model to predict the number of active URLLC devices, determines the parameters of the multi-user detection algorithm dynamically, and then allows URLLC devices to access the network via a two-step contention-free access procedure , to meet latency and reliability access requirements ;
Revised:  This scheme employs an attention-based LSTM prediction model to predict the number of active URLLC devices, determines the parameters of the multi-user detection algorithm dynamically, and then allows URLLC devices to access the network via a two-step contentionfree access procedure to satisfy latency and reliability access requirements ;
Edit intent: clarity
Original:  mMTC devices access the network via a contentionbased TA-aided access mechanism to meet massive access requirement.
Revised:  mMTC devices access the network via a contention-based timing advance (TA)-aided access procedure to meet massive access requirement.
Edit intent: clarity
Original:  Numerical results show that, compared to the benchmark schemes, the  LSTMH-RA scheme significantly improves the successful access probability, and satisfies the diverse QoS requirements of URLLC and mMTC devices 
Revised:  Numerical results show that, compared to the benchmark schemes, the proposed LSTMH-RA scheme significantly improves the successful access probability, and satisfies the diverse QoS requirements of URLLC and mMTC devices 
Edit intent: clarity
Original:  Numerical results show that, compared to the benchmark schemes, the  LSTMH-RA scheme significantly improves the successful access probability, and satisfies the diverse QoS requirements of URLLC and mMTC devices 
Revised:  Numerical results show that, compared to the benchmark schemes, the LSTMH-RA scheme significantly improves the successful access probability, and satisfies the diverse QoS requirements of URLLC and mMTC devices .
Edit intent: fluency
Original: An LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machinetype communication (MTC) networks, where  ultra-reliable low latency communications (URLLC) and massive MTC (mMTC) devices coexist.
Revised: In this paper, an LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machinetype communication (MTC) networks, where ultra-reliable low latency communications (URLLC) and massive MTC (mMTC) devices coexist.
Edit intent: clarity
Original: An LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machinetype communication (MTC) networks, where  ultra-reliable low latency communications (URLLC) and massive MTC (mMTC) devices coexist.
Revised: An LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machine-type communication (MTC) networks, where ultra-reliable low latency communications (URLLC) and massive MTC (mMTC) devices coexist.
Edit intent: fluency
Original: An LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machinetype communication (MTC) networks, where  ultra-reliable low latency communications (URLLC) and massive MTC (mMTC) devices coexist.
Revised: An LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machinetype communication (MTC) networks, where ultra-reliable low latency communications (URLLC) devices coexist.
Edit intent: coherence
Original:  This scheme allows URLLC devices to access the network via a two-step contentionfree access procedure to satisfy latency and reliability access requirements, and mMTC devices to access the network via a contention-based timing advance (TA)-aided access procedure to meet massive access requirement .
Revised:  This scheme allows URLLC devices to access the network via a two-step contentionfree access procedure to satisfy latency and reliability access requirements, and mMTC devices to access the network via a timing advance (TA)-aided access procedure to meet massive access requirement .
Edit intent: clarity
Original:  Furthermore, to reduce the latency of URLLC devices ,  we propose an attention-based LSTM prediction model to predict the number of active URLLC devices, and thus determining the parameters of the multi-user detection algorithm dynamically .
Revised:  Furthermore, to reduce the latency of URLLC devices , we propose an attention-based LSTM prediction model to predict the number of active URLLC devices, thereby determining the parameters of the multi-user detection algorithm dynamically .
Edit intent: coherence
Original:  Numerical results show that, compared to the benchmark schemes, the proposed LSTMH-RA scheme significantly improves the successful access probability, and satisfies the diverse QoS requirements of URLLC and mMTC devices.
Revised:  Numerical results show that, compared with the benchmark schemes, the proposed LSTMH-RA scheme significantly improves the successful access probability, and satisfies the diverse QoS requirements of URLLC and mMTC devices.
Edit intent: fluency
Original:  Numerical results show that, compared to the benchmark schemes, the proposed LSTMH-RA scheme significantly improves the successful access probability, and satisfies the diverse QoS requirements of URLLC and mMTC devices.
Revised:  Numerical results show that, compared to the benchmark schemes, the proposed LSTMH-RA scheme can significantly improve the successful access probability, and satisfies the diverse QoS requirements of URLLC and mMTC devices.
Edit intent: clarity
Original:  Numerical results show that, compared to the benchmark schemes, the proposed LSTMH-RA scheme significantly improves the successful access probability, and satisfies the diverse QoS requirements of URLLC and mMTC devices.
Revised:  Numerical results show that, compared to the benchmark schemes, the proposed LSTMH-RA scheme significantly improves the successful access probability, and thus satisfy the diverse QoS requirements of URLLC and mMTC devices.
Edit intent: coherence
Original: Machine learning is a double-edged sword: it gives rise to astonishing results in automated systems, but at the cost of tremendously large data requirements.
Revised: While Machine learning gives rise to astonishing results in automated systems, but at the cost of tremendously large data requirements.
Edit intent: coherence
Original: Machine learning is a double-edged sword: it gives rise to astonishing results in automated systems, but at the cost of tremendously large data requirements.
Revised: Machine learning is a double-edged sword: it gives rise to astonishing results in automated systems, it is usually at the cost of tremendously large data requirements.
Edit intent: coherence
Original: Machine learning is a double-edged sword: it gives rise to astonishing results in automated systems, but at the cost of tremendously large data requirements.
Revised: Machine learning is a double-edged sword: it gives rise to astonishing results in automated systems, but at the cost of large data requirements.
Edit intent: clarity
Original:  This raises the question  how easy machine learning algorithms are to interact with.
Revised:  This raises the question of how easy machine learning algorithms are to interact with.
Edit intent: fluency
Original:  In this work  we address this issue by analyzing the intuitiveness of certain algorithms when they are actively taught by users.
Revised:  In this work , we address this issue by analyzing the intuitiveness of certain algorithms when they are actively taught by users.
Edit intent: fluency
Original:  After developing a theoretical framework of intuitiveness as a property of algorithms, we  present and discuss the results of a large-scale user study into the performance and teaching strategies of 800 users interacting with  prominent machine learning algorithms . Via this extensive examination we offer a systematic method to judge the efficacy of human-machine interactions and thus, to scrutinize how accessible, understandable, and fair, a system is .
Revised:  After developing a theoretical framework of intuitiveness as a property of algorithms, we present and discuss the results of a large-scale user study into the performance and teaching strategies of 800 users interacting with prominent machine learning algorithms . Via this extensive examination we offer a systematic method to judge the efficacy of human-machine interaction .
Edit intent: coherence
Original: In this paper, we design and analyze  new methods based on Additive Average Schwarz--AAS Method introduced in 3 . The new methods are designed for elliptic problems with highly heterogeneous coefficients.
Revised: In this paper, we design and analyze new methods based on 3 . The new methods are designed for elliptic problems with highly heterogeneous coefficients.
Edit intent: coherence
Original:  The methods are of  non-overlapping type  and the subdomain interactions are obtained via the coarse space.
Revised:  The methods are of the non-overlapping type and the subdomain interactions are obtained via the coarse space.
Edit intent: fluency
Original:  The methods are of  non-overlapping type  and the subdomain interactions are obtained via the coarse space.
Revised:  The methods are of non-overlapping type , and the subdomain interactions are obtained via the coarse space.
Edit intent: fluency
Original:  The methods are of  non-overlapping type  and the subdomain interactions are obtained via the coarse space.
Revised:  The methods are of non-overlapping type and the subdomain interactions obtain via the coarse space.
Edit intent: fluency
Original:  The first method is the Minimum Energy Schwarz--MES Method, it has the best coarse space with one degree of freedom per subdomain.
Revised:  The first method is the minimum energy Schwarz -- MES method. MES has the minimum energy for the coarse space with one degree of freedom per subdomain.
Edit intent: clarity
Original:  The first method is the Minimum Energy Schwarz--MES Method, it has the best coarse space with one degree of freedom per subdomain.
Revised:  The first method is the Minimum Energy Schwarz--MES Method, it has the best coarse space with constant extension inside each subdomain.
Edit intent: clarity
Original:  The condition number of MES is always smaller than AAS methods .
Revised:  The condition number of the MES method is always smaller than AAS methods .
Edit intent: clarity
Original:  The condition number of MES is always smaller than AAS methods .
Revised:  The condition number of MES is always smaller than in the AAS method .
Edit intent: clarity
Original:  The second class of methods is the Non-overlapping Spectral Additive Schwarz--NOSAS methods , they are based in low-rank discrete energy harmonic extension in each subdomain.
Revised:  The second class of methods is the non-overlapping spectral additive Schwarz -- NOSAS methods based on low-rank discrete energy harmonic extension in each subdomain.
Edit intent: coherence
Original:  We prove that the condition number of NOSAS methods do not depend on the coefficients , and with a specific choice of the threshold of the eigenvalues, we can obtain condition numbers for the preconditioned system similar to the AAS method with constant coefficients .
Revised:  We prove that the condition number of NOSAS methods do not depend on the coefficients .
Edit intent: coherence
Original: The Transient objective is not to visit any state infinitely often.
Revised: The Transience objective is not to visit any state infinitely often.
Edit intent: fluency
Original:  While this is not possible in any finite Markov Decision Process (MDP), it can be satisfied in countably infinite ones, e.g., if the transition graph is acyclic.
Revised:  While this is not possible in finite Markov Decision Process (MDP), it can be satisfied in countably infinite ones, e.g., if the transition graph is acyclic.
Edit intent: clarity
Original:  We prove the following fundamental properties of Transient in countably infinite MDPs. 1. There exist uniformly \epsilon-optimal MD strategies (memoryless deterministic) for Transient , even in infinitely branching MDPs. 2. Optimal strategies for Transient need not exist, even if the MDP is finitely branching.
Revised:  We prove the following fundamental properties of Transience in countably infinite MDPs. 1. There exist uniformly \epsilon-optimal MD strategies (memoryless deterministic) for Transient , even in infinitely branching MDPs. 2. Optimal strategies for Transient need not exist, even if the MDP is finitely branching.
Edit intent: fluency
Original:  We prove the following fundamental properties of Transient in countably infinite MDPs. 1. There exist uniformly \epsilon-optimal MD strategies (memoryless deterministic) for Transient , even in infinitely branching MDPs. 2. Optimal strategies for Transient need not exist, even if the MDP is finitely branching.
Revised:  We prove the following fundamental properties of Transient in countably infinite MDPs. 1. There exist uniformly \epsilon-optimal MD strategies (memoryless deterministic) for Transience , even in infinitely branching MDPs. 2. Optimal strategies for Transient need not exist, even if the MDP is finitely branching.
Edit intent: fluency
Original:  We prove the following fundamental properties of Transient in countably infinite MDPs. 1. There exist uniformly \epsilon-optimal MD strategies (memoryless deterministic) for Transient , even in infinitely branching MDPs. 2. Optimal strategies for Transient need not exist, even if the MDP is finitely branching.
Revised:  We prove the following fundamental properties of Transient in countably infinite MDPs. 1. There exist uniformly \epsilon-optimal MD strategies (memoryless deterministic) for Transient , even in infinitely branching MDPs. 2. Optimal strategies for Transience need not exist, even if the MDP is finitely branching.
Edit intent: fluency
Original:  Deciding whether an acyclic digraph has an oriented 4-coloring is NP-hard, which motivates to consider the problem on special graph classes.
Edit intent: coherence
Original:  We give an analytical solution to a simple problem and verify optimality and uniqueness of the corresponding HJB equation .
Revised:  We give optimality and comparison results of the corresponding HJB equation .
Edit intent: clarity
Original:  To manage HJB equationsin more general cases , we propose a fast sweep method resorting to neither pseudo-time integration nor vanishing discount.
Revised:  To manage HJB equationsin more general cases , we propose a new fast-sweep method resorting to neither pseudo-time integration nor vanishing discount.
Edit intent: clarity
Original:  We also consider  version based on p-Schatten norms.
Revised:  We introduce version based on p-Schatten norms.
Edit intent: coherence
Original:  Instead of reinventing the wheel, SimBricks is a modular framework for combining existing tried-and-true simulators for individual components,  processor and memory, NIC, and network, into complete testbeds capable of running unmodified systems.
Revised:  Instead of reinventing the wheel, SimBricks is a modular framework for combining existing tried-and-true simulators for individual components, including processor and memory, NIC, and network, into complete testbeds capable of running unmodified systems.
Edit intent: clarity
Original:  In our evaluation, we reproduce key findings from prior work , including dctcp congestion control, NOPaxos in-network consensus acceleration, and the Corundum FPGA NIC .
Revised:  In our evaluation, we reproduce key findings from prior work in congestion control, NOPaxos in-network consensus acceleration, and the Corundum FPGA NIC .
Edit intent: clarity
Original:  When the path is restricted to have at most n-2 turns, we show that the approximate problem becomes NP-complete, and the exact problem becomes ETR-complete.
Revised:  When the path is restricted to have at most n-2 turns, we show that the approximate problem is NP-complete, and the exact problem becomes ETR-complete.
Edit intent: fluency
Original:  When the path is restricted to have at most n-2 turns, we show that the approximate problem becomes NP-complete, and the exact problem becomes ETR-complete.
Revised:  When the path is restricted to have at most n-2 turns, we show that the approximate problem becomes NP-complete, and the exact problem is ETR-complete.
Edit intent: fluency
Original:  We prove that the resulting plane wave spaces have high order h-approximations %DIFDELCMD < {\it %%% without wave number pollution as the standard plane wave spaces (which are available only to the case with constant wave number).
Revised:  We prove that the resulting plane wave spaces have high order h-approximations %DIFDELCMD < {\it %%% as the standard plane wave spaces (which are available only to the case with constant wave number).
Edit intent: clarity
Original:  Efficient boundary element methods (BEM), such as the fast multipole method (FMM) and H-matrix \Hmat based methods, focus on structured low-rank approximations of subblocks in these systems.
Revised:  Efficient boundary element methods (BEM), such as the fast multipole method (FMM) and \Hmat based methods, focus on structured low-rank approximations of subblocks in these systems.
Edit intent: clarity
Original:  Algebraically, this leads to a Hadamard product of a frequency matrix with an H-matrix \Hmat .
Revised:  Algebraically, this leads to a Hadamard product of a frequency matrix with an \Hmat .
Edit intent: clarity
Original:  We show that the frequency dependency of this H-matrix \Hmat can be determined using a small number of frequency samples, even for geometrically complex three-dimensional scattering obstacles.
Revised:  We show that the frequency dependency of this \Hmat can be determined using a small number of frequency samples, even for geometrically complex three-dimensional scattering obstacles.
Edit intent: clarity
Original:  and (iii) the Sustainable Roof Index, a derivative from the registry, to benchmark the cities by the extent of sustainable roofscape in term of solar and green roof penetration.
Revised:  and (iii) the Roofpedia Index, a derivative from the registry, to benchmark the cities by the extent of sustainable roofscape in term of solar and green roof penetration.
Edit intent: clarity