wanyu/IteraTeR_v2 huggingface dataset:
Original: This paper presents a self-supervised deep neural network solution to speech denoising by easing the requirement that clean speech signals need to be available for network training.
Revised: This paper presents a self-supervised deep neural network solution to speech denoising by easing the requirement that clean speech signals need to be available for training.
Edit intent: clarity
Original:  This solution is more suited for field deployment compared to the conventional deep learning-based solutions since under realistic audio conditions the only signals which are available for training are noisy speech signals and not clean speech signals .
Revised:  This solution is more suited for field deployment compared to the conventional deep learning-based approach to improve speech denoising in real-world audio environments by not requiring the availability of clean speech signals in a self-supervised manner. A fully convolutional neural network is trained by using two noisy realizations of the same speech signal, one used as the input and the other as the output of the network. Extensive experimentations are conducted to show the superiority of the developed deep speech denoising approach over the conventional supervised deep speech denoising approach based on four commonly used performance metrics and also based on actual field-testing outcomes .
Edit intent: clarity
Original:  To meet both ends, security , and searchability, search-supported encryption is proposed.
Revised:  To meet both end of security and searchability, search-supported encryption is proposed.
Edit intent: clarity
Original:  In this paper, we propose a new scheme of multi-keyword fuzzy search scheme over encrypted and outsourced data.
Revised:  In this paper, we propose a new scheme of multi-keyword fuzzy search over encrypted and outsourced data.
Edit intent: clarity
Original:  These two innovations can work well contributing to accuracy and efficiency respectively.
Revised:  These two innovations can work well for both accuracy and efficiency respectively.
Edit intent: clarity
Original:  Experiments on  real-world dataset demonstrate the effectiveness of our proposed approach, which outperforms currently popular approaches focusing on similar tasks as well .
Revised:  Experiments on a real-world dataset demonstrate the effectiveness of our proposed approach, which outperforms currently popular approaches focusing on similar tasks as well .
Edit intent: fluency
Original:  Experiments on  real-world dataset demonstrate the effectiveness of our proposed approach, which outperforms currently popular approaches focusing on similar tasks as well .
Revised:  Experiments on real-world dataset demonstrate the effectiveness of our proposed approach, which outperforms currently popular approaches focusing on similar tasks .
Edit intent: clarity
Original:  For example, in the acoustic scene ``office'' , the acoustic events ``mouse clicking'' and ``keyboard typing'' are likely to occur.
Revised:  For example, in the acoustic scene `office' , the acoustic events ``mouse clicking'' and ``keyboard typing'' are likely to occur.
Edit intent: fluency
Original:  For example, in the acoustic scene ``office'' , the acoustic events ``mouse clicking'' and ``keyboard typing'' are likely to occur.
Revised:  For example, in the acoustic scene ``office'' , the acoustic events `mouse clicking' and `keyboard typing' are likely to occur.
Edit intent: fluency
Original: As different layouts can characterize different aspects of the same graph , finding a "good" layout of a graph is  an important task for graph visualization.
Revised: Different layouts can characterize different aspects of the same graph , finding a "good" layout of a graph is an important task for graph visualization.
Edit intent: coherence
Original: As different layouts can characterize different aspects of the same graph , finding a "good" layout of a graph is  an important task for graph visualization.
Revised: As different layouts can characterize different aspects of the same graph . Finding a "good" layout of a graph is an important task for graph visualization.
Edit intent: fluency
Original: As different layouts can characterize different aspects of the same graph , finding a "good" layout of a graph is  an important task for graph visualization.
Revised: As different layouts can characterize different aspects of the same graph , finding a "good" layout of a graph is thus an important task for graph visualization.
Edit intent: coherence
Original:  While many methods have been proposed for the denoising of static point clouds, dynamic point cloud denoising has not been studied in the literature yet.
Revised:  While a plethora of methods have been proposed for the denoising of static point clouds, dynamic point cloud denoising has not been studied in the literature yet.
Edit intent: clarity
Original:  While many methods have been proposed for the denoising of static point clouds, dynamic point cloud denoising has not been studied in the literature yet.
Revised:  While many methods have been proposed for static point cloud denoising has not been studied in the literature yet.
Edit intent: clarity
Original:  Hence, we address this problem based on the proposed spatio-temporal graph modeling , exploiting both the intra-frame similarity and inter-frame consistency.
Revised:  Hence, we address this problem based on the proposed spatio-temporal graph learning , exploiting both the intra-frame similarity and inter-frame consistency.
Edit intent: clarity
Original:  This leads to our problem formulation, which jointly optimizes the underlying dynamic point cloud and spatio-temporal graph . Finally, we propose an efficient algorithm for patch construction, similar/corresponding patch search, intra- and inter-frame graph construction, and the optimization of our problem formulation via alternating minimization.
Revised:  This leads to our problem formulation, which jointly optimizes the underlying dynamic point cloud and spatio-temporal graph . Finally, we propose an efficient algorithm for patch construction, similar/corresponding patch search, intra- and inter-frame consistency and is solved via alternating minimization.
Edit intent: clarity
Original: In this work, we present a predator-prey type model where the two predator species engage in mutualistic predation.
Revised: We first present a predator-prey type model where the two predator species engage in mutualistic predation.
Edit intent: clarity
Original:  Linear stability analysis of the resulting models is performed and it is shown that harvesting is sustainable .
Revised:  Necessary sufficient conditions for the existence and stability of positive equilibrium points are examined. It is shown that harvesting is sustainable .
Edit intent: clarity
Original: As low-cost surveillance cameras grow rapidly , we advocate for these cameras to be zero streaming: ingesting videos directly to their local storage and only communicating with the cloud in response to queries.
Revised: As low-cost surveillance cameras proliferate , we advocate for these cameras to be zero streaming: ingesting videos directly to their local storage and only communicating with the cloud in response to queries.
Edit intent: clarity
Original: As low-cost surveillance cameras proliferate, we advocate for these cameras to be zero streaming: ingesting videos directly to their  local storage and only communicating with the cloud in response to queries.
Revised: As low-cost surveillance cameras proliferate, we advocate for these cameras to be zero-streaming: they capture videos directly to their local storage and only communicating with the cloud in response to queries.
Edit intent: clarity
Original: As low-cost surveillance cameras proliferate, we advocate for these cameras to be zero streaming: ingesting videos directly to their  local storage and only communicating with the cloud in response to queries.
Revised: As low-cost surveillance cameras proliferate, we advocate for these cameras to be zero streaming: ingesting videos directly to their local storage and only communicate with the cloud in response to queries.
Edit intent: fluency
Original:  in executing one query, a camera processes frames in multiple passes with multiple operators trained and picked by the cloud during the query, rather than one-pass processing with operator(s) decided ahead of the query.
Revised:  in executing one query, a camera processes frames in multiple passes with multiple operators trained and picked by the cloud during the query, rather than one pass processing with operator(s) decided ahead of the query.
Edit intent: fluency
Original: Low-cost cameras grow rapidly, producing colossal videos that enable powerful analytics but also stress network and compute resources .
Revised: Low-cost cameras enable powerful analytics but also stress network and compute resources .
Edit intent: clarity
Original: Low-cost cameras grow rapidly, producing colossal videos that enable powerful analytics but also stress network and compute resources .
Revised: Low-cost cameras grow rapidly, producing colossal videos that enable powerful analytics .
Edit intent: clarity
Original:  An unexploited opportunity is that most of the videos remain "cold" without ever being queried.
Revised:  An unexploited opportunity is that most captured videos remain "cold" without ever being queried.
Edit intent: clarity
Original:  An unexploited opportunity is that most of the videos remain "cold" without ever being queried.
Revised:  An unexploited opportunity is that most of the videos remain "cold" without being queried.
Edit intent: clarity
Original:  For resource efficiency, we advocate for these cameras to be zero-streaming: they capture videos directly to their cheap local storage and only communicate with the cloud  when analytics is requested.
Revised:  For efficiency, we advocate for these cameras to be zero-streaming: they capture videos directly to their cheap local storage and only communicate with the cloud when analytics is requested.
Edit intent: clarity
Original:  For resource efficiency, we advocate for these cameras to be zero-streaming: they capture videos directly to their cheap local storage and only communicate with the cloud  when analytics is requested.
Revised:  For resource efficiency, we advocate for these cameras to be zero streaming: capturing videos to local storage and only communicate with the cloud when analytics is requested.
Edit intent: clarity
Original:  For resource efficiency, we advocate for these cameras to be zero-streaming: they capture videos directly to their cheap local storage and only communicate with the cloud  when analytics is requested.
Revised:  For resource efficiency, we advocate for these cameras to be zero-streaming: they capture videos directly to their cheap local storage and communicating with the cloud when analytics is requested.
Edit intent: clarity
Original:  For resource efficiency, we advocate for these cameras to be zero-streaming: they capture videos directly to their cheap local storage and only communicate with the cloud  when analytics is requested.
Revised:  For resource efficiency, we advocate for these cameras to be zero-streaming: they capture videos directly to their cheap local storage and only communicate with the cloud only when analytics is requested.
Edit intent: coherence
Original: During muscle contraction, myosin motors anchored on thick filaments bind to and slide actin thin filaments.
Revised: During muscle contraction, myosin motors anchored to thick filaments bind to and slide actin thin filaments.
Edit intent: fluency
Original:  If so, then the lattice changes volume during contraction and could provide fluid motion and hence assist in transport of molecules between the contractile lattice and  surrounding intracellular space.
Revised:  If so, then the lattice changes volume during contraction , driving fluid motion and hence assist in transport of molecules between the contractile lattice and surrounding intracellular space.
Edit intent: clarity
Original:  If so, then the lattice changes volume during contraction and could provide fluid motion and hence assist in transport of molecules between the contractile lattice and  surrounding intracellular space.
Revised:  If so, then the lattice changes volume during contraction and could provide fluid motion and assisting in the transport of molecules between the contractile lattice and surrounding intracellular space.
Edit intent: coherence
Original:  If so, then the lattice changes volume during contraction and could provide fluid motion and hence assist in transport of molecules between the contractile lattice and  surrounding intracellular space.
Revised:  If so, then the lattice changes volume during contraction and could provide fluid motion and hence assist in transport of molecules between the contractile lattice and the surrounding intracellular space.
Edit intent: fluency
Original:  We first create a convective-diffusive flow model and show that  flow into and out of the sarcomere lattice would be significant in the absence of lattice expansion.
Revised:  We first create a convective-diffusive flow model and show that the flow into and out of the sarcomere lattice would be significant in the absence of lattice expansion.
Edit intent: fluency
Original:  Convective transport coupled to diffusion has the potential to substantially enhance metabolite exchange within the crowded sarcomere.
Revised:  Advective transport coupled to diffusion has the potential to substantially enhance metabolite exchange within the crowded sarcomere.
Edit intent: fluency
Original:  Using time resolved x-ray diffraction of contracting muscle  we next show that the contractile lattice is neither isovolumetric , nor constant in spacing.
Revised:  Using time-resolved x-ray diffraction of contracting muscle we next show that the contractile lattice is neither isovolumetric , nor constant in spacing.
Edit intent: fluency
Original:  Using time resolved x-ray diffraction of contracting muscle  we next show that the contractile lattice is neither isovolumetric , nor constant in spacing.
Revised:  Using time resolved x-ray diffraction of contracting muscle , we next show that the contractile lattice is neither isovolumetric , nor constant in spacing.
Edit intent: fluency
Original:  Using time resolved x-ray diffraction of contracting muscle  we next show that the contractile lattice is neither isovolumetric , nor constant in spacing.
Revised:  Using time resolved x-ray diffraction of contracting muscle we next show that the contractile lattice is neither isovolumetric nor constant in spacing.
Edit intent: fluency
Original:  Instead  lattice spacing is time-varying, depends on activation, and can manifest a negative (auxetic) Poisson ratio.
Revised:  Instead , lattice spacing is time-varying, depends on activation, and can manifest a negative (auxetic) Poisson ratio.
Edit intent: fluency
Original:  This unusual material behavior arises from the multiscale interaction of muscle axial strain, lattice spacing and myosin binding.
Edit intent: coherence
Original:  The resulting fluid flow in the sarcomere lattice  is even greater than would be expected from constant lattice spacing conditions.
Revised:  The resulting fluid flow in the sarcomere lattice is even greater than expected from constant lattice spacing conditions.
Edit intent: clarity
Original:  Akin to ``breathing,'' convective-diffusive transport in sarcomeres is sufficient to promote metabolite exchange , and may play a role in the regulation of contraction itself.
Revised:  Akin to ``breathing,'' convective-diffusive transport in sarcomeres is sufficient to promote metabolite exchange and may play a role in the regulation of contraction itself.
Edit intent: fluency
Original:  The radial spacing of filaments in this lattice may change or remain constant during during contraction.
Revised:  The radial spacing of filaments in this lattice may change or remain constant during contraction.
Edit intent: fluency
Original:  The resulting fluid flow in the sarcomere lattice of synchronous insect flight muscles is even greater than expected from constant lattice spacing conditions.
Revised:  The resulting fluid flow in the sarcomere lattice of synchronous insect flight muscles is greater than expected from constant lattice spacing conditions.
Edit intent: clarity
Original:  The resulting fluid flow in the sarcomere lattice of synchronous insect flight muscles is even greater than expected from constant lattice spacing conditions.
Revised:  The resulting fluid flow in the sarcomere lattice of synchronous insect flight muscles is even greater than expected for constant lattice spacing conditions.
Edit intent: clarity
Original:   Volume change and advective solute transport varies with the phase of muscle stimulation during periodic contraction but remains significant at all conditions . Nonetheless, advective transport varies will occur in all cases where the sarcomere is not isovolumetric .
Revised:  Volume change and advective solute transport varies with the phase of muscle stimulation during periodic contraction but remains significant at all conditions .
Edit intent: coherence
Original:  The differential equation is the continuous-time model in human brains and the difference equation the disceret-time model in computers for the dynamical system.
Revised:  The differential equation is the physical model in human brains and the difference equation the disceret-time model in computers for the dynamical system.
Edit intent: clarity
Original:  The differential equation is the continuous-time model in human brains and the difference equation the disceret-time model in computers for the dynamical system.
Revised:  The differential equation is the continuous-time model in human brains and the difference equation the cyber model in computers for the dynamical system.
Edit intent: fluency
Original:   This paper formulates a hybrid model with impulsive differential equations for the dynamical system, which integrates its continuous-time model in human brains and its discrete-time counterpart in computers.
Revised:  This paper formulates a hybrid model with impulsive differential equations for the dynamical system, which integrates its continuous-time model in human brains and its cyber counterpart in computers.
Edit intent: clarity
Original:  When utilizing the same structural properties in an adaptive greedy algorithm, further experiments suggest that  this leads to even better approximations than the standard greedy approach on real instances .
Revised:  When utilizing the same structural properties in an adaptive greedy algorithm, further experiments suggest that , on real instances, this leads to even better approximations than the standard greedy approach on real instances .
Edit intent: fluency
Original:  When utilizing the same structural properties in an adaptive greedy algorithm, further experiments suggest that  this leads to even better approximations than the standard greedy approach on real instances .
Revised:  When utilizing the same structural properties in an adaptive greedy algorithm, further experiments suggest that this leads to better approximations than the standard greedy approach on real instances .
Edit intent: clarity
Original:  When utilizing the same structural properties in an adaptive greedy algorithm, further experiments suggest that  this leads to even better approximations than the standard greedy approach on real instances .
Revised:  When utilizing the same structural properties in an adaptive greedy algorithm, further experiments suggest that this leads to even better approximations than the standard greedy approach within reasonable time .
Edit intent: clarity
Original: Modeling item complementariness and user preferences from purchase data is essential for learning good representations of products and customers, which empowers the modern personalized recommender system for Walmart's e-commerce platform.
Revised: Learning product representations that reflect complementary relationship plays a central role in modern recommender system for Walmart's e-commerce platform.
Edit intent: clarity
Original: Modeling item complementariness and user preferences from purchase data is essential for learning good representations of products and customers, which empowers the modern personalized recommender system for Walmart's e-commerce platform.
Revised: Modeling item complementariness and user preferences from purchase data is essential for learning good representations of products and customers, which empowers the modern personalized recommender system for e-commerce platform.
Edit intent: clarity
Original:  Also, standard usage of representation learning emphasizes on only one set of embedding, which is problematic for modelling the asymmetric property of complementariness.
Revised:  Also, standard usage of representation learning emphasizes on only one set of embedding, which is problematic for modelling such properties of complementariness.
Edit intent: clarity
Original:  We propose using context-aware multi-tasking learning with dual product embedding to solve the above challenges.
Revised:  We propose using knowledge-aware learning with dual product embedding to solve the above challenges.
Edit intent: clarity
Original:  We encode contextual knowledge into product representation by multi-task learning, in order to alleviate the sparsity issue.
Revised:  We encode contextual knowledge into product representation by multi-task learning, to alleviate the sparsity issue.
Edit intent: coherence
Original:  By explicitly modelling with user bias terms, we take care of the noise induced by customer-specific preferences  .
Revised:  By explicitly modelling with user bias terms, we separate the noise of customer-specific preferences .
Edit intent: clarity
Original:  The proposed method compares favourably to state-of-art representation learning and recommendation algorithms for e-commerce , in downstream classification and recommendation tasks.
Revised:  The proposed method compares favourably to state-of-art methods , in downstream classification and recommendation tasks.
Edit intent: clarity
Original:  Table detection and extraction has been studied in the context of documents like scientific papers , where tables are clearly outlined and stand out from the visual document structure .
Revised: Abstract--- Table detection and extraction has been studied in the context of documents like scientific papers , where tables are clearly outlined and stand out from the visual document structure .
Edit intent: coherence
Original:  Table detection and extraction has been studied in the context of documents like scientific papers , where tables are clearly outlined and stand out from the visual document structure .
Revised:  Table detection and extraction has been studied in the context of documents like reports , where tables are clearly outlined and stand out from the visual document structure .
Edit intent: clarity
Original:  Table detection and extraction has been studied in the context of documents like scientific papers , where tables are clearly outlined and stand out from the visual document structure .
Revised:  Table detection and extraction has been studied in the context of documents like scientific papers , where tables are clearly outlined and stand out from the document structure visually .
Edit intent: clarity
Original:  We will also show, that we can extract different structural information from different table-like structures  .
Revised:  We will also show, that we can extract specific information from structurally different tables or table-like structures .
Edit intent: clarity
Original:  We show that NodeTrix planarity testing with fixed sides is fixed-parameter tractable when parameterized by the size of the clusters and by the tree-width of the multi-graph obtained by collapsing the clusters to single vertices  .
Revised:  We show that NodeTrix planarity testing with fixed sides is fixed-parameter tractable when parameterized by the size of the clusters and by the treewidth of the multi-graph obtained by collapsing the clusters to single vertices .
Edit intent: clarity