wanyu/IteraTeR_v2 huggingface dataset:
Original:  The system requires considerably less explicit modelling of voice features such as F0 patterns, vibratos, and note and phoneme durations, than most models in the literature.
Revised:  The system requires considerably less explicit modelling of voice features such as F0 patterns, vibratos, and note and phoneme durations, than previous models in the literature.
Edit intent: clarity
Original:   However, we observe that  completely dispensing with any duration modelling introduces occasional instabilities in the generated spectrograms.
Revised:  However, we observe that , by completely dispensing with any duration modelling introduces occasional instabilities in the generated spectrograms.
Edit intent: coherence
Original: Research has found that many occupational accidents are foreseeable, being the result of people's unsafe behaviour from a retrospective point of view.
Edit intent: coherence
Original:  In recent years, researchers have found that people do have stable predispositions to engage in certain safety behavioural patterns which vary among individuals as a function of personality features .
Revised:  In recent years, researchers have found that people do have stable predispositions to engage in certain safety behavioural patterns which vary among individuals as a function of their personality traits .
Edit intent: clarity
Original:  The machine learning model developed can help identify vulnerable workers who are more prone to undertake unsafe behaviours, which is proven to have good prediction accuracy and is thereby potentially useful for decision making and safety management on construction sites .
Revised:  The neural network developed is shown to have highly satisfactory prediction accuracy and is thereby potentially useful for decision making and safety management on construction sites .
Edit intent: clarity
Original:  For this, we couple a systems of conservation laws for vehicular traffic with a system of linear partial differential equations carefully modeling the production of ozone caused by emission from vehicles .
Revised:  For this, we couple a system of conservation laws for vehicular traffic with a system of linear partial differential equations carefully modeling the production of ozone caused by emission from vehicles .
Edit intent: fluency
Original:  For this, we couple a systems of conservation laws for vehicular traffic with a system of linear partial differential equations carefully modeling the production of ozone caused by emission from vehicles .
Revised:  For this, we couple a systems of conservation laws for vehicular traffic with a system of linear partial differential equations for the main reactions leading to ozone production .
Edit intent: clarity
Original:  The second-order model for traffic is obtained choosing a special velocity function for a Collapsed Generalized Aw-Rascle-Zhang second-order model and is tuned on NGSIM data.
Revised:  The second-order model for traffic is obtained choosing a special velocity function for a Collapsed Generalized Aw-Rascle-Zhang model and is tuned on NGSIM data.
Edit intent: clarity
Original:  On the other side, the system of linear partial differential equations describes the main chemical reactions of NOx gases with a source term provided by a general emission model and the traffic ones .
Revised:  On the other side, the system of partial differential equations describes the main chemical reactions of NOx gases with a source term provided by a general emission model and the traffic ones .
Edit intent: clarity
Original:  On the other side, the system of linear partial differential equations describes the main chemical reactions of NOx gases with a source term provided by a general emission model and the traffic ones .
Revised:  On the other side, the system of linear partial differential equations describes the main chemical reactions of NOx gases with a source term provided by a general emission model applied to the output of the traffic model .
Edit intent: clarity
Original:  The second-order model for traffic is obtained  choosing a special velocity function for a Collapsed Generalized Aw-Rascle-Zhang model and is tuned on NGSIM data.
Revised:  The second-order model for traffic is obtained by choosing a special velocity function for a Collapsed Generalized Aw-Rascle-Zhang model and is tuned on NGSIM data.
Edit intent: fluency
Original: Even being on the brink of WiFi 6, IEEE 802.
Revised: Short time after the official launch of WiFi 6, IEEE 802.
Edit intent: clarity
Original: 11 working groups are already working on its successor in the wireless local area network (WLAN) ecosystem: WiFi 7.
Revised: 11 working groups are already designing its successor in the wireless local area network (WLAN) ecosystem: WiFi 7.
Edit intent: clarity
Original:  With  IEEE 802.
Revised:  With the IEEE 802.
Edit intent: fluency
Original: 11be amendment as one of its main constituent parts, future WiFi 7 aims to support time-sensitive networking (TSN) capabilities to offer low latency and ultra-reliability in license-exempt spectrum bands.
Revised: 11be amendment as one of its main constituent parts, future WiFi 7 aims to include time-sensitive networking (TSN) capabilities to offer low latency and ultra-reliability in license-exempt spectrum bands.
Edit intent: clarity
Original: 11be amendment as one of its main constituent parts, future WiFi 7 aims to support time-sensitive networking (TSN) capabilities to offer low latency and ultra-reliability in license-exempt spectrum bands.
Revised: 11be amendment as one of its main constituent parts, future WiFi 7 aims to support time-sensitive networking (TSN) capabilities to support low latency and ultra-reliability in license-exempt spectrum bands.
Edit intent: clarity
Original: 11be amendment as one of its main constituent parts, future WiFi 7 aims to support time-sensitive networking (TSN) capabilities to offer low latency and ultra-reliability in license-exempt spectrum bands.
Revised: 11be amendment as one of its main constituent parts, future WiFi 7 aims to support time-sensitive networking (TSN) capabilities to offer low latency and ultra reliability in license-exempt spectrum bands.
Edit intent: fluency
Original:  This article  introduces the key expected enhancements of IEEE 802.
Revised:  This article first introduces the key expected enhancements of IEEE 802.
Edit intent: coherence
Original:  This article  introduces the key expected enhancements of IEEE 802.
Revised:  This article introduces the key features of IEEE 802.
Edit intent: clarity
Original: The majority of the most common physical phenomena can be described using partial differential equations (PDEs) , however, they are very often characterized by strong nonlinearities.
Revised: The majority of the most common physical phenomena can be described using partial differential equations (PDEs) . However, they are very often characterized by strong nonlinearities.
Edit intent: fluency
Original:  In this work, after a more detailed description of the method, we will show the results that can be obtained using it to compute a bifurcation diagram associated to a problem governed by the Navier-Stokes (NS) equations.
Revised:  In this work, after a more detailed description of the method, we will show the results that can be obtained using it to compute a bifurcation diagram associated with a problem governed by the Navier-Stokes (NS) equations.
Edit intent: fluency
Original:  In this work, after a more detailed description of the method, we will show the results that can be obtained using it to compute a bifurcation diagram associated to a problem governed by the Navier-Stokes (NS) equations.
Revised:  In this work, after a more detailed description of the method, we will show the results that can be obtained using it to compute a bifurcation diagram associated to a problem governed by the Navier-Stokes equations.
Edit intent: clarity
Original: Efficient and collision-free navigation in multi-robot systems is fundamental to advancing mobility.
Revised: Effective communication is key to successful, decentralized, multi-robot systems is fundamental to advancing mobility.
Edit intent: clarity
Original:  We evaluate our method in simulations involving teams of robots in cluttered workspaces.
Revised:  We evaluate our method in simulations by navigating teams of robots in cluttered workspaces.
Edit intent: clarity
Original:  Towards this end, we introduce Deep Structured Implicit Functions ( DSIF ), a 3D shape representation that decomposes space into a structured set of local deep implicit functions.
Revised:  Towards this end, we introduce Local Deep Implicit Functions ( DSIF ), a 3D shape representation that decomposes space into a structured set of local deep implicit functions.
Edit intent: clarity
Original:  Towards this end, we introduce Deep Structured Implicit Functions ( DSIF ), a 3D shape representation that decomposes space into a structured set of local deep implicit functions.
Revised:  Towards this end, we introduce Deep Structured Implicit Functions ( DSIF ), a 3D shape representation that decomposes space into a structured set of learned implicit functions.
Edit intent: clarity
Original: We propose a new approach using the MJ_1 semi-metric, from the more general MJ_p class of semi-metrics \mbox{ James2019 with respect to returns and variance.
Revised: We propose a new approach using the MJ_1 semi-metric, from the more general MJ_p class of semi-metrics \mbox{ James2019 with respect to returns and variance.
Edit intent: fluency
Original: We propose two new methods for identifying similarity and anomalies among collections of time series , and apply these methods to analyse cryptocurrencies.
Revised: We propose two new methods for analysing the extreme and erratic behaviour of time series , and apply these methods to analyse cryptocurrencies.
Edit intent: clarity
Original:  Our focus is on systems and synthetic biology, where a key object of interest is coupled chemical reactions in a well-mixed solution formalized as chemical reaction networks (CRNs) . CRNs are pivotal for our understanding of biological regulatory and metabolic networks, as well as for programming engineered molecular behavior.
Revised:  The key object of interest is coupled chemical reactions in a well-mixed solution formalized as chemical reaction networks (CRNs) . CRNs are pivotal for our understanding of biological regulatory and metabolic networks, as well as for programming engineered molecular behavior.
Edit intent: coherence
Original:  Our focus is on systems and synthetic biology, where a key object of interest is coupled chemical reactions in a well-mixed solution formalized as chemical reaction networks (CRNs) . CRNs are pivotal for our understanding of biological regulatory and metabolic networks, as well as for programming engineered molecular behavior.
Revised:  Our focus is on systems and synthetic biology, where a key object of interest is coupled chemical reactions in a well-mixed solution . CRNs are pivotal for our understanding of biological regulatory and metabolic networks, as well as for programming engineered molecular behavior.
Edit intent: clarity
Original:  We show how this framework can enumerate CRNs with a variety of structural constraints including biologically motivated catalytic networks and metabolic networks, and see-saw networks motivated by DNA nanotechnology.
Revised:  We show how this framework can enumerate CRNs with a variety of structural constraints including biologically motivated catalytic networks and metabolic networks, and seesaw networks motivated by DNA nanotechnology.
Edit intent: fluency
Original:  We present a framework for mixed precision analysis that builds on the foundations of rounding error analysis presented in Higham, Nicholas, "Accuracy and Stability of Numerical Algorithms", SIAM%DIFDELCMD < ] %%% and demonstrate its practicality by applying the analysis to various Householder QR Algorithms.
Revised:  We Higham, Nicholas, "Accuracy and Stability of Numerical Algorithms", SIAM%DIFDELCMD < ] %%% and demonstrate its practicality by applying the analysis to various Householder QR Algorithms.
Edit intent: coherence
Original:  We present a framework for mixed precision analysis that builds on the foundations of rounding error analysis presented in Higham, Nicholas, "Accuracy and Stability of Numerical Algorithms", SIAM%DIFDELCMD < ] %%% and demonstrate its practicality by applying the analysis to various Householder QR Algorithms.
Revised:  We present a framework for mixed precision analysis that builds on the foundations of rounding error analysis presented in %DIFDELCMD < ] %%% and demonstrate its practicality by applying the analysis to various Householder QR Algorithms.
Edit intent: coherence
Original: Although mixed precision arithmetic has recently garnered interest for training dense neural networks, many other applications could benefit from the speed-ups and lower storage  if applied appropriately.
Revised: Although mixed precision arithmetic has recently garnered interest for training dense neural networks, many other applications could benefit from the speed-ups and lower storage cost if applied appropriately.
Edit intent: clarity
Original:  Since the data is the property of the IoT data owners, the access of the data requires the permission from the data owners, which gives rises to a potential market opportunity for the IoT data sharing and trading to create economic values and market opportunities for both data owners and consumers .
Revised:  Since the data is the property of the IoT data owners, the access to the data requires the permission from the data owners, which gives rises to a potential market opportunity for the IoT data sharing and trading to create economic values and market opportunities for both data owners and consumers .
Edit intent: clarity
Original:  Since the data is the property of the IoT data owners, the access of the data requires the permission from the data owners, which gives rises to a potential market opportunity for the IoT data sharing and trading to create economic values and market opportunities for both data owners and consumers .
Revised:  Since the data is the property of the IoT data owners, the access of the data requires permission from the data owners, which gives rises to a potential market opportunity for the IoT data sharing and trading to create economic values and market opportunities for both data owners and consumers .
Edit intent: fluency
Original:  Since the data is the property of the IoT data owners, the access of the data requires the permission from the data owners, which gives rises to a potential market opportunity for the IoT data sharing and trading to create economic values and market opportunities for both data owners and consumers .
Revised:  Since the data is the property of the IoT data owners, the access of the data requires the permission from the data owners, which gives rise to a potential market opportunity for the IoT data sharing and trading to create economic values and market opportunities for both data owners and consumers .
Edit intent: fluency
Original:  Since the data is the property of the IoT data owners, the access of the data requires the permission from the data owners, which gives rises to a potential market opportunity for the IoT data sharing and trading to create economic values and market opportunities for both data owners and consumers .
Revised:  Since the data is the property of the IoT data owners, the access of the data requires the permission from the data owners, which gives rises to a potential market opportunity for the IoT data sharing and trading to create economic values and market opportunities for both data owners and buyers .
Edit intent: clarity
Original: This document describes task1 of the Short-Duration Speaker Verification Challenge (SdSVC) 2020.
Revised: This document describes the Short-duration Speaker Verification (SdSV) Challenge 2020.
Edit intent: clarity
Original:  The main aim of the challenge is to evaluate new technologies for text-dependent speaker verification (TD-SV) . There is one more task in the SdSVC which is text-independent speaker verification which is explained in a separate description file.
Revised:  The main aim of the challenge is to evaluate new technologies for text-dependent (TD) and text-independent speaker verification which is explained in a separate description file.
Edit intent: clarity
Original: Deep neural networks such as GoogLeNet and ResNet have achieved superhuman performance in tasks like image classification.
Revised: Deep neural networks such as GoogLeNet and ResNet have achieved impressive performance in tasks like image classification.
Edit intent: clarity
Original:  With a large set of input images , we aim to obtain a global view of what neurons detect by studying their activations.
Revised:  With a large number of inputs , we aim to obtain a global view of what neurons detect by studying their activations.
Edit intent: clarity
Original:  That is , what is the organizational principle behind neuron activations , and how are the activations related within a layer and across layers?
Revised:  That is , what is the organizational principle behind neuron activations ? How are the activations related within a layer and across layers?
Edit intent: coherence
Original:  We present visual exploration scenarios using TopoAct that provide valuable insights towards learned representations of an image classifier  .
Revised:  We present exploration scenarios using TopoAct that provide valuable insights towards learned representations of an image classifier .
Edit intent: clarity
Original:  We ask the following questions: What is the shape of the activation space ?
Revised:  In particular, we develop visualizations that show the shape of the activation space ?
Edit intent: clarity
Original:  How are the activations related within a layer and across layers?
Revised:  How are the activations related within a layer .
Edit intent: clarity
Original:  Applying tools from topological data analysis, we present TopoAct, a visual exploration system to study topological summaries of activation vectors for a single layer as well as the evolution of such summaries across multiple layers .
Revised:  Applying tools from topological data analysis, we present TopoAct, a visual exploration system to study topological summaries of activation vectors .
Edit intent: clarity
Original:  We present exploration scenarios using TopoAct that provide valuable insights towards learned representations of an image classifier .
Revised:  We present exploration scenarios using TopoAct that provide valuable insights into learned representations of an image classifier .
Edit intent: fluency
Original:  We present exploration scenarios using TopoAct that provide valuable insights towards learned representations of an image classifier .
Revised:  We present exploration scenarios using TopoAct that provide valuable insights towards learned representations of neural networks .
Edit intent: clarity
Original: Deep neural networks such as GoogLeNet, ResNet, and BERT have achieved impressive performance in tasks like image and text classification.
Revised: Deep neural networks such as GoogLeNet, ResNet, and BERT have achieved impressive performance in tasks such as image and text classification.
Edit intent: fluency
Original:  We first consider two minimum cost optimal control problems over a finite interval ( T0 ,T) : (1) TF where opinions at all nodes should exceed a given level;
Revised:  We first consider two minimum cost optimal control problems over a finite interval ( T_0 ,T) : (1) TF where opinions at all nodes should exceed a given level;
Edit intent: clarity
Original:  We first consider two minimum cost optimal control problems over a finite interval ( T0 ,T) : (1) TF where opinions at all nodes should exceed a given level;
Revised:  We first consider two minimum cost optimal control problems over a finite interval ( T0 ,T) : (1) TF where opinions at all nodes should exceed a given \tau,
Edit intent: clarity
Original:  and (2) GF where a scalar function of the opinion vector should exceed a given level .
Revised:  and (2) GF where a scalar function of the opinion vector should exceed a given \tau .
Edit intent: clarity
Original:  It is likely that non-Cartesian representations of this sort will be increasingly important in the search for robust models of human spatial perception and navigation .
Revised:  It is likely that non-Cartesian representations of this sort will be increasingly important in the search for alternatives to a 'cognitive map' .
Edit intent: clarity
Original:  Next, we mimicked the process by which researchers would draw samples\\%DIF > . Next, we mimicked the process by which researchers would draw samples of various sizes (N = 4 to N = 150) from the population and showed a strong risk of overestimation . Specifically, for small sample sizes (N = 20), we observe accuracies of up to 95 \%.
Revised:  Next, we mimicked the process by which researchers would draw samples\\%DIF > . Next, we mimicked the process by which researchers would draw samples of various sizes (N = 4 to N = 150) from the population and showed a strong risk of misestimation . Specifically, for small sample sizes (N = 20), we observe accuracies of up to 95 \%.
Edit intent: clarity
Original:  Importantly, further investigation showed that sufficiently large test sets effectively protect against performance overestimation whereas larger datasets per se do not.
Revised:  Importantly, further investigation showed that sufficiently large test sets effectively protect against performance misestimation whereas larger datasets per se do not.
Edit intent: clarity
Original: Network function virtualization (NFV) is a vital player of modern networks providing different types of services such as traffic optimization, content filtering, and load balancing.
Revised: Network Function Virtualization (NFV) is a vital player of modern networks providing different types of services such as traffic optimization, content filtering, and load balancing.
Edit intent: fluency
Original:  A common technique to improve responsiveness is to precompute data ahead of time for specific features .
Revised:  A common technique to improve responsiveness is to precompute data ahead of time for specific activities .
Edit intent: clarity
Original:  However, simply precomputing data for all user and feature combinations is prohibitive at scale due to both network constraints and server-side computational costs.
Revised:  However, simply precomputing data for all user and activity combinations is prohibitive at scale due to both network constraints and server-side computational costs.
Edit intent: clarity
Original:  It is therefore important to accurately predict per-user feature usage in order to minimize wasted precomputation ("predictive precompute '' ).
Revised:  It is therefore important to accurately predict per-user application usage in order to minimize wasted precomputation ("predictive precompute '' ).
Edit intent: clarity
Original:  It is therefore important to accurately predict per-user feature usage in order to minimize wasted precomputation ("predictive precompute '' ).
Revised:  It is therefore important to accurately predict per-user feature usage in order to minimize wasted precomputation ("predictive precompute " ).
Edit intent: fluency
Original:  We compare their performance with traditional machine learning models, and share findings from their use in a billion-user scale production environment at Facebook.
Revised:  We compare their performance with traditional machine learning models, and share findings from their large-scale production use at Facebook.
Edit intent: clarity