Miracle-dz/UniFAR-FTUs huggingface dataset:
Deliverable D3.5 Final Evaluation Report

This deliverable provides a summary of several evaluations of our synthesis system and describes experiments in the synthesis of expressive speech conducted in WP3. A new vocoding method was developed, based on predicting time-domain glottal excitation waveforms directly from acoustic features with a deep neural network (DNN). The method was first evaluated with normal speaking style and then used with adaptation for the synthesis of breathy, normal, and Lombard speech. The new vocoder reached the quality level of our existing GlottHMM vocoder and in synthesis of Lombard speech the DNN-based method outperformed the current GlottHMM system. A joint evaluation study was conducted with researchers of a parallel EC-funded project on synthesis of laughter. The topic was challenging, as expected, and showed that for statistical synthesis of laughs some of the existing vocoders are not robust enough in the presentation of speech parameters. Evaluation studies were also conducted to better understand the perceptual importance of the periodic and aperiodic components of the vocoder excitation. Evaluation results obtained with a specifically designed generalised vocoder indicate that in combining periodic excitation waveforms with a periodic noise sequences, the impact of spectral weighting is essential while the role of temporal noise envelope is small. Finally, two methods for emotion transplantation, based on cross-speaker extrapolation and cross-speaker model adaptation, were studied. Evaluations conducted in the synthesis of emotional speech indicate, for example, a very clear preference (reaching as high as 96% for happiness, an average of 87% preference across all the emotions) for the emotional synthesiser we have developed. Version 1 (14/05/2014) 2 page 2 of 16 FP7-287678 SIMPLE4ALL deliverable D3.5
Halbert White

In this chapter we present a unified theory of specification testing that applies to a broad range of the data, model, and estimator configurations likely to be met in econometric practice. The abstract results are applied to obtain specification tests based on maximum-likelihood estimators for the parameters of dynamic models. We propose a dynamic information matrix test that should be useful for detecting dynamic misspecification in a wide variety of models and discuss its interpretation in a number of simple special cases. We also propose some new, computationally convenient versions of the Hausman test.
Sentiment Analysis of Twitter messages based on Multinomial Naive Bayes

: This article adapts a Text Classiﬁcation scheme based on Multinomial Naive Bayes to deal with Twitter messages labelled with six classes of sentiment as well as with their topic. The eﬀectiveness of this scheme is evaluated using the TASS-SEPLN Twitter dataset and it achieves maximum macroaveraged F 1 measure rate of 36.28%.
Benjamin Hescott -research Statement Non-uniform Completeness

The keys to my successful research have been collaboration and commitment. Commitment has helped me focus my research on difficult open problems and make steady progress in the field. Collaboration has helped me learn from some of the best complexity theorists. The combination of these traits has helped me grow as researcher — not just within theory — but in areas such as data mining and network streams. Commitment is crucial to a successful research career. Many interesting open problems in the theory of computation have been unsolved for years, resisting attempts at solutions. I have worked on difficult problems since my first semester as a graduate student. In particular, I believed that the first problem I worked on was simple. After many attempts, I was still wrestling with incomplete solutions. Recently, I was able to use some related work within the field to answer and expand this question. I am now using my solution to create broader, more important theorems. Here, a simple problem matured to yield results, years after beginning work on it. By committing to problems and investigating paths that are not always fruitful, more interesting problems are discovered. This knowledge can be used within complexity and in fields outside of theory Collaboration for a student begins with their advisor. Fortunately, I have worked with Steve Homer, whose background in mathematics, algorithms, complexity, and quantum computation has given me a strong foundation in computer science. Although the field of computation complexity is comparatively small, it occupies a central position within the theory of computation. Consequently, I have been fortunate to meet and collaborate with many of the top researchers in the field. Outside of theory, I have also worked with other members of the faculty at Boston University. I have contributed within our database group regarding compression techniques and clustering algorithms. In turn, this led to an ongoing project with our networking group regarding streaming algorithms. My accomplishments within complexity theory have enabled me to contribute to current problems from other applied areas. Through strong commitment, collaboration, and a deep curiosity, I plan to continue to discover and work on hard problems throughout my career in both theory and applied areas of computer science.
Translation equivalence of demonstrative pronouns in Bulgarian-Slovak parallel texts

Translation equivalence of demonstrative pronouns in Bulgarian-Slovak parallel texts In this paper we describe our automatic analysis of several parallel Bulgarian-Slovak texts with the goal to obtain useful information about Slovak translation equivalents of (definite) articles and demonstrative pronouns in Bulgarian. Rather than focusing on individual translation equivalents, we present a method for automatic extraction and visualization of the translations. This can serve as a guide for pinpointing interesting features in specific translated documents and could be extended for other parts of speech or otherwise identifiable textual units.
The Toeplitz algebra of a Hilbert bimodule

Suppose a C*-algebra A acts by adjointable operators on a Hilbert A-module X. Pimsner constructed a C*-algebra O_X which includes, for particular choices of X, crossed products of A by Z, the Cuntz algebras O_n, and the Cuntz-Krieger algebras O_B. Here we analyse the representations of the corresponding Toeplitz algebra. One consequence is a uniqueness theorem for the Toeplitz-Cuntz-Krieger algebras of directed graphs, which includes Cuntz's uniqueness theorem for O_\infty.
Scalable Multi-Document Summarization Using Natural Language Processing

In this age of the Internet, with scalable compute and storage resources being easily accessible, users are surrounded with information. The existing information retrieval tools provide users with extensive data, which at times can become redundant and unnecessary. However, with extensive usage of this available data, a secondary level of wrappers like Natural Language Processing(NLP) frameworks that interact with data sets have become necessary. These wrappers must extract a concise summary from the primary data set gathered. The main reason for using text summarization techniques is to obtain this secondary level of information. Text summarization using NLP techniques is an interesting area of research with various implications for information retrieval. This report deals with the usage of machine learning (ML) algorithms for generic text summarization and compares it with other summary models available. It proposes text summarization using ML algorithms with usage of open-source NLP frameworks like Mahout and Lucene can be scaled efficiently. The performance of these Hadoop based algorithms is compared with other models commonly used for summarization. The goal is also to extend the evaluation to multi-lingual documents along with retaining quality and scalabiltiy of summary model.
Symplectic, Poisson, and contact geometry on scattering manifolds

We introduce scattering-symplectic manifolds, manifolds with a type of minimally degenerate Poisson structure that is not too restrictive so as to have a large class of examples, yet restrictive enough for standard Poisson invariants to be computable. This paper will demonstrate the potential of the scattering symplectic setting. In particular, we construct scattering-symplectic spheres and scattering symplectic gluings between strong convex symplectic fillings of a contact manifold. By giving an explicit computation of the Poisson cohomology of a scattering symplectic manifold, we introduce a new method of computing Poisson cohomology and apply it to $b^k$-symplectic manifolds.
Reversible Systolic Arrays, Part II: m-ary Equipollent SIMD Circuits and their Quantum Realizations

This paper introduces new type of m-ary systolic arrays called m-ary reversible systolic arrays which extends the new concept of two-valued reversible systolic arrays that was introduced in the first part of my article. The m-ary quantum systolic architectures’ computations of the new type of systolic arrays are also introduced. The new m-ary systolic arrays maintain the high level of regularity while exhibiting the new fundamental m-ary equipollent (bijectivity; reversibility) and m-ary quantum superposition properties. Since basic PEs used in the construction of arithmetic systolic arrays are the add-multiply cells, the results introduced in this paper are general and apply to a very wide range of m-ary Galois add-multiply-based systolic arrays. The new reversibility and superposition properties will be essential in performing super-fast arithmetic-intensive computations that are fundamental in several minimal-power consuming future applications such as in m-ary multi-dimensional quantum signal processing (QSP).
The Control of Externalities in the Transport Sector: an Applied General Equilibrium Model

The paper uses an applied general equilibrium model, calibrated to the situation in Belgium in 1990, to evaluate the efficiency effects of small policy changes in the presence of externalities. The model incorporates three types of externalities: congestion, which has a feedback effect on the behaviour of the economic agents, air pollution and accidents. Balanced budget incidence analysis shows that the ranking of tax instruments in terms of their marginal cost of public funds (MCF) changes significantly when the effect of the reform on the externalities is taken into account. The effects of the changes in congestion and air pollution are the most important. Secondly, differential incidence exercises make a link with the double dividend literature.
Discontinuous Galerkin methods for the one-dimensional Vlasov-Poisson system

We construct a new family of semi-discrete numerical schemes for the approximation of the one-dimensional periodic Vlasov-Poisson system. The methods are based on the coupling of discontinuous Galerkin approximation to the Vlasov equation and several finite element (conforming, non-conforming and mixed) approximations for the Poisson problem. We show optimal error estimates for all the proposed methods in the case of smooth compactly supported initial data. The issue of energy conservation is also analyzed for some of the methods.
The 3rd Workshop on Continuous Vector Space Models and Their Compositionality (cvsc) Recursive Neural Networks Can Learn Logical Semantics Joint Semantic Relevance Learning with Text Data and Graph Knowledge Exploring the Effect of Semantic Similarity for Phrase-based Machine Translation Incremental

Order copies of this and other ACL proceedings from: ii Introduction In most natural language processing applications the goal is to extract linguistic information from raw text or to transform linguistic observations into an alternative form, for instance from speech to text or one language to another. All of these applications often involve statistical models that rely heavily on a discrete representation of linguistic concepts, such as words and their POS tags, phrases and their syntactic categories or sentences, documents, etc. This includes any model parameterized with large probability tables or based on the extraction of multiple co-occurrence features (e.g. bigrams or tag/word pairs). Such a representation poorly models statistical structure not explicitly represented within the parameterization, but that might be very relevant from a morphological, syntactic and semantic standpoint. This hinders the generalization power of the model and reduces its ability to adapt to other domains. Another consequence is that such statistical models can only model very restricted contexts of text, without suffering from the sparsity of data. For instance, even the Google n-gram corpus only includes grams up to length 5. Data sparsity is a well-known and fundamental issue in statistical NLP, for which the existing remedies based on smoothing techniques can be insufficient. In recent years, there has been a growing interest in algorithms that learn a continuous representation for words, phrases, or documents. For instance, one can see latent semantic analysis and latent Dirichlet allocation as a mapping of documents or words into a continuous lower dimensional topic-space. Another example, continuous word vector-space models, represent word meanings with vectors that capture semantic and syntactic information. These representations can be used to induce similarity measures by computing distances between the vectors, leading to many useful applications, such as information retrieval, search query expansions, document classification and question answering. The idea of continuous vector spaces for language modeling has been used to develop neural language models that have reached state of the art performance in several applications. Another different trend of research on continuous vector space models belongs to the family of spectral methods developed to overcome some limitations of discrete latent space models. A further line of research is distributional semantic models that are historically more tied with linguistic theories. Despite the success of single word vector space models, they are severely limited since they do not capture compositionality, the important quality of natural language that allows …
Higher-dimensional Discrete Smith Curvelet Transform: a Parallel Algorithm *

We revisit Smith’s frame of curvelets and discretize it making use of the USFFT as developed by Dutt and Roklin, and Beylkin. In the discretization, we directly approximate the underlying dyadic parabolic decomposition, its (rotational) symmetry, and approximate all the necessary decay estimates in phase space with arbitrary accuracy. Numerically, our transform is unitary. Moreover, if we apply the inverse transform after the forward transform, we approximate the identity matrix, as it should, and if we apply the forward transform after the inverse transform we recover the necessary decay estimates (of the matrix representing the identity operator). Another relevant aspect of our discretization is the appearance of parameters that control the tiling of phase space corresponding with the dyadic parabolic decomposition, preserving the relative parabolic scaling, while adapting to the physical problem at hand. We consider applications in exploration seismology and global seismology. For these, we need transforms in higher dimensions, that is, in dimension n = 3, 4, 5, while the data sets and images are inherently very large. We propose a parallel algorithm suited for such large-scale problems in the realm of high performance computing.
Abstract—real-time 3d Volumetric Ultrasound Imaging

systems require transmit and receive circuitry to generate the ultrasound beam and process the received echo signals. Since a 2D array is required for 3D imaging, the complexity of building such a system is significantly higher, e.g., front-end electronics need to be interfaced to the transducer, a large number of elements need to be interfaced to the backend system and a large dataset needs to be processed. In this work, we present a 3D imaging system using capacitive micromachined ultrasonic transducer (CMUT) technology that addresses many of the challenges in building such a system. The transducer is a 5-MHz CMUT array with an 8 mm × 8 mm aperture size. The aperture consists of 1024 elements (32×32) with an element pitch of 250 µm. An integrated circuit (IC) is integrated very close to the CMUT array. It consists of a transmit beamformer and receive circuitry to improve the noise performance of the overall system. Simultaneous multi-beam transmit is also incorporated in the IC to improve the imaging frame rate. The CMUT is flip-chip bonded to the IC and the final assembly measured 9.2 mm × 9.2 mm. The assembly was then interfaced with an FPGA and a backend system (comprising of a data acquisition system and PC). The FPGA provided the digital I/O signals for the IC and the backend system was used to process the received RF echo data (from the IC) and reconstruct the volume image using a phased array imaging approach. Imaging experiments were performed using wire phantoms. Real-time volumetric images were captured at 5 volumes per second and are presented in this paper.
Knowledge-Based Fuzzy Inference System for Sepsis Diagnosis

In this study, a Fuzzy Inference System is developed to create a knowledge-based for the diagnosis and detection of sepsis using Matlab’s fuzzy logic toolbox. The FIS consists of expert-specified input membership functions, output membership function, and IF-THEN rules. To validate our system, we tested it with the domain (medical) expert knowledge by comparing its performance with at least 10 hypothetical scenarios. The KB-FIS gave good answers in 8/10 scenarios and generated rules for decision support. The answers are qualitatively correct but quantitatively small. The fuzzy inference system designed performs as well as the medical experts under controlled conditions. With the methodology used in this study, it is hoped that it can assist in enhancing the knowledge-base system for proper, effective and early diagnosis and detection of sepsis
In: Nonlinear Economie Dynamics an Adaptivedynamic Model

Starting from a seminai paper of Thomas. Scheiling (1969} we formalize a tvedimensio.al discrete time dynamical system to study segregatiou. The simple adaptive rnechanism we propose may lead to the segregatioa oftwo different populations whose members are charaeterized by a limited tolerance about the presente of individuals of the other group. We previde a global analysis of the model, based on a computerassisted interplay of analytical, niunerical and geometrica) methods. This allows us to emphasize the robe of the parameters that represent the distribution oftolcrance within the pepulatidns and their merda in meving in or out of the system considered, as well as the role of constraints imposed_ When several attractors are present, each with its own basin of'attraction; the adaptive dytiamics can act as a path-dependent selection device, i.e., the collective behavior tbet prevails in the long run depends on the starting conditions and on the bistorical accidente occurring along the trajectories. The study shows how simple adaptive rules, repeatediy applied over time, can be used te analyze the evolutive paths Ieàding to the emergente of different collettive behaviors in the long rum. , i.e., the trade-off between myopic individuai behavior and the emergente of sacial structures.
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This paper describes the domain-speci c cross-language information retrieval (CLIR) task of CLEF, why and how it is important and how it di ers from general cross-language retrieval problem associated with the general CLEF collections. The inclusion of a domainspeci c document collection and topics has both advantages and disad-
I. An Interdisciplinary Review on Movement Behaviour Research

In the human culture, the pursuit of understanding body movement and its link to cognitive, emotional, and interactive processes can be reliably traced back to the ancient Greek. How body movement reflects and affects cognitive, emotional, and interactive processes is not only theoretically interesting but moreover, its knowledge has far-reaching practical applications such as for obtaining communicative competencies, for learning and teaching, and for diagnostics and therapy in different clinical contexts. Currently, the spreading of visual media in all cultures implies that not only the written or spoken word but moving human bodies substantially contribute to the transfer of information. Given this situation, it is becoming more and more important to build an empirically grounded knowledge of how body movement reflects and affects the individual's cognitive and emotional processes and how it promotes communication and regulates interaction. Not surprisingly, in numerous academic disciplines the expressive and communicative potential of movement behaviour is a focus of interest, such as in psychology, health care science including medicine, linguistics, anthropology, sociology, human physical performance and recreation, media studies and communication, performing arts, cultural and ethnic studies, gender and sexuality studies, computer sciences, education, etc. In addition, many therapy forms such as dance movement therapy, body-oriented psychotherapy, or neurorehabilitation use body movement as therapeutic medium. However, as it will be exposed below, the interest in body movement and its link to cognitive, emotional, and interactive processes is not a recent phenomenon but has historically a longstanding tradition. It is noteworthy that despite many research studies having been carried through, a common body of empirical knowledge about body movement and its link to cognitive, emotional, and interactive processes has not developed far. One reason for this is the scant scientific exchange between the currently prevailing academic disciplines and a lack of passing on knowledge from historically earlier epochs of research. Among others, differences in terminology and methodology are relevant obstacles for an interdisciplinary discourse on movement behaviour. Given this situation, this book starts with a short overview on research on expressive and communicative body movement across different sci-
Title: ________spatial Integration of Regional Carbon Balance in Amazônia_______ Table of Contents

2 Summary of Past Accomplishments . 3 Local-Scale Model Evaluation Studies . 3 Studies of the Tapajos Region . 4 Basin-scale and Global Studies. 6 Technical Plan. 8 Background . 8 Objectives. 11 Scientific Relevance. 11 Technical Description of Proposed Work. 12 Model Descriptions . 12 Model Evaluation. 17 Influence of Surface Water and Seasonal Inundation. 20 Regional and Global Inversions of Atmospheric Data. 22 Expected Significance. 24 Synthesis and Integration . 25 References . 26 Training and Education Plan. 29 Data Plan . 31 Management Plan. 32 Spatial Integration of Amazôn Carbon Fluxes