Multi-pair two-way AF relaying with massive arrays and imperfect CSI

We consider a multi-pair two-way amplify-and-forward relaying system with a massive antenna array at the relay and estimated channel state information, assuming maximum-ratio combining/transmission processing. Closed-form approximations of the sum spectral effi- ciency are developed and simple analytical power scaling laws are presented, which reveal a fundamental trade-off between the transmit powers of each user/the relay and of each pilot symbol. Finally, the optimal power allocation problem is studied.

Wide Matching - An Approach to Improving Noise Robustness for Speech Enhancement

It is shown that under certain conditions it is possible to obtain a good speech estimate from noise without requiring noise estimation. We study an implementation of the theory, namely wide matching, for speech enhancement. The new approach performs sentence-wide joint speech segment estimation subject to maximum recognizability to gain noise robustness. Experiments have been conducted to evaluate the new approach with variable noises and SNRs from -5 dB to noise free. It is shown that the new approach, without any estimation of the noise, significantly outperformed conventional methods in the low SNR conditions while retaining comparable performance in the high SNR conditions. It is further suggested that the wide matching and deep learning approaches can be combined towards a highly robust and accurate speech estimator.

Spirituality and Basketball Fanship: An Interpretative Phenomenological Analysis and Synthesis

The world of competitive sport affords an individual the opportunity to enter a spiritual community adding meaning that transcends one’s current understanding of life (Parry et al. 2007). Previously established dimensions of sports fanship (group affiliation, psychological commitment and team identification) share characteristics commonly associated with religious or spiritual affiliation indicating that fans may generate substantial life meaning from observing sporting encounters. In the present study, 12 male basketball fans (M=32.42; SD=7.97) completed semi-structured interviews immediately prior to viewing a competitive match at the 2011 European Basketball Championships (Vilnius, Lithuania). Interviews were structured under four headings; 1) the most memorable moment as a basketball fan, 2) thoughts, feelings and emotions attached to their team, 3) affiliation to the team in the context of the fan’s meaning of life, 4) connection with members of the fan’s sporting community. Interpretative Phenomenological Analysis was employed to analyse interview transcripts. Raw data clustered into four dimensions; 1) devotion, 2) obscure emotions, 3) connectedness, and 4) universal values. The results indicate that sports fanship is characterised by, and synonymous with, an established understanding of spirituality derived from membership of wider spiritual and/or religious communities. The findings hold implications for the marketing and membership of local, amateur and professional sports clubs and brands, as well as community development, health and welfare.

Neurophysiologic, psychological, sport and health dimensions of three meditation techniques

The aim of this study was to record experiences of three meditation conditions: Ratio Breathing, Transcendental Meditation and Zazen, with special reference to sport, health, neuro-physiology and sense of coherence. The participants (N=9), seven males and two females were all British, actively competing across a range of individual and team sports, with no experience of using meditation techniques or practices in their sporting or daily lives. Their mean age was 31.56 years with an age range of 22 to 44 years. The study employed a within-subjects, repeated measures design, with each participant practising each meditation condition in a randomly counterbalanced order. Integrative findings support the value of all three meditation conditions for health and to a lesser extent for sport, especially with regard to their effect on focus. All three meditation conditions were associated with a decrease in respiration. The differential effect of the meditations was apparent. Participants valued Ratio breathing for its effect on concentration, Transcendental Meditation for its depth of meditation and Zazen for its effect on self and removal of external distractions. These qualitative findings were associated with differentially significant quantitative effects on lowered respiration rate in the Ratio Breathing group, increased physical relaxation and alpha activity in the Transcendental Meditation group, and increases in both alpha and theta activity in the Zazen group.

Speech of Hon. John Lowndes McLaurin, of South Carolina, in the Senate of the United States, Monday, December 9, 1901

This document contains a speech by John L. McLaurin of South Carolina presented in the Senate of the United States. Sections of the speech include: sectionalism the cause, conditions in South Carolina, the federal administration in South Carolina, should not array class against class, freedom of thought and speech, the issues, under caucus dictation the Senate no longer a deliberative body, the beginning of the fight, matter of arraying class against class, freedom of thought and speech, and issues.

On the development of an automatic voice pleasantness classification and intensity estimation system

In the last few years, the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems, the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how pleasant is a voice from a perceptual point of view when the final application is a speech based interface. In this paper we present an objective definition for voice pleasantness based on the composition of a representative feature subset and a new automatic voice pleasantness classification and intensity estimation system. Our study is based on a database composed by European Portuguese female voices but the methodology can be extended to male voices or to other languages. In the objective performance evaluation the system achieved a 9.1% error rate for voice pleasantness classification and a 15.7% error rate for voice pleasantness intensity estimation.

Kalman tracking linear predictor for vowel intelligibility enhancement on european portuguese HMM based speech synthesis

The recent developments on Hidden Markov Models (HMM) based speech synthesis showed that this is a promising technology fully capable of competing with other established techniques. However some issues still lack a solution. Several authors report an over-smoothing phenomenon on both time and frequencies which decreases naturalness and sometimes intelligibility. In this work we present a new vowel intelligibility enhancement algorithm that uses a discrete Kalman filter (DKF) for tracking frame based parameters. The inter-frame correlations are modelled by an autoregressive structure which provides an underlying time frame dependency and can improve time-frequency resolution. The system’s performance has been evaluated using objective and subjective tests and the proposed methodology has led to improved results.

Adaptive filtering for high quality HMM based speech synthesis

In this work an adaptive filtering scheme based on a dual Discrete Kalman Filtering (DKF) is proposed for Hidden Markov Model (HMM) based speech synthesis quality enhancement. The objective is to improve signal smoothness across HMMs and their related states and to reduce artifacts due to acoustic model's limitations. Both speech and artifacts are modelled by an autoregressive structure which provides an underlying time frame dependency and improves time-frequency resolution. Themodel parameters are arranged to obtain a combined state-space model and are also used to calculate instantaneous power spectral density estimates. The quality enhancement is performed by a dual discrete Kalman filter that simultaneously gives estimates for the models and the signals. The system's performance has been evaluated using mean opinion score tests and the proposed technique has led to improved results.

Lovers and Madmen: The Μανία-Φρονεῖν Opposition in Plato’s Phaedrus

In this thesis we propose to examine the first half of the Phaedrus (sc. until the end of the palinode) in light of the opposition between the notions of μανία and φρονεῖν, as they are explicitly and implicitly presented in the erotic speeches. These are read in dialogue with what we have designated as the “implicit speech” or “speeches”, i.e., the plurality of conceptions regarding ἔρως, μανία and φρονεῖν that were part of Ancient Greek culture. Our reading of the two speeches against ἔρως, Lysias’ and Socrates’ first speech, engages with this cultural background, and extracts a conception of μανία and φρονεῖν with which the palinode will primarily confront. Our reading of the palinode divides it into two sections: the first, the presentation of the first three kinds of beneficial μανία; the second, the mythical narrative that deals with erotic μανία. We emphasise the existence of a wide gulf between these two moments in terms of their ontological, theological and anthropological conceptions. The second section of the palinode is revolutionary not only in contrast with the “implicit speech” and the speeches against ἔρως, but also in contrast with the very beginning of the palinode – which preserves many of the conceptions and assumptions found in the previous speeches and in the cultural tradition. It is in order to explain the foundation, meaning and significance of this gulf that we explore and discuss the notion of ὑπόθεσις and its role as an implicit operator in the Phaedrus. From our reading of the second part of the palinode, it is clear how the introduction of the ὑπερουράνιος τόπος brings about a radical revision of the perspectives on the nature of reality and on human nature and condition that were implicit in the previous speeches and in the first part of the palinode. We show that the ὑπερουράνιος τόπος corresponds to the projection of a multiplicity of cognitive and desiderative requirements that our normal perspective demands, but cannot possibly satisfy. In other words, our perspective is shown to be living beyond its means, yearning for something that by far exceeds what it can get in its de facto condition: the superlative. This results in a major revision of the understanding of φρονεῖν and μανία – a revision that challenges the traditional understanding of these two notions as binary opposites, thereby revealing a much more complex landscape.

The impact of social competence between physical activity and motor performance

Objective: To identify the association of low physical activity (PA) participation in children with various motor performances (MP) and to establish the impact of social competence (SC). Methods: Sixth grade children from PHAST study at Brock University (n=1958; 50.53% males) had MP test results from Bruininks-Oseretsky Test of Motor Proficiency, Participation Questionnaire (PQ) used for PA and Harter Social Competence Scale for self-perceived SC. Comparative tests, multiple and logistic regressions were performed. Results: Significant differences in PQ measures in MP quartiles and SCs. MP and SC are independent predictors of PA (p<.05) except with SES on free play activity, making MP not significant. Lower MP increased the odds of low total PA and organized sport participation but not for free play activities (OR~1). Higher SC reduced the risk of low participation in all PA measures. Conclusions: SC improves PA participation, including free play and organized sports, despite the child’s MP.

It runs in the family : the Bradfords, print, and liberty (1680-1810)

En se basant sur l’histoire des Bradfords, l’une des plus grandes familles d’imprimeurs de l’histoire américaine, ce mémoire étudie la relation entre l’imprimé, les imprimeurs, et divers discours sur la liberté au cours du « long » 18e siècle. Il retrace la transition entre une ère de la « liberté de parole, » née des débats sur la liberté de presse et d’expression de la période coloniale, et une ère de la « parole de la liberté, » née au cours de la Révolution et entretenue sous la jeune république. Cette transition fut le produit de la transformation du discours des contemporains sur la liberté, mais s’effectua également en lien avec la transformation du milieu de l’imprimerie et de la culture de l’imprimé. Selon les circonstances politiques, sociales, économiques et culturelles particulières des périodes coloniale, révolutionnaire, et républicaine, l’imprimé et les imprimeurs américains furent appelés à disséminer et à contribuer au discours sur la liberté. Ils établirent ainsi une forte association entre l’imprimé et la liberté dans la culture de l’imprimé du 18e siècle, qui était destinée à être transmise aux siècles suivants. Mots-

On Recurrent and Deep Neural Networks

L'apprentissage profond est un domaine de recherche en forte croissance en apprentissage automatique qui est parvenu à des résultats impressionnants dans différentes tâches allant de la classification d'images à la parole, en passant par la modélisation du langage. Les réseaux de neurones récurrents, une sous-classe d'architecture profonde, s'avèrent particulièrement prometteurs. Les réseaux récurrents peuvent capter la structure temporelle dans les données. Ils ont potentiellement la capacité d'apprendre des corrélations entre des événements éloignés dans le temps et d'emmagasiner indéfiniment des informations dans leur mémoire interne. Dans ce travail, nous tentons d'abord de comprendre pourquoi la profondeur est utile. Similairement à d'autres travaux de la littérature, nos résultats démontrent que les modèles profonds peuvent être plus efficaces pour représenter certaines familles de fonctions comparativement aux modèles peu profonds. Contrairement à ces travaux, nous effectuons notre analyse théorique sur des réseaux profonds acycliques munis de fonctions d'activation linéaires par parties, puisque ce type de modèle est actuellement l'état de l'art dans différentes tâches de classification. La deuxième partie de cette thèse porte sur le processus d'apprentissage. Nous analysons quelques techniques d'optimisation proposées récemment, telles l'optimisation Hessian free, la descente de gradient naturel et la descente des sous-espaces de Krylov. Nous proposons le cadre théorique des méthodes à région de confiance généralisées et nous montrons que plusieurs de ces algorithmes développés récemment peuvent être vus dans cette perspective. Nous argumentons que certains membres de cette famille d'approches peuvent être mieux adaptés que d'autres à l'optimisation non convexe. La dernière partie de ce document se concentre sur les réseaux de neurones récurrents. Nous étudions d'abord le concept de mémoire et tentons de répondre aux questions suivantes: Les réseaux récurrents peuvent-ils démontrer une mémoire sans limite? Ce comportement peut-il être appris? Nous montrons que cela est possible si des indices sont fournis durant l'apprentissage. Ensuite, nous explorons deux problèmes spécifiques à l'entraînement des réseaux récurrents, à savoir la dissipation et l'explosion du gradient. Notre analyse se termine par une solution au problème d'explosion du gradient qui implique de borner la norme du gradient. Nous proposons également un terme de régularisation conçu spécifiquement pour réduire le problème de dissipation du gradient. Sur un ensemble de données synthétique, nous montrons empiriquement que ces mécanismes peuvent permettre aux réseaux récurrents d'apprendre de façon autonome à mémoriser des informations pour une période de temps indéfinie. Finalement, nous explorons la notion de profondeur dans les réseaux de neurones récurrents. Comparativement aux réseaux acycliques, la définition de profondeur dans les réseaux récurrents est souvent ambiguë. Nous proposons différentes façons d'ajouter de la profondeur dans les réseaux récurrents et nous évaluons empiriquement ces propositions.

“Right to Privacy and Freedom of Press - Conflicts and Challenges”

India is a signatory to the United Nations Declaration of Human Rights 1948 and the International Covenant on Civil and Political 1966, the two major International instruments, building the foundations of the major democracies and the constitutions of the world. Both these instruments give an independent and upper position to right to privacy compared to right to freedom of speech and expression. The freedom of press finds its place under this right to freedom of speech and expression. Both these rights are the two opposite faces of the same coin. Therefore, without the right of privacy finding an equal place in Indian law compared to right to freedom of speech and expression, the working of democracy would be severely handicapped and violations against citizens rights will be on the rise It was this problem in law and need to bring a balance between these two conflicting rights that induced me to undertake this venture. This heavy burden to bring in a mechanism to balance these two rights culminated in me to undertake this thesis titled “Right to Privacy and Freedom of Press – Conflicts and Challenges

A Prototype for a Multimodal Biometric Security system based on Face and Audio Signatures

Any automatically measurable, robust and distinctive physical characteristic or personal trait that can be used to identify an individual or verify the claimed identity of an individual, referred to as biometrics, has gained significant interest in the wake of heightened concerns about security and rapid advancements in networking, communication and mobility. Multimodal biometrics is expected to be ultra-secure and reliable, due to the presence of multiple and independent—verification clues. In this study, a multimodal biometric system utilising audio and facial signatures has been implemented and error analysis has been carried out. A total of one thousand face images and 250 sound tracks of 50 users are used for training the proposed system. To account for the attempts of the unregistered signatures data of 25 new users are tested. The short term spectral features were extracted from the sound data and Vector Quantization was done using K-means algorithm. Face images are identified based on Eigen face approach using Principal Component Analysis. The success rate of multimodal system using speech and face is higher when compared to individual unimodal recognition systems

Design and Development of a Frame Based MT System for English-to-ISL

This paper presents the design and development of a frame based approach for speech to sign language machine translation system in the domain of railways and banking. This work aims to utilize the capability of Artificial intelligence for the improvement of physically challenged, deaf-mute people. Our work concentrates on the sign language used by the deaf community of Indian subcontinent which is called Indian Sign Language (ISL). Input to the system is the clerk’s speech and the output of this system is a 3D virtual human character playing the signs for the uttered phrases. The system builds up 3D animation from pre-recorded motion capture data. Our work proposes to build a Malayalam to ISL