User Authentication Method via Speaker Recognition and Speech Synthesis Detection

As the Internet has been developed, various online services such as social media services are introduced and widely used by many people. Traditionally, many online services utilize self-certification methods that are made using public certificates or resident registration numbers, but it is found that the existing methods pose the risk of recent personal information leakage accidents. The most popular authentication method to compensate for these problems is biometric authentication technology. The biometric authentication techniques are considered relatively safe from risks like personal information theft, forgery, etc. Among many biometric-based methods, we studied the speaker recognition method, which is considered suitable to be used as a user authentication method of the social media service usually accessed in the smartphone environment. In this paper, we first propose a speaker recognition-based authentication method that identifies and authenticates individual voice patterns, and we also present a synthesis speech detection method that is used to prevent a masquerading attack using synthetic voices.

Lyrikline

Artikelbeginn:[English title and abstract below] Der Rhythmus wählt mich und erstrahlt in mirIch bin der Geige Klang, nicht ihr SpielerMahmud Darwish Als literarischer Veranstalter mit Schwerpunkt Poesie hatte die Literaturwerkstatt Berlin, Initiatorin von Lyrikline und 2016 in Haus für Poesie umbenannt, vor 1998 bereits viele überzeugende Erfahrungen mit den ≫Berliner Sommernächten der Lyrik≪ gemacht, sodass von Anfang an klar war, dass Stimme und Vortrag bei unserem Vorhaben eine zentrale Rolle spielen müssen. Als wir anfingen, wollten wir mit Lyrikline eine Anlaufstelle im Internet schaffen, die jedem die Möglichkeit bietet, einfach und unaufwendig mit zeitgenössischer Poesie in Kontakt zu kommen, dieser vermeintlich schwierigen, von vielen respektvoll ignorierten und im Buchladen mit schwindend knappem Platz abgespeisten und zu oft bleischweren Materie. LyriklinePoets on the Internet in Their Own Voices This article is an overview of Lyrikline, a website that presents contemporary German and international poetry in text and sound. Users can hear the poems recited in the poet‘s own voice and can read the poem in the original language and in various translations. About 1,500 poets can be currently heard on the website, all with their individual poetic and poetological characteristics. Those interested in children’s and young adult poetry will find contemporary poems in the category ≫Poetry for Children≪ (under Genres & Aspects). Above all, Lyrikline offers the voice, sound, and performance of the poet and the poem. Aside from this fascinating authenticity, the listener gets to hear beyond the individual voice and timbre of the poet, as the tonal aspects of a poem, the phonetic references and the rhythmic structures become audible. Rhymes, assonances, and alliterations unfold to their full effect, stricter stanza forms reveal their structure audibly, and mood, intensity, and even pathos, may manifest itself. Lyrikline demonstrates why poetry must be heard to be fully appreciated.

Shape-shifting: Stories of Teaching for Social Change in Nursing

<p><b>Because little is known about why and how nurse educators teach for social change, this research breaks new ground. A review of the general literature on teaching for social change revealed that few educators have attempted to analyse and understand it in relation to personal narrative inquiry. However, critical feminist educators provide a useful framework for theorising about teaching for change that addresses issues of hegemony, agency, praxis, individual voice, difference, justice and equity.</b></p> <p>Six women Pakeha/Tauiwi nurse educators from throughout New Zealand volunteered to participate in this research and share their lived experiences of teaching for social change. In-depth conversations over two years unfolded new and rich material about how and why these six women continue to teach the evaded subjects, like mental health, women’s health, community development and cultural safety. All teach in counter-hegemonic ways, opening students’ eyes to the unseen and unspoken.</p> <p>Among the significant things to emerge during the research was the metaphorical construct of shape-shifting as an active process in teaching for social change. It revealed the connectedness and integrity between life as lived and the moral imperative that motivates the participants to teach for difference. Shape-shifting was also reflected in other key findings of the study. As change agents, the participants have had significant shape-shifting experiences in their lives; they live and work as shape-shifters within complex social and political structures and processes to achieve social justice; and, they deal with areas of health practice where clients are socially and politically displaced.</p> <p>The research also generated new methods for gathering life-stories and new processes for analysis and interpretation of life-stories. It is hoped that this research will open pathways for other nurse educators to become shape-shifters teaching for social change.</p>

Shape-shifting: Stories of Teaching for Social Change in Nursing

<p><b>Because little is known about why and how nurse educators teach for social change, this research breaks new ground. A review of the general literature on teaching for social change revealed that few educators have attempted to analyse and understand it in relation to personal narrative inquiry. However, critical feminist educators provide a useful framework for theorising about teaching for change that addresses issues of hegemony, agency, praxis, individual voice, difference, justice and equity.</b></p> <p>Six women Pakeha/Tauiwi nurse educators from throughout New Zealand volunteered to participate in this research and share their lived experiences of teaching for social change. In-depth conversations over two years unfolded new and rich material about how and why these six women continue to teach the evaded subjects, like mental health, women’s health, community development and cultural safety. All teach in counter-hegemonic ways, opening students’ eyes to the unseen and unspoken.</p> <p>Among the significant things to emerge during the research was the metaphorical construct of shape-shifting as an active process in teaching for social change. It revealed the connectedness and integrity between life as lived and the moral imperative that motivates the participants to teach for difference. Shape-shifting was also reflected in other key findings of the study. As change agents, the participants have had significant shape-shifting experiences in their lives; they live and work as shape-shifters within complex social and political structures and processes to achieve social justice; and, they deal with areas of health practice where clients are socially and politically displaced.</p> <p>The research also generated new methods for gathering life-stories and new processes for analysis and interpretation of life-stories. It is hoped that this research will open pathways for other nurse educators to become shape-shifters teaching for social change.</p>

Natural Speech Signal Recognition Algorithm

Speech recognition technologies are becoming more and more part of our lives, providing a convenient way to control a variety of electronic devices - voice control. One of the current problems that is solved in the development of such control systems is the problem of insufficient accuracy of voice command recognition. Improvements are being made to increase reliability, independence from individual voice characteristics, and reduce the negative impact of background noise on recognition quality. The paper presents an algorithm for recognizing and processing user intentions using a neural network built on the principle of understanding natural language and processing audio signals for use in the user support system.

Development of security systems using DNN and i & x-vector classifiers

The widespread use of biometric systems entails increased interest from cybercriminals aimed at developing attacks to crack them. Thus, the development of biometric identification systems must be carried out taking into account protection against these attacks. The development of new methods and algorithms for identification based on the presentation of randomly generated key features from the biometric base of user standards will help to minimize the disadvantages of the above methods of biometric identification of users. We present an implementation of a security system based on voice identification as an access control key and a verification algorithm developed using MATLAB function blocks that can authenticate a person's identity by his or her voice. Our research has shown an accuracy of 90 % for this user identification system for individual voice characteristics. It has been experimentally proven that traditional MFCCs using DNN and i and x-vector classifiers can achieve good results. The paper considers and analyzes the most well-known approaches from the literature to the problem of user identification by voice: dynamic programming methods, vector quantization, mixtures of Gaussian processes, hidden Markov model. The developed software package for biometric identification of users by voice and the method of forming the user's voice standards implemented in the complex allows reducing the number of errors in identifying users of information systems by voice by an average of 1.5 times. Our proposed system better defines voice recognition in terms of accuracy, security and complexity. The application of the results obtained will improve the security of the identification process in information systems from various attacks.

Detection of dementia on voice recordings using deep learning: a Framingham Heart Study

Background Identification of reliable, affordable, and easy-to-use strategies for detection of dementia is sorely needed. Digital technologies, such as individual voice recordings, offer an attractive modality to assess cognition but methods that could automatically analyze such data are not readily available. Methods and findings We used 1264 voice recordings of neuropsychological examinations administered to participants from the Framingham Heart Study (FHS), a community-based longitudinal observational study. The recordings were 73 min in duration, on average, and contained at least two speakers (participant and examiner). Of the total voice recordings, 483 were of participants with normal cognition (NC), 451 recordings were of participants with mild cognitive impairment (MCI), and 330 were of participants with dementia (DE). We developed two deep learning models (a two-level long short-term memory (LSTM) network and a convolutional neural network (CNN)), which used the audio recordings to classify if the recording included a participant with only NC or only DE and to differentiate between recordings corresponding to those that had DE from those who did not have DE (i.e., NDE (NC+MCI)). Based on 5-fold cross-validation, the LSTM model achieved a mean (±std) area under the receiver operating characteristic curve (AUC) of 0.740 ± 0.017, mean balanced accuracy of 0.647 ± 0.027, and mean weighted F1 score of 0.596 ± 0.047 in classifying cases with DE from those with NC. The CNN model achieved a mean AUC of 0.805 ± 0.027, mean balanced accuracy of 0.743 ± 0.015, and mean weighted F1 score of 0.742 ± 0.033 in classifying cases with DE from those with NC. For the task related to the classification of participants with DE from NDE, the LSTM model achieved a mean AUC of 0.734 ± 0.014, mean balanced accuracy of 0.675 ± 0.013, and mean weighted F1 score of 0.671 ± 0.015. The CNN model achieved a mean AUC of 0.746 ± 0.021, mean balanced accuracy of 0.652 ± 0.020, and mean weighted F1 score of 0.635 ± 0.031 in classifying cases with DE from those who were NDE. Conclusion This proof-of-concept study demonstrates that automated deep learning-driven processing of audio recordings of neuropsychological testing performed on individuals recruited within a community cohort setting can facilitate dementia screening.

Farming in Modern Irish Literature

This innovative study analyzes the range of representation of farming in Irish literature in the period since independence/partition in 1922, as Ireland moved from a largely agricultural to a developed urban society. In many different forms, poetry, drama, fiction, and autobiography, writers have made literary capital by looking back at their rural backgrounds, even where those may be a generation back. The first five chapters examine some of the key themes: the impact of inheritance on family, in the patriarchal system where there could only be one male heir; the struggles for survival in the poorest regions of the West of Ireland; the uses of childhood farming memories whether idyllic or traumatic; the representation of communities, challenging the homogeneous idealizing images of the Literary Revival; the impact of modernization on successive generations into the twenty-first century. The final three chapters are devoted to three major writers in whose work farming is central: Patrick Kavanagh, the small farmer who had to find an individual voice to express his own unique experience; John McGahern in whose fiction the life of the farm is always posited as alternative to an arid and rootless urban milieu; Seamus Heaney who re-imagined his farming childhood in so many different modes throughout his career.

Can't you act like a man? : support in educational setting for children with non-mainstream sexual and gender identitites

This study attempts to explore and restory the early experiences of a man who grew up with a non-mainstream sexual identity. Young children may be exploring non-mainstream gender and sexual identities. Resources should be in place to support these children, both at home and in school. By identifying gender and sex as constructs, heteronormative assumptions on appropriate behaviour are challenged and similarly deconstructed. Disempowerment is illuminated throughout this narrative and information provided by civil rights groups, school boards and prominent researchers are woven with the participant's thoughts, his early boards and prominent researchers are woven with the participant's thoughts, his early experiences and recommendations for the future. A narrative research design was used to develop my participant's personal story. Multiple methods of data collection were employed and individual voice was honoured. Full participation was encouraged whereby the participant made suggestions on how to improve the research process and the overall strength of his story. Additionally, as a teacher, the participant has shared his experiences and advice on including children with non-mainstream sexualities in the classroom. By exploring the narrativers of an adult who has experienced invisibility and marginality as a child, I hope to increase our understanding of the importance of supporting young children with non-mainstream sexual and gender identities and the detrimental effect that the lack of support can have upon young children's formation of identity.