76 research outputs found

    Automatic Phoneme Segmentation with Relaxed Textual Constraints

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    cote interne IRCAM: Lanchantin08aNational audienceVery high quality text-to-speech synthesis can be achieved by unit selection in a large recorded speech corpus [1]. This technique uses some optimal choice of speech units (e.g. phones) in the corpus and concatenates them to produce speech output. For various reasons, synthesis sometimes has to be done from existing recordings (rushes) and possibly without a text transcription. But, when possible, the text of the corpus and the speaker are carefully chosen for best phonetic and contextual covering, for good voice quality and pronunciation, and the speaker is recorded in excellent conditions. Good phonetic coverage requires at least 5 hours of speech. Accurate segmentation of the phonetic units in such a large recording is a crucial step for speech synthesis quality. While this can be automated to some extent, it will generally require costly manual correction. This paper presents the development of such an HMM-based phoneme segmentation system designed for corpus construction

    ‘No expectations’: straight men's sexual and moral identity-making in non-monogamous dating

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    This article juxtaposes the discursive strategies of two groups of heterosexual men in the context of non-monogamous internet-mediated dating in Belgium, notably men who are open about their extra-dyadic sexual practices and 'cheating' men. The analysis shows that regardless of the men's use of openness or discretion to construct narratives of sexual identity, morality and care, their accounts seem to be deeply intertwined with monogamist and gendered ideas on sex, care and commitment, which serves to define a largely uncaring and consumeristic dating culture. The article argues that attentiveness to power inequalities should be the main focus of 'ethical' non-monogamy

    Vivos Voco: A survey of recent research on voice transformation at IRCAM

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    cote interne IRCAM: Lanchantin11cInternational audienceIRCAM has a long experience in analysis, synthesis and transformation of voice. Natural voice transformations are of great interest for many applications and can be combine with text-to-speech system, leading to a powerful creation tool. We present research conducted at IRCAM on voice transformations for the last few years. Transformations can be achieved in a global way by modifying pitch, spectral envelope, durations etc. While it sacrifices the possibility to attain a specific target voice, the approach allows the production of new voices of a high degree of naturalness with different gender and age, modified vocal quality, or another speech style. These transformations can be applied in realtime using ircamTools TRAX. Transformation can also be done in a more specific way in order to transform a voice towards the voice of a target speaker. Finally, we present some recent research on the transformation of expressivity

    Curriculum Guidelines for Undergraduate Programs in Data Science

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    The Park City Math Institute 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in data science. The group consisted of 25 undergraduate faculty from a variety of institutions in the United States, primarily from the disciplines of mathematics, statistics, and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in data science

    A High Throughput Genetic Screen Identifies New Early Meiotic Recombination Functions in Arabidopsis thaliana

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    Meiotic recombination is initiated by the formation of numerous DNA double-strand breaks (DSBs) catalysed by the widely conserved Spo11 protein. In Saccharomyces cerevisiae, Spo11 requires nine other proteins for meiotic DSB formation; however, unlike Spo11, few of these are conserved across kingdoms. In order to investigate this recombination step in higher eukaryotes, we took advantage of a high-throughput meiotic mutant screen carried out in the model plant Arabidopsis thaliana. A collection of 55,000 mutant lines was screened, and spo11-like mutations, characterised by a drastic decrease in chiasma formation at metaphase I associated with an absence of synapsis at prophase, were selected. This screen led to the identification of two populations of mutants classified according to their recombination defects: mutants that repair meiotic DSBs using the sister chromatid such as Atdmc1 or mutants that are unable to make DSBs like Atspo11-1. We found that in Arabidopsis thaliana at least four proteins are necessary for driving meiotic DSB repair via the homologous chromosomes. These include the previously characterised DMC1 and the Hop1-related ASY1 proteins, but also the meiotic specific cyclin SDS as well as the Hop2 Arabidopsis homologue AHP2. Analysing the mutants defective in DSB formation, we identified the previously characterised AtSPO11-1, AtSPO11-2, and AtPRD1 as well as two new genes, AtPRD2 and AtPRD3. Our data thus increase the number of proteins necessary for DSB formation in Arabidopsis thaliana to five. Unlike SPO11 and (to a minor extent) PRD1, these two new proteins are poorly conserved among species, suggesting that the DSB formation mechanism, but not its regulation, is conserved among eukaryotes

    A Novel Protein Kinase-Like Domain in a Selenoprotein, Widespread in the Tree of Life

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    Selenoproteins serve important functions in many organisms, usually providing essential oxidoreductase enzymatic activity, often for defense against toxic xenobiotic substances. Most eukaryotic genomes possess a small number of these proteins, usually not more than 20. Selenoproteins belong to various structural classes, often related to oxidoreductase function, yet a few of them are completely uncharacterised

    Polyamorous Families – Parenting Practice, Stigma and Social Regulation

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    As a response to the greater visibility of alternative relationship and family forms, polyamory (i.e. the practice of consensual multi-partner relationships) has recently moved to the centre of public media attention. Questions of polyamory have emerged as a major concern within law, social policy, family sociology, gender and sexuality studies. Yet certain core issues have remained underexplored. This includes the distinctive nature of polyamorous intimacy, the structure of poly household formations and the dynamics of care work within poly families. In particular, poly parenting has been subject to tabooisation and scandalisation. Governing bodies, the judiciary and educational institutions have remained largely ignorant of polyamorous relationships. Research documents the exclusions of poly families (and individuals) from access to legal provisions and protections and their common discrimination in the courts, namely in custody cases. It further highlights the discrimination of polyidentified adolescents in school and college settings and the predicament that poly families face when interacting with public institutions (including schools and kindergardens). Insights into parenting practices and the organisation of childcare is vital for understanding the transformative potential of polyamorous ways of relating. It is also important for challenging the common demonisation and stigmatisation of polyamory within conservative family politics that perceives polyamory exclusively from a harm perspective. This paper will review and critically analyse existing research on poly parenting focussing on three dimensions: (a) parenting practices, (b) social and legal discrimination, and (c) parental response to stigmatisation. The paper argues for a stronger incorporation of queer perspectives within the guiding frameworks of research into parenting in consensually non-monogamous and polyamorous relationships to highlight the transformative potential of the ‘queer bonds’ that sustain many of these practices

    Making sense of variations: Introducing alternatives in speech synthesis

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    This paper addresses the use of speech alternatives to enrich speech synthesis systems. Speech alternatives denote the variety of strategies that a speaker can use to pronounce a sentence - depending on pragmatic constraints, speaking style, and specific strategies of the speaker. During the training, symbolic and acoustic characteristics of a unit-selection speech synthesis system are statistically modelled with context-dependent parametric models (GMMs/HMMs). During the synthesis, symbolic and acoustic alternatives are exploited using a GENERALIZED VITERBI ALGORITHM (GVA) to determine the sequence of speech units used for the synthesis. Objective and subjective evaluations supports evidence that the use of speech alternatives significantly improves speech synthesis over conventional speech synthesis systems
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