48 research outputs found

    Weighted error minimization in assigning prosodic structure for synthetic speech

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    Information structure and the prosodic structure of English : a probabilistic relationship

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    This work concerns how information structure is signalled prosodically in English, that is, how prosodic prominence and phrasing are used to indicate the salience and organisation of information in relation to a discourse model. It has been standardly held that information structure is primarily signalled by the distribution of pitch accents within syntax structure, as well as intonation event type. However, we argue that these claims underestimate the importance, and richness, of metrical prosodic structure and its role in signalling information structure. We advance a new theory, that information structure is a strong constraint on the mapping of words onto metrical prosodic structure. We show that focus (kontrast) aligns with nuclear prominence, while other accents are not usually directly 'meaningful'. Information units (theme/rheme) try to align with prosodic phrases. This mapping is probabilistic, so it is also influenced by lexical and syntactic effects, as well as rhythmical constraints and other features including emphasis. Rather than being directly signalled by the prosody, the likelihood of each information structure interpretation is mediated by all these properties. We demonstrate that this theory resolves problematic facts about accent distribution in earlier accounts and makes syntactic focus projection rules unnecessary. Previous theories have claimed that contrastive accents are marked by a categorically distinct accent type to other focal accents (e.g. L+H* v H*). We show this distinction in fact involves two separate semantic properties: contrastiveness and theme/rheme status. Contrastiveness is marked by increased prominence in general. Themes are distinguished from rhemes by relative prominence, i.e. the rheme kontrast aligns with nuclear prominence at the level of phrasing that includes both theme and rheme units. In a series of production and perception experiments, we directly test our theory against previous accounts, showing that the only consistent cue to the distinction between theme and rheme nuclear accents is relative pitch height. This height difference accords with our understanding of the marking of nuclear prominence: theme peaks are only lower than rheme peaks in rheme-theme order, consistent with post-nuclear lowering; in theme-rheme order, the last of equal peaks is perceived as nuclear. The rest of the thesis involves analysis of a portion of the Switchboard corpus which we have annotated with substantial new layers of semantic (kontrast) and prosodic features, which are described. This work is an essentially novel approach to testing discourse semantics theories in speech. Using multiple regression analysis, we demonstrate distributional properties of the corpus consistent with our claims. Plain and nuclear accents are best distinguished by phrasal features, showing the strong constraint of phrase structure on the perception of prominence. Nuclear accents can be reliably predicted by semantic/syntactic features, particularly kontrast, while other accents cannot. Plain accents can only be identified well by acoustic features, showing their appearance is linked to rhythmical and low-level semantic features. We further show that kontrast is not only more likely in nuclear position, but also if a word is more structurally or acoustically prominent than expected given its syntactic/information status properties. Consistent with our claim that nuclear accents are distinctive, we show that pre-, post- and nuclear accents have different acoustic profiles; and that the acoustic correlates of increased prominence vary by accent type, i.e. pre-nuclear or nuclear. Finally, we demonstrate the efficacy of our theory compared to previous accounts using examples from the corpus

    Relationships between musical and linguistic skills in early development: the role of informal musical experience in the home

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    Research on the relationship between formal musical training and cognitive abilities has been burgeoning over the last decade, with a specific focus on the relationship between language and music skills. However, a significant gap exists when looking at the start of the developmental path of the relationship between these abilities: whereas something is known about infants and a significant amount has been learned about school-aged children, very little is known about preschool children. Aiming to fill this gap, this research has moved along two interlocking paths: first, studying the early relationship between cognitive processing of both music and language, and second, evaluating a dimension so far unexplored: the influence of informal musical interaction and exposure in the home on musical and linguistic development. Using a correlational design and a set of novel age-appropriate musical abilities tasks, Study 1 examined the relationship between a range of musical skills and linguistic development in 3- and 4-year-old children. The second study investigated the contribution of informal musical experience in the home in the development of these skills. Based on the findings from Study 2, which suggested a significant association between informal musical experience in the home and the development of key language areas, Study 3 sought to develop a validated instrument with good psychometric properties for the assessment of informal musical experience. To this end, two online surveys were conducted, and factor analytical and confirmatory methods were used to explore and consolidate the factor structure of the new instrument (Music@Home Questionnaire). Reliability and validity of the new instrument were also investigated. Study 4 focused on a specific aspect of music and language processing namely, the processing of structure, and examined the hypothesis that these skills are related in 4- and 6-year-old children. Study 4 also investigated the impact of home experience with music, as assessed with the newly developed instrument, on language and music structural processing. The combined findings of the present thesis contribute towards a comprehensive account of the relationship between language and music from a developmental perspective. They also provide researchers with new tools to assess musical abilities in young children and with a novel parent-report instrument for the assessment of a largely unexplored area of environmental experience: i.e. informal musical experience in the home

    Computational Stylistics in Poetry, Prose, and Drama

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    The contributions in this edited volume approach poetry, narrative, and drama from the perspective of Computational Stylistics. They exemplify methods of computational textual analysis and explore the possibility of computational generation of literary texts. The volume presents a range of computational and Natural Language Processing applications to literary studies, such as motif detection, network analysis, machine learning, and deep learning

    Learning to Behave: Internalising Knowledge

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    Proceedings of the VIIth GSCP International Conference

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    The 7th International Conference of the Gruppo di Studi sulla Comunicazione Parlata, dedicated to the memory of Claire Blanche-Benveniste, chose as its main theme Speech and Corpora. The wide international origin of the 235 authors from 21 countries and 95 institutions led to papers on many different languages. The 89 papers of this volume reflect the themes of the conference: spoken corpora compilation and annotation, with the technological connected fields; the relation between prosody and pragmatics; speech pathologies; and different papers on phonetics, speech and linguistic analysis, pragmatics and sociolinguistics. Many papers are also dedicated to speech and second language studies. The online publication with FUP allows direct access to sound and video linked to papers (when downloaded)

    Mixing Methods: Practical Insights from the Humanities in the Digital Age

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    The digital transformation is accompanied by two simultaneous processes: digital humanities challenging the humanities, their theories, methodologies and disciplinary identities, and pushing computer science to get involved in new fields. But how can qualitative and quantitative methods be usefully combined in one research project? What are the theoretical and methodological principles across all disciplinary digital approaches? This volume focusses on driving innovation and conceptualising the humanities in the 21st century. Building on the results of 10 research projects, it serves as a useful tool for designing cutting-edge research that goes beyond conventional strategies

    Computer Vision and Architectural History at Eye Level:Mixed Methods for Linking Research in the Humanities and in Information Technology

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    Information on the history of architecture is embedded in our daily surroundings, in vernacular and heritage buildings and in physical objects, photographs and plans. Historians study these tangible and intangible artefacts and the communities that built and used them. Thus valuableinsights are gained into the past and the present as they also provide a foundation for designing the future. Given that our understanding of the past is limited by the inadequate availability of data, the article demonstrates that advanced computer tools can help gain more and well-linked data from the past. Computer vision can make a decisive contribution to the identification of image content in historical photographs. This application is particularly interesting for architectural history, where visual sources play an essential role in understanding the built environment of the past, yet lack of reliable metadata often hinders the use of materials. The automated recognition contributes to making a variety of image sources usable forresearch.<br/
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