105 research outputs found

    Joe Ruddick

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    Joseph (Joe) Mathias Ruddick in Scout uniform. Date between 1935-1941.Rodd, A. H

    The Life and World of Francis Rodd, Lord Rennell (1895-1978): Geography, Money and War

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    Book Review.Philip Boobbyer’s book offers us a biographical assessment of Francis Rodd, later Lord Rennell. Rodd held a variety of important roles over the course of his career and, as the author points out in an opening ‘Personal Note’, was Boobbyer’s grandfather. This familial connection inevitably makes Boobbyer close to the subject matter, but also allows him to leverage a large quantity of previously untapped source material in the form of Rodd’s private papers, some of which are not yet fully available to public access

    PiNCeR: a corpus of cued-rate multiple picture naming in Dutch

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    PiNCeR is a corpus of speech recordings from Dutch speakers who named pictures at different speaking rates. Participants named pre-familiarised ˈ(C)CV.CVC words (e.g., snavel [ˈsnaː.vəl] “beak”) from line drawings displayed in groups of 8 arranged on a ‘clock face’. A cursor moved clockwise from picture to picture to indicate at which of three trained rates (fast, medium and slow) participants were required to name the pictures. Annotation was performed using the POnSS tool (Rodd, Decuyper, & ten Bosch, 2019), where manual and automatic segmentation is combined to yield accurate word onsets and offsets. To detect the onset and offset times of syllables within words, we identified excursions of above-average acoustic instability between the vowel of the initial syllable and the first consonant of the second syllable (Rodd, Bosker, ten Bosch, & Ernestus, 2019). This approach was licensed by careful control of segmental content in the target words to maximise correspondence between acoustics and articulation. The PiNCeR corpus was intended for use in modelling control of speaking rate (Rodd, Bosker, Ernestus, et al., 2019), but may be of interest for other purposes. Trial-level recordings from two related experiments are made available for 25 participants (12 for Experiment 1, 13 for Experiment 2), along with the onset and offset times of the words and the syllables

    [Photograph 2012.201.B1092.0910]

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    Photograph used for a story in the Oklahoma Times newspaper. Caption: "Rodd Moesel, 16, of 4415 NW 10, and Barbara Gail Green, 8, 223 SW 11, create a terrarium (a garden in glass) at the Riverside Community Center.

    Pupils of Darwin Public School

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    Pupils of Darwin Public School. Teacher: Mrs Olga Pett Back row L-R: Ron (Cheeky) Pett,?. Second row (boys) standing L-R: ? , ? , ? , Felix Spain, ? , ? , ? , ? , ? , Chin Fong. Third row (girls) seated L-R: Maude Brown, Louise Brown , ? , ? , Doris Stretton, Flo and Liz Goodman , ? , ?. Front row (boys) seated L-R: Roy Budgen, Chin Gong, Podencia Spain, Joe Spain, ? , ? .Rodd, A. H.Date:190

    joerodd/deriving-onset-offset-times-planning-units: Version published to Zenodo

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    Scripts to accompany JASA-EL manuscript "Deriving the onset and offset times of planning units from acoustic and articulatory measurements

    joerodd/POnSS: Initial release

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    <p>Initial release on submission of manuscript describing POnSS to journal</p&gt

    Speech rate variation: How to speed up and slow down in speech production, and how to perceive fast and slow speech

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    Speech rate is one of the more salient stylistic dimensions along which speech can vary. We present both sides of this story: how the speech production system is modulated to produce speech at different rates, and how listeners make use of this variation to optimise speech perception. Joe Rodd: Speakers switch between qualitatively different cognitive ‘gaits’ to produce speech at different rates That speakers can vary their speech rate is evident, but how they accomplish this has hardly been studied. Consider this analogy: when walking, speed can be continuously increased, within limits, but to speed up further, humans must run. Are there multiple qualitatively distinct speech 'gaits' that resemble walking and running? Or is control achieved solely by continuous modulation of a single gait? These possibilities are investigated through simulations of a new connectionist computational model of the cognitive process of speech production. The model has parameters that can be adjusted to fit the temporal characteristics of natural speech at different rates. During training, different clusters of parameter values (regimes) were identified for different speech rates. In a one gait system, the regimes used to achieve fast and slow speech are qualitatively similar, but quantitatively different. In a multiple gait system, there is no linear relationship between the parameter settings associated with each gait, resulting in an abrupt shift in parameter values to move from speaking slowly to speaking fast. After training, the model achieved good fits in all three speech rates. The parameter settings associated with each speech rate were not linearly related, suggesting the presence of cognitive gaits, and thus that speakers make use of distinct cognitive configurations for different speech rates. Merel Maslowski: Listeners use the speech rate context to tune their speech perceptions Listeners take speech rate variation into account by normalizing vowel duration or contextual speech rate: an ambiguous Dutch word /m?t/ is perceived as short /mAt/ when embedded in a slow context, but long /ma:t/ in a fast context. Many have argued that rate normalization involves low-level early and automatic perceptual processing. However, prior research on rate-dependent speech perception has only used explicit recognition tasks to investigate the phenomenon, involving both perceptual processing and decision making. Speech rate effects are induced by both local adjacent temporal cues and global non-adjacent cues. In this talk, I present evidence that local rate normalization takes place, at least in part, at a perceptual level, and even in the absence of an explicit recognition task. In contrast, global effects of speech rate seem to involve higher-level cognitive adjustments, possibly taking place at a later decision-making level

    Gender and university mathematics teaching

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    Making the transition from school to university mathematics is a major identity investment for all students and, although there have been significant increases in the proportion of female students studying mathematics at university in recent years, yet in some institutions, university mathematics still exudes an aura of male culture. This chapter is written for university mathematics teachers who want to encourage both female and male undergraduates. It argues that gender is a central aspect of a person’s identity, yet gender does not automatically impact on participating in learning mathematics in a stereotyped way. The notion of ‘pedagogical voice’ is introduced as a way of thinking about establishing learning environments which attend to relational aspects of teaching. Relational aspects of teaching develop through personal connections with students and their mathematics and empowers learners from a range of identities. Quotations from mathematics undergraduates’ mathematical biographies are given throughout the chapter. These quotations are presented to communicate students’ reasons for coming to university to study mathematics and thus something of their identification with the subject. Each quotation is presented without reference to the gender of the undergraduate who wrote it. The purpose of veiling the gender of the speaker is to help the reader to reflect on what might be gendered. Establishing a ‘pedagogical voice’ includes the university teacher establishing a voice to speak to the students, as well as learning to listen. In such a relational learning environment, developing an authentic teaching voice contributes to a new lecturer’s identity as university mathematician

    Mekaniken i optimal rodd

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    The forward dynamic approach is different from the inverse dynamic one, and could set up the relation between the angles and controls. The author tries to analyze the optimal rowing movement patterns between the catch and finish configurations in drive phase. The relation between the angles and controls is collected as a set of dynamic equilibrium equations. These equations utilize a finite element time discretization, and are solved simultaneously for the time T (Kaphle and Eriksson, 2008). Finally, the moving trajectory is obtained, and also the change of the angles and controls could be found
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