Showing 181 - 193 results of 193 for search '"uttering"', query time: 0.05s Refine Results
  1. 181

    The art of non-verbal communication in perlocutionary giftedness by Adam Świątek

    Published 2019-12-01
    “…In 1979, Cohen, Davis and Gaines highlighted the fact that perlocutionary acts have perlocutionary goals, which might be observed by the subsequent effects utterance have on the listener. In 2013, Post offered a new insight into the SAT and suggested that the role of perlocution ought not to be diminished, but enhanced and intensified. …”
    Get full text
    Article
  2. 182

    Awareness of glottal settings for the production of /h/-initial and vowel-initial words in French learners of L2 English by Christelle Exare

    Published 2022-07-01
    “…They were finally asked to utter the last phrase (‘poor animal’) with the glottal settings of their choice — either continuous voicing or glottalisation — and then say whether they had realised one or the other. …”
    Get full text
    Article
  3. 183

    Relations on Ensuring the Rights and Freedoms of a Man and Citizen as a Component of the Subject Matter of Administrative Law by A. T. Komziuk, Ye. A. Lypii

    Published 2020-09-01
    “…It is established that it can be carried out in different ways and means: by utterances in declarations, statements, enshrined in the Constitution and laws; participation in the preparation and adoption of international human rights instruments, accession to relevant international treaties, etc. …”
    Get full text
    Article
  4. 184

    TITO DORČIĆ AS A FORERUNNER OF THE IRONIC MODE by Dean Slavić

    Published 2020-01-01
    “…He is trapped by his own predisposition and social environment and becomes unhappy in the "better life" imposed on him by his father. He is utterly unsuccessful in his career as well as in his family life. 20th-century interpreters found the cause of Tito’s state, or the source for such a character, in Darwinist theories supposedly praised by the novel’s author; a more recent critic emphasises the psychoanalytic motifs. …”
    Get full text
    Article
  5. 185
  6. 186

    Quand les paroles s’envolent : réflexions sur les caractéristiques et la forme phonétique du High Rising Terminal en anglais contemporain by Stephan Wilhelm

    Published 2015-11-01
    “…The emergence of the so-called High Rising Terminal (HRT) or ‘uptalk’ – that is the use of rising intonation at the end of declarative utterances – is a major contemporary prosodic phenomenon that has been reported in numerous varieties of English worldwide (see for example Lakoff 1975; Ching 1982; Guy & Vonwiller 1984; Guy et al. 1986; Allan 1990; McLemore 1991; Britain 1992a, 1992b; Bradford 1997; Cruttenden 1997; Cheng & Warren 2005; Ladd 1996, 2008; Barry 2007; Liberman 2008; Sullivan 2010).The pragmatic function of the HRT is analysed in many different ways, and there is considerable variation in the descriptions of the speech segments in which it occurs. …”
    Get full text
    Article
  7. 187

    Fausses infinitives de but et mirativité by Geneviève Girard-Gillet

    Published 2020-10-01
    “…For the type a) sentences the utterer is expressing his derogatory point of view and giving his personal explanation to what occurred. …”
    Get full text
    Article
  8. 188

    An Efficient Malware Detection Approach Based on Machine Learning Feature Influence Techniques for Resource-Constrained Devices by Subir Panja, Subhash Mondal, Amitava Nag, Jyoti Prakash Singh, Manob Jyoti Saikia, Anup Kumar Barman

    Published 2025-01-01
    “…The growing use of computer resources in modern society makes it extremely vulnerable to several cyber-attacks, including unauthorized access to equipment and computer systems’ manipulation or utter breakdown. Malicious attacks in the form of malware cause significant harm to systems with limited resources. …”
    Get full text
    Article
  9. 189

    Applying the language acquisition model to the solution small language processing tasks by Dz. I. Kachkou

    Published 2022-03-01
    “…The relationship between the formal recording of utterances and their translation into the target low-resource language is learned by modeling the child's acquisition of vocabulary and grammar of the language. …”
    Get full text
    Article
  10. 190

    Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution by Samuel, Kakuba, Alwin, Poulose

    Published 2023
    “…Recurrent neural networks (RNN) like long short-term memory (LSTM), gated recurrent units (GRU) and their variants that operate sequentially are often used to learn time series sequences of the signal, analyze long-term dependencies and the contexts of the utterances in the speech signal. However, due to their sequential operation, they encounter problems in convergence and sluggish training that uses a lot of memory resources and encounters the vanishing gradient problem. …”
    Get full text
    Article
  11. 191

    Kořeny teorie spravedlivé války: od Platóna ke Grotiovi by Jiří Hutečka

    Published 2008-01-01
    “…In this way, the text starts with basically realist attitudes towards warfare in classical Greece (as exemplified by Thukydides), then moves to Plato's and Aristoteles' first efforts to connect warfare with morality (and with their utterly ethnocentric interpretation of it). Then, with little pause made for Roman “utilitarian turn” in the just war thinking, the text focuses its attention at Christian attitudes towards warfare, their efforts to accommodate it in their system of beliefs (as with Tertullian, Origen, or Ambrose), and their success in creating a suitable just war theory based on ideas of former ancient authors as well as on Christian teachings (as with St. …”
    Get full text
    Article
  12. 192

    Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features by Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee

    Published 2023
    “…In addition to emotional features that exist in each modality, the text modality consists of semantic and grammatical tendencies in the uttered sentences. Spatial and temporal features have been extracted sequentially in deep learning-based models using convolutional neural networks (CNN) followed by recurrent neural networks (RNN) which may not only be weak at the detection of the separate spatial-temporal feature representations but also the semantic tendencies in speech. …”
    Get full text
    Article
  13. 193

    Penentuan Filterbank Wavelet Menggunakan Algoritma Mean Best Basis untuk Ekstraksi Ciri Sinyal Suara Ber-Noise by Abdurahim Abdurahim, Syahroni Hidayat

    Published 2020-02-01
    “…The noisy speech signal used is the recorded utterance Indonesian vowels a, i, u, e, é, o, and ó. …”
    Get full text
    Article