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  • Comparative Studies. Non-European Languages/Literatures  (5)
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  • Comparative Studies. Non-European Languages/Literatures  (5)
RVK
  • 1
    Online Resource
    Online Resource
    English-as-a-second-language speakers’ perception of personality in English speech
    Acoustical Society of America (ASA) ; 2016
    In:  Journal of the Acoustical Society of America Vol. 140, No. 4_Supplement ( 2016-10-01), p. 3333-3333
    Details
    In: Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 140, No. 4_Supplement ( 2016-10-01), p. 3333-3333
    Abstract: We make inferences on speaker’s personality and emotion from their voices. This study aims at English-as-a-second-language (ESL) speakers’ perception of personality as reflected in public speech online given by native English speakers. Phonetic parameters such as speaking rate and pitch are manipulated and combined in different ways to examine their effects on perceptual judgement of personality and content comprehension. Our ESL listeners are 50 university students who are native speakers of Cantonese and fluent users of English. They answer questions on the content of the speech samples, and also make judgement on various traits of the speaker’ personality. The correct percentage and the judgement scores are recorded and examined for correlation between manipulation types and listening comprehension as well as that between phonetic parameters and perception of personality. Modification to the speaker’s pitch seem in general improve listeners’ comprehension accuracy as well as results in higher scores of personality perception, whereas that to the speaking rate does not show positive influence on speech comprehension or personality judgment. Our findings will provide insights to general phonetics and speech communication, but also pedagogical implications to academic English in nonnative settings.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.4970622
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2016
    detail.hit.zdb_id: 1461063-2
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Fault diagnosis of railway roller bearing based on vibration analysis and information fusion
    Acoustical Society of America (ASA) ; 2012
    In:  The Journal of the Acoustical Society of America Vol. 131, No. 4_Supplement ( 2012-04-01), p. 3307-3307
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 131, No. 4_Supplement ( 2012-04-01), p. 3307-3307
    Abstract: Roller bearing is an important mechanical element of railway vehicle. It usually has defects in outer race, inner race or balls due to continuous metal-metal contacts in high-speed operating conditions. For the reason of impurity in lubricant oil, measuring locations and background noise, fault features extracted from vibration signal directly in time-domain or frequency-domain are unstable or uncertain, which may seriously affect the diagnosis accuracy. This paper presents a diagnostic method based on vibration analysis and information fusion. In the method, the signal analysis methods such as wavelet packet are processed to depress background noise of collected vibration signals. Considering that vibration energy at characteristic rotational frequency may increase with defect on a particular bearing element, they are extracted as fault feature vectors, which are used to train support vector data description (SVDD) classifiers. To reduce recognition uncertainty of single fault classifier, each classifier is regarded as independent evidence, and all evidences are aggregated by Dempster's combination rule. Experiment results show that the proposed algorithm can improve the diagnosis accuracy of roller bearing.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.4708364
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2012
    detail.hit.zdb_id: 1461063-2
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Frequency interferences of two-unit quartz resonator arrays excited by lateral electric fields
    Acoustical Society of America (ASA) ; 2018
    In:  The Journal of the Acoustical Society of America Vol. 144, No. 5 ( 2018-11-01), p. 2971-2982
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 144, No. 5 ( 2018-11-01), p. 2971-2982
    Abstract: The coupled thickness-twist and face-shear vibrations of the lateral-field-excitation (LFE) two-unit resonator array are analyzed, and the frequency interference and shift of LFE resonator arrays are both studied. Different from most of the quartz resonator arrays based on thickness-field-excitation, the resonator array in this study operates with LFE generated by a pair of electrodes on the top surface of the resonator. By using Mindlin's first-order theory of piezoelectric plates, the electrically forced vibrations are analyzed. The effects of various structural parameters on the frequency interference and shift are examined; furthermore, the corresponding mechanisms are discussed. Varying trends of the frequency interference and shift with various structural parameters are verified by the finite element method. The results are crucial for avoiding frequency interferences between two adjacent units in parameter design of the resonator array operating on LFE.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.5079653
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2018
    detail.hit.zdb_id: 1461063-2
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    Online Resource
  • 4
    Online Resource
    Online Resource
    Swearwords reinterpreted : New variants and uses by young Chinese netizens on social media platforms
    John Benjamins Publishing Company ; 2020
    In:  Pragmatics Vol. 30, No. 3 ( 2020-8-17), p. 381-404
    Details
    In: Pragmatics, John Benjamins Publishing Company, Vol. 30, No. 3 ( 2020-8-17), p. 381-404
    Abstract: Swearwords are common on the Internet nowadays. In addition to traditional forms and functions, new features and uses have been created as disguises and hedges, or even as deviants from insults. Focusing on the ‘new swearwords’ prevalent in Chinese social media, we identified the most commonly used novel swearwords developed and favoured by the young Chinese netizens, and analysed their linguistic features and uses on a Chinese social network site. We discovered that certain swearwords have undergone linguistic transformation to take up new grammatical and pragmatic functions. The invention and prevalence of these new swearwords raise interesting points on the roles played by the Internet and social media in bringing netizens together and in enabling them to create web content in their speech community.
    Type of Medium: Online Resource
    ISSN: 1018-2101 , 2406-4238
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.1075/prag.30.3
    DOI: 10.1075/prag
    DOI: 10.1075/prag.18023.li
    RVK:
    EQ 1000
    Language: English
    Publisher: John Benjamins Publishing Company
    Publication Date: 2020
    detail.hit.zdb_id: 2480402-2
    detail.hit.zdb_id: 2669702-6
    detail.hit.zdb_id: 1072980-X
    SSG: 7,11
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    Online Resource
  • 5
    Online Resource
    Online Resource
    Text-independent pronunciation quality automatic assessment system for English retelling test
    Acoustical Society of America (ASA) ; 2012
    In:  The Journal of the Acoustical Society of America Vol. 131, No. 4_Supplement ( 2012-04-01), p. 3234-3234
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 131, No. 4_Supplement ( 2012-04-01), p. 3234-3234
    Abstract: An automatic grading system for spoken English retelling test is presented in this paper. Speech recognition technology is used in the system to evaluate the quality of retelling according to the pre-defined scoring rubric which includes speech fluency, pronunciation accuracy and content integrity. Scoring features for these quality aspects are firstly extracted by applying LVCSR, keyword spotting, forced alignment and confidence measurements. And then, these features are mapped to a score by using SVM model which is pre-trained on human rated test items. According to the experimental results the correlation coefficient between machine scores and expert scores is 0.729, which means that the system can be used in real examination to replace human scores. This work is partially supported by the National Natural Science Foundation of China (No. 10925419, 90920302, 10874203, 60875014, 61072124, 11074275, 11161140319).
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.4708063
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2012
    detail.hit.zdb_id: 1461063-2
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