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  • Comparative Studies. Non-European Languages/Literatures  (12)
  • 1
    Online Resource
    Online Resource
    Book Reviews
    Informa UK Limited ; 1998
    In:  The Translator Vol. 4, No. 2 ( 1998-01), p. 353-379
    Details
    In: The Translator, Informa UK Limited, Vol. 4, No. 2 ( 1998-01), p. 353-379
    Type of Medium: Online Resource
    ISSN: 1355-6509 , 1757-0409
    URL: Article
    DOI: 10.1080/13556509.1998.10799027
    RVK:
    ES 710
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 1998
    detail.hit.zdb_id: 2491913-5
    detail.hit.zdb_id: 1231614-3
    SSG: 7,11
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  • 2
    Online Resource
    Online Resource
    A transfer learning approach to goodness of pronunciation based automatic mispronunciation detection
    Acoustical Society of America (ASA) ; 2017
    In:  The Journal of the Acoustical Society of America Vol. 142, No. 5 ( 2017-11-01), p. 3165-3177
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 142, No. 5 ( 2017-11-01), p. 3165-3177
    Abstract: Goodness of pronunciation (GOP) is the most widely used method for automatic mispronunciation detection. In this paper, a transfer learning approach to GOP based mispronunciation detection when applying maximum F1-score criterion (MFC) training to deep neural network (DNN)-hidden Markov model based acoustic models is proposed. Rather than train the whole network using MFC, a DNN is used, whose hidden layers are borrowed from native speech recognition with only the softmax layer trained according to the MFC objective function. As a result, significant mispronunciation detection improvement is obtained. In light of this, the two-stage transfer learning based GOP is investigated in depth. The first stage exploits the hidden layer(s) to extract phonetic-discriminating features. The second stage uses a trainable softmax layer to learn the human standard for judgment. The validation is carried out by experimenting with different mispronunciation detection architectures using acoustic models trained by different criteria. It is found that it is preferable to use frame-level cross-entropy to train the hidden layer parameters. Classifier based mispronunciation detection is further experimented with using features computed by transfer learning based GOP and it is shown that it also helps to achieve better results.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.5011159
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2017
    detail.hit.zdb_id: 1461063-2
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  • 3
    Online Resource
    Online Resource
    Active-passive multilayered panels for reduction of both acoustic reflection and transmission
    Acoustical Society of America (ASA) ; 2008
    In:  The Journal of the Acoustical Society of America Vol. 123, No. 5_Supplement ( 2008-05-01), p. 3874-3874
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 123, No. 5_Supplement ( 2008-05-01), p. 3874-3874
    Abstract: The design of panels reducing both acoustic reflection and transmission for a wide frequency range is a problem of considerable practical interest for building or transport industries. Classically, these panels are made up of elastic plates bonded to poroelastic layers. Such structures are efficient in the middle and high frequency range but exhibit a lack of performance at low frequency. Hybrid passive/active cells previously developed at the LMFA have proved their efficiency for global noise reduction. They combine passive means (elastic plates, poroelastic material) and active control through a piezoelectric actuator to ensure high panel performance throughout the whole frequency range. In this paper, two systems are described. The first one is a multilayered panel combining two cells: the first cell on the emission side ensures high absorption, the second cell located at the rear face aims at reducing transmission. The second structure consists of a double-plate system using a microperforated plate on the emission side and an active plate on the transmission side. The performance of the two systems are examined through analytical or numerical simulations developed for plane waves and diffuse field conditions, and through experiments carried out for plane waves under normal incidence.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.2935768
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2008
    detail.hit.zdb_id: 1461063-2
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  • 4
    Online Resource
    Online Resource
    Ling Hon Lam. The Spatiality of Emotion in Early Modern China: From Dreamscapes to Theatricality . New York: Columbia University Press, 2018. 360 pp.
    University of Chicago Press ; 2020
    In:  Critical Inquiry Vol. 46, No. 2 ( 2020-01), p. 471-473
    Details
    In: Critical Inquiry, University of Chicago Press, Vol. 46, No. 2 ( 2020-01), p. 471-473
    Type of Medium: Online Resource
    ISSN: 0093-1896 , 1539-7858
    URL: Article
    DOI: 10.1086/706677
    RVK:
    EA 1000
    Language: English
    Publisher: University of Chicago Press
    Publication Date: 2020
    detail.hit.zdb_id: 221884-7
    detail.hit.zdb_id: 2046596-8
    SSG: 7,25
    SSG: 7,12
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  • 5
    Online Resource
    Online Resource
    Experimental investigation of bottom target detection by single channel iterative time reversal.
    Acoustical Society of America (ASA) ; 2009
    In:  The Journal of the Acoustical Society of America Vol. 125, No. 4_Supplement ( 2009-04-01), p. 2702-2702
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 125, No. 4_Supplement ( 2009-04-01), p. 2702-2702
    Abstract: Iterative time reversal process will gradually lead echo waves to converge to a dominant narrowband resonant mode of the target and enhance the return level in noisy and reverberant environment. This technique is used in bottom target detection and an experiment has been performed in the Yellow Sea, China. The experiment is in a monostatic configuration, and the target, which is a 53 cm external diameter and 260 cm long stainless steel cylindrical shell with concrete interior, is resting on the seafloor, and the directional transceiver, which is a transmitter and receiver couple, is located right above the target. First, a broadband interrogation pulse is launched, and the echo is measured and a bandpass filter is applied to avoid transceiver response peak, then the signal is time reversed and retransmitted, and repeat above procedures iteratively. The bottom reverberation will gradually be suppressed, and the center frequency of converged signal corresponds to a target resonance frequency, which is different from inhomogeneous bottom response in no target case. The existence of target is determined by this important acoustic signature, and the results illustrate the feasibility of this method. [Work partially supported by the CAS Innovation Fund.]
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.3139551
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2009
    detail.hit.zdb_id: 1461063-2
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  • 6
    Online Resource
    Online Resource
    Minority language testing: the social impact of the Zhuang language proficiency test in China
    Informa UK Limited ; 2022
    In:  Journal of Multilingual and Multicultural Development
    Details
    In: Journal of Multilingual and Multicultural Development, Informa UK Limited
    Type of Medium: Online Resource
    ISSN: 0143-4632 , 1747-7557
    URL: Article
    DOI: 10.1080/01434632.2022.2097249
    RVK:
    EQ 1000
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2022
    detail.hit.zdb_id: 136713-4
    detail.hit.zdb_id: 1480742-7
    SSG: 7,11
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  • 7
    Online Resource
    Online Resource
    Conversion of tones to soothing noise
    Acoustical Society of America (ASA) ; 2023
    In:  The Journal of the Acoustical Society of America Vol. 153, No. 3_supplement ( 2023-03-01), p. A151-A151
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 153, No. 3_supplement ( 2023-03-01), p. A151-A151
    Abstract: When pure-tone sound signal of frequency fs interacts with a boundary whose acoustic property varies at a frequency of fm, part of the incident sound energy is scattered to the sum and difference frequencies, fs ± n fm, where n is any integer but n = 1 dominates. When the modulation frequency fm has a bandwidth, spanning from fm1 to fm2, the resulting scattered sound carries the same bandwidth of fm2-fm1. In this manner, pure tone is partly converted to broadband noise and will be less annoying to human ears. This talk first introduces the initial experimental evidence of such frequency scattering using a realistic design (see reference paper with doi:10.1038/ s42005-021-00721-1). Then the latest results of numerical study on the maximization of the energy scattering is presented. An attempt is also made to examine the question of what room mode or eigen frequencies will be when part of the room boundaries has a time-dependent wall properties. Note that the time-varying wall remains passive in the sense that the property variation is independent of the incident sound and there is no energy input required.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/10.0018472
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2023
    detail.hit.zdb_id: 1461063-2
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  • 8
    Online Resource
    Online Resource
    A generalized network based on multi-scale densely connection and residual attention for sound source localization and detection
    Acoustical Society of America (ASA) ; 2022
    In:  The Journal of the Acoustical Society of America Vol. 151, No. 3 ( 2022-03-01), p. 1754-1768
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 151, No. 3 ( 2022-03-01), p. 1754-1768
    Abstract: Sound source localization and detection (SSLD) is a joint task of identifying the presence of individual sound events and locating the sound sources in space. However, due to the diversity of sound events and the variability of sound source location, SSLD becomes a tough task. In this paper, we propose a SSLD method based on a multi-scale densely connection (MDC) mechanism and a residual attention (RA) mechanism. We design a MDC block to integrate the information from a very local to exponentially enlarged receptive field within the block. We also explored three kinds of RA blocks that can facilitate the conductivity of information flow among different layers by continuously adding feature maps from the previous layers to the next layer. In order to recalibrate the feature maps after convolutional operation, we design a dual-path attention (DPA) unit that is largely embodied in MDC and RA blocks. We firstly verified the effectiveness of the MDC block, RA block, and DPA unit, respectively. We then compared our proposed method with another four methods on the development dataset; finally, with SELDnet and SELD-TCN on another five datasets, experimental results show the generalization of our proposed method.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/10.0009671
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2022
    detail.hit.zdb_id: 1461063-2
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  • 9
    Online Resource
    Online Resource
    Social Trait Information in Deep Convolutional Neural Networks Trained for Face Identification
    Wiley ; 2019
    In:  Cognitive Science Vol. 43, No. 6 ( 2019-06)
    Details
    In: Cognitive Science, Wiley, Vol. 43, No. 6 ( 2019-06)
    Abstract: Faces provide information about a person's identity, as well as their sex, age, and ethnicity. People also infer social and personality traits from the face — judgments that can have important societal and personal consequences. In recent years, deep convolutional neural networks ( DCNN s) have proven adept at representing the identity of a face from images that vary widely in viewpoint, illumination, expression, and appearance. These algorithms are modeled on the primate visual cortex and consist of multiple processing layers of simulated neurons. Here, we examined whether a DCNN trained for face identification also retains a representation of the information in faces that supports social‐trait inferences. Participants rated male and female faces on a diverse set of 18 personality traits. Linear classifiers were trained with cross validation to predict human‐assigned trait ratings from the 512 dimensional representations of faces that emerged at the top‐layer of a DCNN trained for face identification. The network was trained with 494,414 images of 10,575 identities and consisted of seven layers and 19.8 million parameters. The top‐level DCNN features produced by the network predicted the human‐assigned social trait profiles with good accuracy. Human‐assigned ratings for the individual traits were also predicted accurately. We conclude that the face representations that emerge from DCNN s retain facial information that goes beyond the strict limits of their training.
    Type of Medium: Online Resource
    ISSN: 0364-0213 , 1551-6709
    URL: Issue
    URL: Article
    DOI: 10.1111/cogs.2019.43.issue-6
    DOI: 10.1111/cogs.12729
    RVK:
    EQ 1000
    RVK:
    CL 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 282371-8
    detail.hit.zdb_id: 2002940-8
    SSG: 25
    SSG: 5,2
    SSG: 7,11
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  • 10
    Online Resource
    Online Resource
    Attention-related modulation of involuntary audio-vocal response to pitch feedback errors
    Acoustical Society of America (ASA) ; 2014
    In:  The Journal of the Acoustical Society of America Vol. 136, No. 4_Supplement ( 2014-10-01), p. 2294-2294
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 136, No. 4_Supplement ( 2014-10-01), p. 2294-2294
    Abstract: It has been demonstrated that unexpected alterations in auditory feedback elicit fast compensatory adjustments in vocal production. Although generally thought to be involuntary in nature, whether these adjustments can be influenced by cognitive function such as attention remains unknown. The present event-related potential (ERP) study investigated whether neurobehavioral processing of auditory-vocal integration can be affected by attention. While sustaining a vowel phonation and hearing pitch-shifted feedback, participants were required to either ignore the auditory feedback perturbation, or attend to it with two levels of attention load. The results revealed enhancement of P2 response to the attended auditory perturbation with the low load level as compared to the unattended auditory perturbation. Moreover, increased auditory attention load led to a significant decrease of P2 response. By contrast, there was no attention-related change of vocal response. These findings provide the first neurophysiological evidence that involuntary auditory-vocal integration can be modulated as a function of auditory attention. Furthermore, it is suggested that auditory attention load can result in a decrease of the cortical processing of auditory-vocal integration in pitch regulation.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.4900294
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2014
    detail.hit.zdb_id: 1461063-2
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