197,950 research outputs found

    Acoustic voice analysis by means of the hoarseness diagram

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    The hoarseness diagram (Michaelis, Frohlich, & Strube, 1998a) has been proposed as a new approach to describe different acoustic properties of voices. To test its performance in the analysis of pathologically disturbed and normal voices five requirements are suggested that should be met by any acoustic voice-analysis protocol to be used in voice research and clinical practice. The hoarseness diagram is then tested with regard to these requirements. Individual voices are Found to show a satisfactory localization in the diagram. Aspects of stationarity are discussed in the context of four case studies. The different cases illustrate that changes in the acoustic analysis results are observed if the voice-generation conditions change, whereas results are stationary if phonation conditions do not change. Different pathological voice groups defined on grounds of the specific phonation mechanism are found to map to specific regions of the hoarseness diagram, with differences between group locations being significant. All results can be interpreted without exceptions if the two hoarseness diagram coordinates are taken to reflect the vibrational irregularity of the voice-generation mechanisms on the one side and the degree of closure of the vibrating structures on the other side. The hoarseness diagram and its underlying algorithms are thus shown to constitute a useful approach to acoustic voice analysis in research and clinical practice. The tests themselves demonstrate several application possibilities, including the quantitative monitoring of individual voices

    Acoustic voice analysis by means of the hoarseness diagram

    No full text
    The hoarseness diagram (Michaelis, Frohlich, & Strube, 1998a) has been proposed as a new approach to describe different acoustic properties of voices. To test its performance in the analysis of pathologically disturbed and normal voices five requirements are suggested that should be met by any acoustic voice-analysis protocol to be used in voice research and clinical practice. The hoarseness diagram is then tested with regard to these requirements. Individual voices are Found to show a satisfactory localization in the diagram. Aspects of stationarity are discussed in the context of four case studies. The different cases illustrate that changes in the acoustic analysis results are observed if the voice-generation conditions change, whereas results are stationary if phonation conditions do not change. Different pathological voice groups defined on grounds of the specific phonation mechanism are found to map to specific regions of the hoarseness diagram, with differences between group locations being significant. All results can be interpreted without exceptions if the two hoarseness diagram coordinates are taken to reflect the vibrational irregularity of the voice-generation mechanisms on the one side and the degree of closure of the vibrating structures on the other side. The hoarseness diagram and its underlying algorithms are thus shown to constitute a useful approach to acoustic voice analysis in research and clinical practice. The tests themselves demonstrate several application possibilities, including the quantitative monitoring of individual voices

    Brevis Expositio Jurium Serenissimo Et Potentissimo M. Britanniæ Regi, Qua Electori Brunsuicensi Ac Luneburgensi In Frisiam Orientalem Competentium

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    [David Georg Strube]Verf. erm. in Holzmann, BohattaAutopsie nach Ex. der ULB Sachsen-AnhaltVorlageform des Erscheinungsvermerks: MDCCXLIV

    Tetrode recordings from visual neurons in flying monarch butterflies

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    Beetz MJ, Strube-Bloss M, elJundi B. Tetrode recordings from visual neurons in flying monarch butterflies. Presented at the 13th Göttingen Meeting of the German Neuroscience Society, Göttingen

    Serial correlation in neural spike trains: Experimental evidence, stochastic modeling, and single neuron variability

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    Farkhooi F, Strube-Bloss M, Nawrot MP. Serial correlation in neural spike trains: Experimental evidence, stochastic modeling, and single neuron variability. Physical Review E. 2009;79(2): 021905

    Rapid encoding of stimulus-reward association in mushroom body output neurons of the honeybee.

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    Nawrot MP, Strube-Bloss M, Menzel R. Rapid encoding of stimulus-reward association in mushroom body output neurons of the honeybee. Frontiers in Computational Neuroscience. 2010;4

    Mushroom Body Output Neurons Encode Odor-Reward Associations

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    Strube-Bloss M, Nawrot MP, Menzel R. Mushroom Body Output Neurons Encode Odor-Reward Associations. Journal of Neuroscience. 2011;31(8):3129-3140

    UV light perception is modulated by the odour element of an olfactory–visual compound in restrained honeybees

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    Becker MC, Rössler W, Strube-Bloss M. UV light perception is modulated by the odour element of an olfactory–visual compound in restrained honeybees. The Journal of Experimental Biology. 2019;222(10): jeb201483
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