207 resultados para Human identification


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This paper explores the extent to which students in the introductory HRM course in US institutions are likely to be exposed to information on international and cross-cultural aspects of HRM. Two methods are used: (1) an analysis of international content in fifteen popular introductory HRM textbooks and (2) a survey of professors teaching introductory HRM. The vast majority of responding instructors said their classes got some exposure to international issues in HRM, and most introductory texts included some relevant content. Critiques of international boxed features and dedicated IHRM chapters are provided, and suggestions for improving the quality and depth of IHRM content in introductory textbooks are made.

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The effectiveness of higher-order spectral (HOS) phase features in speaker recognition is investigated by comparison with Mel Cepstral features on the same speech data. HOS phase features retain phase information from the Fourier spectrum unlikeMel–frequency Cepstral coefficients (MFCC). Gaussian mixture models are constructed from Mel– Cepstral features and HOS features, respectively, for the same data from various speakers in the Switchboard telephone Speech Corpus. Feature clusters, model parameters and classification performance are analyzed. HOS phase features on their own provide a correct identification rate of about 97% on the chosen subset of the corpus. This is the same level of accuracy as provided by MFCCs. Cluster plots and model parameters are compared to show that HOS phase features can provide complementary information to better discriminate between speakers.