Showing 121 - 140 results of 201 for search '"West Point"', query time: 0.14s Refine Results
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    En búsqueda de la mejor formación de oficiales by Enrique Gaitán-Monje, Andrés de Castro-García

    Published 2023-10-01
    “… Este artículo presenta dos estudios de caso sobre el modelo de formación de oficiales de la Academia General Militar de España y de la Academia Militar de West Point de Estados Unidos. Luego se hace un estudio comparado para dilucidar si proporcionan competencias similares a los cadetes de cada ejército. …”
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    Experiments on Automatic Recognition of Nonnative Arabic Speech by Douglas O'Shaughnessy, Sid-Ahmed Selouani, Yousef Ajami Alotaibi

    Published 2008-05-01
    “…The performance of an HMM-based Arabic speech recognition system is analyzed with respect to speaker gender and its native origin. The WestPoint modern standard Arabic database from the language data consortium (LDC) and the hidden Markov Model Toolkit (HTK) are used throughout all experiments. …”
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  6. 126

    Pharmacological validation of a novel nonhuman primate measure of thermal responsivity with utility for predicting analgesic effects by Vardigan JD, Houghton AK, Lange HS, Adarayan ED, Pall PS, Ballard JE, Henze DA, Uslaner JM

    Published 2018-04-01
    “…Joshua D Vardigan, Andrea K Houghton, Henry S Lange, Emily D Adarayan, Parul S Pall, Jeanine E Ballard, Darrell A Henze, Jason M Uslaner Merck Research Laboratories, West Point, PA, USA Introduction: The development of novel analgesics to treat acute or chronic pain has been a challenge due to a lack of translatable measurements. …”
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    Speaker Identification in Different Emotional States in Arabic and English by Ali Hamid Meftah, Hassan Mathkour, Said Kerrache, Yousef Ajami Alotaibi

    Published 2020-01-01
    “…The proposed system utilizes the KSUEmotions, emotional prosody speech and transcripts, WEST POINT, and TIMIT corpora. The CRNN system exhibited accuracies as high as 97.4% and 97.18% for Arabic and English emotional speech inputs, respectively, and 99.89% and 99.4% for Arabic and English neutral speech inputs, respectively. …”
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