HAFNIA PHYTASE VARIANTS
    41.
    发明申请

    公开(公告)号:US20100083392A1

    公开(公告)日:2010-04-01

    申请号:US12568312

    申请日:2009-09-28

    摘要: The present invention relates to phytases having at least 76% identity to a phytase derived from Hafnia alvei and comprises at least one modification in the amino acid sequence thereof. These phytase variants have modified, preferably improved, properties, such as, reduced protease sensibility, preferably they exhibit improved properties in respect of thermal performance, such as heat-stability (temperature stability, thermostability), steam stability, pelleting stability and/or temperature profile; and/or protease stability, in particular pepsin stability, pH profile, specific activity, substrate specificity, performance in animal feed (such as an improved release and/or degradation of phytate), susceptibility to glycation, and/or glycosylation pattern. The invention also relates to DNA encoding these phytases, methods of their production, as well as the use thereof, e.g., in animal feed and animal feed additives.

    摘要翻译: 本发明涉及与衍生自哈夫单胞菌属植物的植酸酶具有至少76%同一性的植酸酶,并且包含其氨基酸序列中的至少一个修饰。 这些植酸酶变体具有改性的,优选改进的性质,例如降低的蛋白酶敏感性,优选它们在热性能方面表现出改进的性能,例如热稳定性(温度稳定性,热稳定性),蒸汽稳定性,造粒稳定性和/或温度 简介 和/或蛋白酶稳定性,特别是胃蛋白酶稳定性,pH曲线,比活性,底物特异性,动物饲料中的性能(如植酸盐的改善的释放和/或降解),对糖基化的敏感性和/或糖基化模式。 本发明还涉及编码这些植酸酶的DNA,其生产方法及其用途,例如在动物饲料和动物饲料添加剂中。

    Method for speaker adaptation of speech models recognition scheme using
the method and recording medium having the speech recognition method
recorded thereon
    43.
    发明授权
    Method for speaker adaptation of speech models recognition scheme using the method and recording medium having the speech recognition method recorded thereon 失效
    使用该方法的语音模型识别方案的讲话者适应方法和其上记录有语音识别方法的记录介质

    公开(公告)号:US5835890A

    公开(公告)日:1998-11-10

    申请号:US835421

    申请日:1997-04-09

    IPC分类号: G10L15/065 G10L7/08

    CPC分类号: G10L15/065

    摘要: In a speaker adaptation method for speech models, input speech is transformed to a feature parameter sequence like a cepstral sequence, and N model sequences of maximum likelihood for the feature parameter sequence are extracted from speaker-independent speech HMMs by an N-best hypothesis extraction method. The extracted model sequences are each provisionally adapted to maximize its likelihood for the feature parameter sequence of the input speech while changing the HMM parameters of each sequence, and that one of the provisionally adapted model sequences which has the maximum likelihood for the feature parameter sequence of the input speech is selected and speech models of the selected sequence are provided as adapted HMMs of the speaker to be recognized.

    摘要翻译: 在用于语音模型的说话人适应方法中,输入语音被转换成诸如倒谱序列的特征参数序列,并且通过N最佳假设提取从与说话者无关的语音HMM中提取特征参数序列的最大似然度的N个模型序列 方法。 提取的模型序列每个临时适合于在改变每个序列的HMM参数的同时最大化其输入语音的特征参数序列的可能性,并且对于特征参数序列具有最大可能性的临时适配模型序列之一 选择输入语音,并且提供所选序列的语音模型作为待识别的说话者的适应HMM。