说话的人
- 与 说话的人 相关的网络例句 [注:此内容来源于网络,仅供参考]
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I had also arriv'd to some little Diversions and Amusements, which made the Time pass more pleasantly with me a great deal, than it did before; as First, I had taught my Poll, as I noted before, to speak; and he did it so familiarly, and talk'd so articulately and plain, that it was very pleasant to me; and he liv'd with me no less than six and twenty Years: How long he might live afterwards, I know not; though I know they have a Notion in the Brasils, that they live a hundred Years; perhaps poor Poll may be alive there still, calling after Poor Robin Crusoe to this Day.
首先,我前面也提到过,教会了鹦鹉说话。现在,它说得又熟练又清楚,实在令人高兴。这只鹦鹉同我一起生活了二十六年。至于它后来又活了多久,我也不知道了。但巴西人都认为,鹦鹉可以活上一百年,也许我那可怜的鹦鹉至今还活在岛上呢,还在叫着"可怜的鲁宾逊"哩!但愿没有一个英国人会这样倒霉,跑到那里听到它说话。要真的给他听到了,他肯定认为碰上了魔鬼呢!
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Wavelet transform is a new tool in signal processing which is fit for non-stationary signals and Teager energy operator can efficiently detect the 'energy' of a signal.
因此,无声段和清音段几乎不包含说话人的信息,在说话人辨认中,应该把无声段和清音段去掉,而只留下能够体现说话人个人信息的浊音段。
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In accordance with the actual project, this paper fully considers the comprehensive factors of speaker recognition system on the basis of explaining speaker recognition's principle, such as recognition rate, recognition speed, system stability etc. LPCC is used as the feature parameter. LPCC can reflect the esthesia feature of human in pronunciation and has offered a group of succinct speech signal model parameters which signify the range of frequency spectrum of the speech signal more accurately and the operation amount is not comparatively big. Combined vector quantization technology, the speech searched system has been developed.
本文依拖实际项目,在阐述说话人识别原理的基础上,充分考虑说话人识别系统的识别率、识别速度、稳定性等综合因素,采用能够反映人对语音的感知特性的线性预测倒谱系数LPCC 作为特征参数,LPCC 的重要性还在于,它提供了一组简洁的语音信号模型参数,这一组参数较精确地表征了语音信号的频谱幅度,而分析它们所需的运算量相对来讲却不大;同时结合矢量量化技术,成功开发出语音检索系统。
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After analyzing the current researches on speaker recognition and Ant Colony Optimization algorithm, in this thesis, introducing the ACO to the parameter training process of Gaussian mixture model for building speaker recognition system was proposed.
本论文在分析了说话人识别以及蚁群算法国内外研究现状的基础上,将蚁群算法引入到混合高斯模型的参数训练中,采用TopN方法对特征矢量作识别计算,并以此为基础实现了一个说话人识别系统。
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In this process, the interpreter should choose the proper context and relate the speaker"s ostensive stimuli with his cognitive environments to infer the speaker"s intention, and then take into consideration the target audiences cognitive environment and reproduce this intention.
在这过程中译者既是信息接受者又是信息传递者,不仅要面对说话人选择相关的语境,把说话人提供的明示信息和自己的认知环境相结合,推理出说话人的意图,又要考虑听话人的认知语境,为他们提供最佳关联性的语言信息来传递说话人的这一意图。
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it is important link on the speaker recognition study that how to achieve fast and accurate speech recognition.
如何能够快速准确的实现说话人识别是说话人识别研究的一个重要环节。
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Instead of statistical description, a feature subspace with the base of some significant eigen vector extracted from covariance matrix is constructed to describe speech feature distribution of speaker. Distance metrics for measuring distance between input feature vector and subspace are also proposed for pattern matching.
说话人语音训练样本提取特征后在语音特征观察空间形成具有一定散度的分布,根据主元分析原理和分布散度提取主要散度本征向量作为基底构成说话人语音特征子空间,并通过测试语音特征矢量与子空间的距离测度进行模式匹配。
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In the speaker recognition system, the personality feature of the speaker is one of the key problems of the system.
在说话人识别系统中,能够反映说话人个性的语音特征参数是系统的关键问题之一。
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Counter-expectation is a conventionalized inference of surprise at the continuation of a situation when that continuation is not expected.
反预期义是说话人在期待某事态不再持续时用&还&表示持续的语用推理,表达了说话人对客观持续的主观态度。
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Lip-reading is used for capturing information of a speaker through his/her lips movement. this technology is wildly used in speech recognition 、 ID recognition 、 Human-Computer intelligent interface and Multimedia system.
唇读技术可以通过说话人的口型运动特征对说话人的信息进行捕获,该技术被广泛应用于语音识别、身份识别、人机智能接口以及多媒体系统等领域。
- 推荐网络例句
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This one mode pays close attention to network credence foundation of the businessman very much.
这一模式非常关注商人的网络信用基础。
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Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.
扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。
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There is no differences of cell proliferation vitality between labeled and unlabeled NSCs.
双标记神经干细胞的增殖、分化活力与未标记神经干细胞相比无改变。