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声学处理的英文

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"声学处理"怎么读用"声学处理"造句

英文翻译手机手机版

  • acoustic treatment
  • acoustical treatment

例句与用法

  • Acoustic processing and echo control sound pickup and playback is an important area of multimedia processing
    声学处理和回声控制拾音和重放是多媒体处理的一个重要领域。
  • Lpc prediction error ; one - side autocorrelation sequence lpc ; acoustic front end processing ; canonical correlation based on compensation ; combination of features
    线性预测误差单边自相关线性预测语音前端声学处理正则相关分析的谱变换补偿特征综合
  • For sound pickup , acoustic processing aims at the design of transducers or transducer arrays to achieve a durable directionality ( beam steering and width control ) as well as noise resistance
    对于拾音,声学处理的目标是设计耐用的指向性(束调整和宽度控制)及抗噪声换能器或换能器阵列。
  • The primary advances in speech and audio signal processing that contributed to multimedia applications are in the areas of speech and audio signal compression , speech synthesis , acoustic processing , echo control and network echo cancellation
    语音和音频信号处理的改进对多媒体应用的贡献在下述范围:语音和音频信号压缩、语音合成、声学处理、回声控制以及网络回声消除。
  • The influences that spherical conformation brings to the hall acoustics design are sound focusing and so on 。 in order to eliminate the defects such as sound focusing caused by spherical conformation , this kind of buildings need special acoustics deal . how to solve these problems of the common buildings effectively and economically is a title that deserving deep research
    为了消除球形围合面引起的声聚焦等声学缺陷,这类建筑均需经过特殊的声学处理,所以这类建筑如何进行有效而又经济的处理是一个值得研究的问题。
  • There are difficulties in noisy speech recognition , especially low signal - to - noise rations are more difficult . this paper describes briefly six methods for speaker - dependent noisy speech recognition isolated words . they are lpc prediction error method , one - side auto - correlation sequence lpc , acoustic front end processing , canonical correlation based on compensation method , combination of features method and increase of poles method . the experimental results show that all the six techniques can improve effectively noisy speech recognition , and the best noisy speech recognition rate is above 80 % when snr 0db
    它们是:线性预测误差法,单边自相关线性预测法,语音前端声学处理法,正则相关分析的谱变换补偿方法,特征综合法和同模极点增加法。实验结果表明,这6种方法都有效地提高了噪声环境中语音识别率,其中较好的方法在强噪声环境中信噪比为0db的语音识别率达到80 %以上,为信噪比较低的噪声环境中自动语音识别展现了美好前景。
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