speech recognition system

英 [spiːtʃ ˌrekəɡˈnɪʃn ˈsɪstəm] 美 [spiːtʃ ˌrekəɡˈnɪʃn ˈsɪstəm]

网络  语音识别系统; 语言识别系统; 语音辨识系统; 的语音识别系统; 语音辨识辨识程序

计算机



双语例句

  1. DSP Implementation of Speech Recognition System for Small Vocabulary Isolated Words
    小词汇量孤立词语音识别系统的DSP实现
  2. Using the inhomogeneous HMM is a potential way to improve the performance of speech recognition system.
    非齐次HMM模型是提高语音识别性能的潜在的重要方法。
  3. The Application of Improved RBF Neural Network Based on Genetic Algorithm in Speech Recognition System
    用遗传算法改进的RBF神经网络在语音识别系统中的应用
  4. Application of Wavelet Transform Technology in speech recognition system of an Intelligent Robot
    小波变换在机器人语音识别系统中的应用
  5. The Research and Implementation of Continuous Speech Recognition System Based on Word Network Model
    基于词网语言模型的连续语音识别系统的研究与实现
  6. Research on Linguistic Model of Uyghur Continuous Speech Recognition System
    维吾尔语连续语音识别系统中语言模型的研究
  7. Research on Mandarin Connected Digit Speech Recognition System Based on HTK
    基于HTK的汉语连续数字语音识别研究
  8. Language recognition is a significant component of multilingual human-machine interface, as the front end of a speech recognition system.
    语种识别是多语言人机接口的重要组成部分,主要用于系统前端。
  9. Research on Speech Recognition System Base on Dynamically Adapting Environment Endpoint Detection
    基于动态环境自适应端点检测的语音识别系统研究
  10. Design and Implementation of Speech Recognition System Based on FPGA
    基于FPGA语音识别系统设计与实现
  11. Research on Speech Recognition System Based on the Improved Hybrid HMM/ SVM Framework
    基于改进的HMM/SVM构架的语音识别系统的研究
  12. Research and Implementation of Speech Recognition System Based on Model-Matching; UNIT 16 Mainly revision
    基于模板匹配法的语音识别系统研究与基本实现
  13. Digital Speech Recognition System Based on Hybrid Model of CHMM and MLP
    基于混合模型CHMM和MLP的数码语音识别系统
  14. Speech Recognition System Based on HMM/ ANN Hybrid Model
    基于HMM/ANN混合模型的语音识别系统研究
  15. Normalization of pitch period in embedded speech recognition system
    基音周期标准化与嵌入式语音识别系统
  16. The speech recognition system based on MATLAB and BP neural networks
    基于MATLAB和BP网络的语音识别系统
  17. Research on Large Vocabulary Continuous Speech Recognition System for Mandarin Chinese
    汉语大词汇量连续语音识别系统研究进展
  18. Research on Speech Recognition System and Its Characteristic Parameters Extraction
    语音识别系统及其特征参数的提取研究
  19. Improved T-S fuzzy neural network in application of speech recognition system
    改进的T-S模糊神经网络在语音识别中的应用
  20. Uyghur continuous speech recognition system based on HMM
    基于隐马尔可夫模型的维吾尔语连续语音识别系统
  21. The Appliance of Natural Language Understanding System on Lake Water Clean-up Robot; Language recognition is a significant component of multilingual human-machine interface, as the front end of a speech recognition system.
    自然语言理解在湖水清污机器人中的应用语种识别是多语言人机接口的重要组成部分,主要用于系统前端。
  22. Using duration model in the post-processing stage of mandrin speech recognition system
    基于自然语言处理的语音识别后文本处理段长在汉语识别系统后处理阶段的应用
  23. The accuracy of a speech recognition system in actually noisy environment is seriously affected by the additive noise and the channel distortions.
    实际环境中的背景噪声和传输通道变化所引起的畸变严重影响了语音识别系统的性能。
  24. Research on speech recognition system based on forward and backward HMM
    基于前向-后向HMM的连续语音识别系统的研究
  25. Construction and Analysis of Speech Recognition System of Continual HMM
    基于连续HMM语音识别系统的构建与分析
  26. Speech feature parameter extraction is an very important part of the speech recognition system, especially in speech training and recognition.
    在说话人识别技术中,特征参数的提取对语音训练和识别有着非常重要的作用。
  27. Application Research on Statistical Language Model of Large Vocabulary Continuous Speech Recognition System
    大词汇量连续语音识别系统的统计语言模型应用研究
  28. To address the problem above, the speech recognition system has been built on the basis of HTK as well as hidden markov model theory.
    针对上述问题,结合隐马尔可夫模型原理,在HTK语音处理工具箱的基础上构建了中英文特定词语音识别系统。
  29. Hardware and Software Platform Design of Embedded Speech Recognition System
    嵌入式语音识别系统软硬件平台的构建
  30. This paper researches on the algorithm of tone feature extraction and proposes a scheme to apply tone information in mandarin speech recognition system.
    文章实现了声调特征提取的算法,并主要研究了如何应用这些特征,才能最大限度地发挥声调信息的作用,提高识别系统的性能。