continuous speech

英 [kənˈtɪnjuəs spiːtʃ] 美 [kənˈtɪnjuəs spiːtʃ]

网络  连续语音

计算机



双语例句

  1. Only recently, for example, has continuous speech recognition for dictation become available.
    例如,口授的连续语音识别直到最近才变得实用。
  2. Application of latent semantic analysis in continuous speech recognition
    潜在语义分析在连续语音识别中的应用
  3. Research on Adaption Technique in Continuous Speech Keyword Spotting System
    连续语音关键词识别系统中自适应技术的研究
  4. 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
  5. 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
  6. Before training distribution-shared allophone models for continuous speech recognition, it is context-independent phone models that have to be trained.
    在语音识别中,为了得到分布共享的异音模型,先要知道与发音语境无关的音素模型。
  7. A stochastically-based study on Chinese tone patterns in continuous speech development of hybrid speed control system in China employing target shooting Clasp Retarder and continuous control hydraulic retarder unit
    基于统计方法的汉语连续语音中声调模式的研究减速器-减速顶点连式调速系统在我国的发展与应用
  8. Syllable-based method of tone recognition for Chinese continuous speech
    基于音节的汉语连续语音声调识别方法研究
  9. A Comparative Study on Switching Ability of Continuous Speech between Hearing-impaired and Normal Hearing Children and Its Application
    听障与健听儿童连续语音切换能力的比较及应用研究
  10. The Performance Optimization Research on Large Vocabulary Continuous Speech Recognition
    大词汇量连续语音识别的性能优化研究
  11. 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
  12. The Design of Continuous Speech Corpus Based on Semi-syllabic Tibetan
    基于半音节的藏语连续语音语料库设计
  13. 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
  14. In large vocabulary continuous speech recognition, huge spaces are searched during the recognition process, resulting in vast computational cost.
    在语音识别的应用中,如何提高识别的效率性是一个重要的方向。
  15. 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
  16. The continuous speech Fo contour plays key role for the naturalness and emotion in text to speech conversion system.
    连续语音浊声基频轮廓是影响合成语音自然度和表现力的一个重要因素。
  17. Now research on voice recognition turns to large vocabulary speaker-independent continuous speech recognition and natural language understanding.
    语音识别研究也转向了大词汇非认人连续语音识别和自然语言理解。
  18. The system employs large vocabulary continuous speech recognition engine in front speech input end.
    系统中的语音识别引擎使用的是大词汇量连续语音识别技术。
  19. The experiments on connected digit and large vocabulary continuous speech show that the new algorithm is effective.
    对数字串和大词汇量连续语音识别的试验表明这个算法是有效的。
  20. A Study and Implementation of Syntactic and Semantic Analysis in English Continuous Speech Recognition
    英语连续语音识别中语法及语义分析的研究与实现
  21. Continuous speech recognition and automatic speech translation are important subjects.
    本文介绍了在连续语音识别和语音机器翻译方面所进行的工作。
  22. We will give experiment results of tone recognition for isolated word and continuous speech.
    我们将给出孤立字和连续语音情况下的实验结果。
  23. Fast speaker adaptation is very important in application of speaker independent continuous speech recognition.
    快速说话人自适应算法在非特定人连续语音识别的应用中有重要意义。
  24. Chinese continuous speech recognition has a good prospect of application and far-reaching research value.
    汉语连续语音识别拥有可观的应用前景和深远的研究价值。
  25. In Chinese speech recognition technology, speak independent and continuous speech is research focus and difficulty at present.
    汉语语音识别技术目前的研究热点和难点是非特定人的连续语音。
  26. In continuous speech, speech rate has a strong effect on the velocity and amplitude of lip movement.
    在连续语流状态下语速对嘴唇运动的速度和幅度都有很大的影响。
  27. Tone patterns and its variation rules are important to tone recognition for continuous speech.
    正确地分析其中的声调模式和变调规则,对汉语连续语音的声调识别有重要意义。
  28. Decoder is an indispensable part in continuous speech recognition, which can directly reflect the system performance.
    解码器是连续语音识别系统中最能直观反映系统性能的重要组成部分。
  29. Syllable segmentation in continuous speech is very difficult.
    连续语流中的音节分割是非常困难的。
  30. MFCC_FWT and screened twice based on Wavelet Transform segmentation algorithm were applied to process the continuous speech of Tibetan.
    首次将基于小波变换的两次筛选和MFCCFWT的分割算法应用到连续藏语音的分割中,将连续藏语音分割成孤立的语音单元后再进行识别。