連續語音識別 的英文怎麼說

中文拼音 [liányīnzhìbié]
連續語音識別 英文
continuous speech recognition
  • : Ⅰ動詞1 (連接) link; join; connect 2 (連累) involve (in trouble); implicate 3 [方言] (縫) ...
  • : Ⅰ形容詞(連接不斷) continuous; successive Ⅱ動詞1 (接在原有的后頭) continue; extend; join 2 (...
  • : 語動詞[書面語] (告訴) tell; inform
  • : 名詞1. (聲音) sound 2. (消息) news; tidings 3. [物理學] (音質) tone 4. (姓氏) a surname
  • : 識Ⅰ動詞[書面語] (記) remember; commit to memory Ⅱ名詞1. [書面語] (記號) mark; sign 2. (姓氏) a surname
  • : 別動詞[方言] (改變) change (sb. 's opinion)
  • 連續 : continuation; succession; series; continuity; continuing; running; continuous; successive; contin...
  • 語音 : speech sounds; pronunciation; voice
  • 識別 : 1 (辯別; 辯認) discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. Mandarin continuous speech recognizer based on classical hmm

    基於經典隱馬爾可夫模型的漢連續語音識別系統
  2. The purpose of this thesis is to realize a gmm - based connected digits speech recognizer

    本文實現了一個基於gaussian混合模型的數字器。
  3. Connected digit speech recognition is a crucial branch of continuous speech recognition. it has a long time attracted the attentions of many researchers because it has wide applications such as speech autodialer, personal number verification, etc. mandarin connected digit speech recognition, for its own pronunciation characteristic ' s more difficult than english digit recognition

    數字中的一個重要分支,同英情況相比還有一定的差距,主要難點在於,首先漢是單節字,節越少間的混淆程度越高,越困難。
  4. The characteristics of speech signal have caused the difficulty of speech recognition, these characteristics include changefulness, dynamism, instantance and continuity etc. the process of computer recognition for speech and the identification process for speech by a person are basically consistent

    信號本身的特點造成了的困難,這些特點包括多變性、動態性、瞬時性和性等。計算機對的過程和人對過程基本上一致。
  5. Some problems due to the essential characteristic of speech, which include levity 、 dynamic 、 instantaneous 、 continuum and so on, cause difficulties in recognition practice

    信號本身的特點(包括多變性、動態性、瞬時性和性等)造成了技術實現上的困難。
  6. Viberbi beam search algorithm based on dynamic programming has become increasingly popular in csr, with which knowledge sources can be efficiently organized to constrain search space and different pruning strategies can be easily combined

    為了有效地組織各種知源,約束搜索空間,基於動態規劃思想的viterbibeam搜索演算法成為目前連續語音識別主要採用的方法。
  7. An error - tolerant algorithm in decoding module of mandarin continuous speech recognition is examined to correct substitution, insertion and deletion errors in acoustic recognition

    摘要本文研究了漢連續語音識別字轉換中的容錯演算法,以糾正聲學的替代、插入、刪除錯誤。
  8. Web gis system based on mapx

    基於遺傳演算法提高計算機連續語音識別率的研究
  9. In this thesis, first we analyzed and designed a traditional continued speech recognition system, which based on hmm and mfcc speech features. then we researched some noise robust technologies based on that system

    本論文首先分析並實現了一個以mel頻率倒譜系數( mfcc )作為特徵,基於隱馬爾可夫模型( hmm ) ,針對數字串任務的基本連續語音識別系統。
  10. The essential of csr is search in a state space defined by various knowledge sources, such as phonetics and linguistics

    連續語音識別實質上是在學、言學等多層知定義的狀態空間內搜索最符合輸入的詞序列。
  11. Embedded speaker - independent continuous speech recognition system based on mpc

    5200的嵌入式非特定人連續語音識別系統
  12. Continuous speech recognition

    連續語音識別
  13. Speaker - independent continuous speech recognition based on the biomimetic pattern recognition

    基於仿生模式的非特定人連續語音識別的研究
  14. Research on chinese continuous speech recognition system and knowledge based search strategies

    連續語音識別系統與知導引的搜索策略研究
  15. The research will lead to a new recognition system for the spontaneous and conversational speech

    本課題旨在研究和開發一個具有自然交談風格的大詞匯量連續語音識別系統。
  16. A number of techniques have been developed to reduce the mismatch caused by environment noise over the past decades

    然後基於此基本連續語音識別系統進行了抗噪聲技術的研究。
  17. Now research on voice recognition turns to large vocabulary speaker - independent continuous speech recognition and natural language understanding

    研究也轉向了大詞匯非認人連續語音識別和自然言理解。
  18. Because noise causes the mismatch between the acoustic models and the testing speech, the performance of speech recognition systems will degrade rapidly in noisy environments. therefore, noise robust technology is a very crucial problem for the speech recognition

    目前的連續語音識別系統對純凈已能達到非常高的精度,但是無處不在的背景噪聲帶來了訓練模型和測試之間的失配,這種失配使得連續語音識別系統的性能在噪聲環境中急劇下降。
  19. Automatic speech recognition is used more and more widely in people ’ s life, which is categorized into continuous speech recognition and keyword spotting

    自動技術在當代人們的生活中有了越來越廣泛的應用。目前自動又大致分為連續語音識別和關鍵詞
  20. Considerable progress has been made in continuous speech recognition ( csr ) technology over last decade, which promotes various successful applications

    二十世紀九十年代以來,連續語音識別技術取得了突破性的進展,推動了多種應用的發展。
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