連續語音識別 的英文怎麼說
中文拼音 [liánxùyǔyīnzhìbié]
連續語音識別
英文
continuous speech recognition- 連 : Ⅰ動詞1 (連接) link; join; connect 2 (連累) involve (in trouble); implicate 3 [方言] (縫) ...
- 續 : 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 : 語動詞[書面語] (告訴) tell; inform
- 音 : 名詞1. (聲音) sound 2. (消息) news; tidings 3. [物理學] (音質) tone 4. (姓氏) a surname
- 識 : 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 : 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...
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Mandarin continuous speech recognizer based on classical hmm
基於經典隱馬爾可夫模型的漢語連續語音識別系統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混合模型的連續數字語音識別器。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
漢語連續數字語音識別是語音識別中的一個重要分支,同英語發音的識別情況相比還有一定的差距,主要難點在於,首先漢語是單音節字,音節越少語音間的混淆程度越高,識別越困難。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
語音信號本身的特點造成了語音識別的困難,這些特點包括多變性、動態性、瞬時性和連續性等。計算機對語音識別的過程和人對語音的識別過程基本上一致。Some problems due to the essential characteristic of speech, which include levity 、 dynamic 、 instantaneous 、 continuum and so on, cause difficulties in recognition practice
語音信號本身的特點(包括多變性、動態性、瞬時性和連續性等)造成了語音識別技術實現上的困難。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識源,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。An error - tolerant algorithm in decoding module of mandarin continuous speech recognition is examined to correct substitution, insertion and deletion errors in acoustic recognition
摘要本文研究了漢語連續語音識別音字轉換中的容錯演算法,以糾正聲學識別的替代、插入、刪除錯誤。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 )作為語音特徵,基於隱馬爾可夫模型( hmm ) ,針對連續數字串識別任務的基本連續語音識別系統。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語音學、語言學等多層知識定義的狀態空間內搜索最符合語音輸入的詞序列。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Continuous speech recognition
連續語音識別Speaker - independent continuous speech recognition based on the biomimetic pattern recognition
基於仿生模式識別的非特定人連續語音識別的研究Research on chinese continuous speech recognition system and knowledge based search strategies
漢語連續語音識別系統與知識導引的搜索策略研究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。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。Now research on voice recognition turns to large vocabulary speaker - independent continuous speech recognition and natural language understanding
語音識別研究也轉向了大詞匯非認人連續語音識別和自然語言理解。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語音已能達到非常高的識別精度,但是無處不在的背景噪聲帶來了訓練模型和測試語音之間的失配,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。Automatic speech recognition is used more and more widely in people ’ s life, which is categorized into continuous speech recognition and keyword spotting
自動語音識別技術在當代人們的生活中有了越來越廣泛的應用。目前自動語音識別又大致分為連續語音識別和關鍵詞識別。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。分享友人