speech-recognition 中文意思是什麼

speech-recognition 解釋
語言識別
  • speech : n. 1. 言語；說話；談話；說話能力（或方式）。2. 民族語言，方言，專門語言；〈罕用語〉流言。3. 演說，演講；發言。4. 【語言學】詞（類）；引語；用語。5. （樂器的）音，音色。
  • recognition : n. 1. 認識；識出；識別；面熟，認得；招呼。2. 承認，認可。3. 褒獎，表揚；感謝，酬勞。
  1. 3 ) we try to import the bayesian adaptation, which is widely used in speech recognition, into speaker verification. we use bayesian maximum a posteriori estimation training a speaker model from background model, to solve the problem of model miss matching in speaker verification system

    3 ）為了解決說話人確認中存在的模型不匹配問題，嘗試將語音識別中的貝葉斯自適應演算法引入到基於高斯混合統一背景模型的說話人確認系統。
  2. Noisy chinese speech recognition based on linear prediction of one - sided autocorrelation sequence

    基於單邊自相關線性預測噪聲中漢語語音識別
  3. In the second part, the focuses are put on the methods of realization of atc instruction speech recognition, automatic pilot reply text - to - speech, management of sky talk dialogue and aircraft state feed back display

    第二部分重點研究了本系統的管制指令語音識別、自動機長語音合成、陸空通話管理器和飛行信息反饋顯示四個模塊的具體設計方法及過程。
  4. Enhancing chinese speech recognition for cochlear implant users by using hearing aid in the contralateral ear

    聯合使用助聽器和增強電子耳蝸的使用者的中文語音識別
  5. After realized the arithmetic, add the complexity, such as add sonority noise, paroxysmal noise, etc. than used the method of amending parameters, reference cyclostyle and two stage recognition to improve the precision of speech recognition

    Dsp方案採用tms320vc5409一80為核心，搭配ad轉換器tlc2558 、電源晶元tps73hd318等組成完整的硬體電路。
  6. The speech recognition ' s system ( in this paper we mainly discuss ibm viavoice ) has the certain capacity of self - adaptation to the speech velocity, volume and tone, but the capacity of those is not enough with different enunciator

    目前的語音識別系統（本文中主要是指ibm的viavoice語音識別系統）對語速、音量和音調都具有一定的自適應調整能力。
  7. This thesis tries to update the cmdsr system to achieve the characters below : real - time, better robust, higher recognition rate, non - special - man. considering the disadvantages of traditional improved spectrum subtraction speech enhancement, this thesis proposes the theory of fuzzy spectrum subtraction based on the fuzzy theory and improved spectrum subtraction speech enhancement ; as for the difficulties of detecting the endpoint of speech signal, the thesis gives the table of initial and the improved parameters, with which we can confirm the endpoints of mandarin digit speech ; the thesis puts forward two - level digit real - time speech recognition system, the first level is based on discrete hidden markov model which is linear predictive coding cepstrum ( lpcc ) and difference linear predictive coding cepstrum ( dlpcc ), the second level is based on formant parameters ; as for the realization of hardware, the thesis depicts the realization of every part of cmdsr based on the tms320vc5402 in detail ; as for the development of software, the thesis gives the software design flow chart of cmdsr, simulates the basic theory with matlab language and gives the simulation results

    針對傳統的「改進譜相減法語音增強」參數設定單一、環境適應能力差的缺點，提出了一種利用模糊理論和「改進的譜相減法」結合的「模糊譜相減法語音增強」 ;針對語音信號端點檢測困難的特點，通過matlab模擬試驗，給出了能夠準確確定數碼語音端點的初始和改進參數表;提出了利用基於線性預測編碼倒譜參數和差分線性預測編碼倒譜參數相結合的離散隱含馬爾可夫模型進行第一級識別、利用共振峰參數進行第二級識別的兩級漢語數碼語音識別系統，在保證系統實時性的同時，實現連接漢語數碼語音識別系統識別率的提高;在硬體實現上，詳細闡述了基於tms320vc5402的連接漢語數碼語音識別系統各部分硬體設計;在軟體開發上，給出了連接漢語數碼語音識別的軟體設計各部分的流程圖，並對各部分進行了matlab模擬，並給出了模擬結果。
  8. At the same time according to the low recognition rate in speech recognition system, the author used the method of fundamental frequency analysis to build male / female recognition model respectively

    同時針對語音識別系統中識別率不高的問題，採用基音頻率分析的方法分別建造男女聲識別模型。
  9. Speech recognition is a cross - disciplinary, is gradually becoming it, the key to human interface technology, voice recognition and voice synthesis technologies combining technology integral voice response systems, voice synthetic systems, interactive toys, enable people to voice ordering through operation, the control mode flexibility, a broad market prospect

    語音識別是一門交叉學科，正逐步成為信息技術中人機介面的關鍵技術，語音識別技術與語音合成技術相結合組成語音應答系統、語音合成系統、互動式玩具等，使人們能夠通過語音命令進行操作，控制方式靈活方便，具有廣闊的市場前景。
  10. A framework for dialectal chinese speech recognition is proposed and studied, in which a relatively small dialectal chinese or in other words chinese influenced by the native dialect speech corpus and dialect - related knowledge are adopted to transform a standard chinese or putonghua, abbreviated as pth speech recognizer into a dialectal chinese speech recognizer

    但在實際中，多數人所說的普通話因受其方言背景的影響而不十分標準，這大大影響了語音識別的性能。一種解決方案是，對每種方言都收集足夠多的語音數據然後構造相應的識別器，但由於漢語方言種類多且差異大，時間和成本都是很高的。
  11. This programme will also benefit from the departments comprehensive research into speech recognition and coding in chinese and other asian tone languages

    而新學系亦會對華語及其他亞洲聲調語言作全面的研究，令人工耳蝸項目的發展更相得益彰。
  12. Asr automatic speech recognition

    自動語音識別
  13. The framework and functions of the system based on commercial automatic speech recognition ( asr ) engine are introduced

    摘要介紹實現商用自動語音識別的系統架構及其功能，闡述應用自動語音識別技術實現的新通信增值業務。
  14. 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。
  15. It uses liquid battery, speech recognition, flexible touch screen, touch sensitive body cover which lets it understand and adjust to the environment

    它使用液體電池，語音識別，柔性觸摸屏，觸摸敏感體，其中包括允許它了解並適應環境。
  16. 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。
  17. The same applies for computer speech recognition

    這一點同樣適用於計算機語音識別。
  18. The process of computer speech recognition is almost the same as that of human ’ s. now the mainstream of speech recognition technology is based on the basic theory of statistic mode recognition

    計算機對語音識別的過程和人對語音識別的過程基本上是一致的，目前主流的計算機語音識別技術大都基於統計模式識別的基本理論。
  19. In the theory introduction part, after simply introduces the basis knowledge of voice signal, a systemic and concise brief of the preceding disposal, endpoint detection, parameter pick - up and matching - method of speech recognition according the basic framework of speech recognition system are given

    在語音識別理論介紹部分，文中在簡單介紹了語音信號的基本知識之後，根據語音識別系統的基本結構，依次對語音識別技術的前端處理、起止點檢測、特徵提取和識別判決方法部分一一進行了系統而簡明的闡述。
  20. Svm - based combination of confidence measures in speech recognition

    的置信度綜合方法在語音識別中的應用
分享友人
分享到 Line

分享到臉書