語音識別技術 的英文怎麼說

中文拼音 [yǔyīnzhìbiéjìshù]
語音識別技術 英文
voice recognition
  • 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）
  • 技 : 名詞（技能; 本領） skill; ability; trick; technique
  • 術 : 術名詞1. （技藝; 技術; 學術） art; skill; technique 2. （方法; 策略） method; tactics 3. （姓氏） a surname
  • 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. 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。
  2. 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。
  3. The thesis makes researches on technologies of call centers, voice disposing technologies and the synthetic application of these technologies. with setting up a call center which is called epcc ( electric power call center ) in a electric power company, the thesis describes pivotal technologies in call centers, such as voice disposing technologies >, crm ( customer relationship management ) and web technologies, the thesis represents standard schemes and standard frames of call centers, and the thesis describes pivotal technologies in voice disposing procedures, such as speech synthesize and speech recognize, and the thesis describes voice disposing technology " s applications in call centers that are called ivr ( interactive voice response ) systems, then the thesis discusses the acd ( auto call distribution ) program in epcc

    本論文通過建立呼叫中心的一個實例（電力呼叫中心） ，對呼叫中心、語音技術及其綜合應用進行了較為深入的研究。通過呼叫中心的電力應用，較詳細地論述了呼叫中心的關鍵技術：語音技術、客戶關系管理crm和web技術等；較深入地闡述了呼叫中心的典型方案和典型結構；較詳細地論述了語音信號處理技術的關鍵技術：語音合成技術及語音識別技術：深入討論了語音技術在呼叫中心的具體應用- - - ivr系統及其關鍵技術；較詳細地討論了電力呼叫中心中所採用的acd演算法，並基於acd演算法完善了呼叫中心的表現形式。
  4. 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。
  5. 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。
  6. 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。
  7. Center essential technology including speech recognition technology and pronunciation technology and language synthesis technology

    中的關鍵技術包括語音識別技術和語音技術和語言合成技術。
  8. Right now, in the research field of language studying, much more attention has been paid to develop valid voice recognition ( abbr. vr ) strategy so as to made people study language easier. but it is a pity that language education software has rarely valid voice recognition function

    因此，探索有效的語言學習方法，開發具有語音識別判別能力的教學軟體，把語音識別技術與多媒體技術相結合，已成為這一類語言教學的熱點。
  9. Speech recognition and natural language process technology can receive and sort audio content. this is the first step toward retrieval entire video and sort video content. in this paper, we deal with the problem of segmenting news video data into semantically coherent scene using audio and video data, besides, classifying of news video content

    利用語音識別技術和自然語言處理技術對音頻流中的語音段進行處理，就可以解決音頻內容的提取和分類問題，這樣就更有利於檢索的進行，進而可以對所對應的視頻段進行內容分類，這些都為我們的研究創造了條件。
  10. Now, the main stream of the technology of speech recognition is based on statistical pattern recognition

    目前主流的語音識別技術是基於統計模式識別的基本理論。
  11. An emiew robot used its speech recognition and synthesized voice technology to temporarily fill the job of hotel clerk at the grand tokyo bay hotel in march of 2006

    2006年3月，一個emiew機器人在大東京灣旅館臨時擔負起旅館職員的工作。該機器人利用了它的語音識別技術和合成聲音技術。
  12. The speech - recognition technology is one of the most important directions of computer technology. since 90 ' s the speech - recognition systems has been developed as an integrated theory, on the other hand the speech - recognition systems run on pc have been developed so well and have gotten some success. although the research of speech - recognition has been arrived the state of commodity, the basic theory is quite perfect and lots of products come forth in succession, but in many special field, because of the circumstance and the industry, we often need develop the system specially

    語音識別技術是計算機技術重要的發展方向，語音識別已經形成了完整的理論體系，基於pc平臺的語音識別系統的研究也在技術上獲得了一些成功，盡管目前語音識別的研究已經進入了商品化階段，基礎性理論相當完善，各種各樣的產品也相繼涌現，但在許多特定領域，由於其環境和行業的特殊性，往往需要專門進行開發，以適應實際需要。
  13. In the information era, the task of solving the problem of machine understanding the human speech is gradually becoming a reality with the development of technology in speck recognition

    在信息時代里，隨著語音識別技術的不斷發展，讓機器具有「聽懂」人類語言能力的研究正在一步一步成為現實。
  14. The voice - recognition technology will not be on conventional desktop computers only ; it will be available in any sort of electronic information processing device

    語音識別技術不僅將運用於一般的臺式電腦，任何電子信息處理裝置都用得上。
  15. 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。
  16. The noise robustness is one of the crucial factors that have deep influence upon the practicability of the speech recognition system, and then it has become the focus in the research field of automatic speech recognition

    語音識別系統的噪聲魯棒性是決定語音識別技術從實驗室走向實際應用的關鍵環節，是目前語音識別領域的研究熱點與難點。
  17. With the rapid growth of communication in wireless / computer networks, the research of robust speech recognition in impulsive noise environments has been a new hot topic

    隨著無線通信和計算機通信的迅速發展，對沖激噪聲下穩健語音識別技術的研究成為一個新的熱點。
  18. From other point of view, the usage of the on - board equipment promotes the traffic flow assignment once more, which achieves the final aim of the traffic flow guidance system. custom in - vehicle navigation system is controlled by hand, drivers must distract attention from driving when they use system, so it is inconvenience and it is a hidden danger. speech control in - vehicle navigation system is control system by speech, drivers use microphone to achieve function operation, it is safer and more convenience

    論文通過對國內外典型車載導航系統的功能分析，完成了車輛導航系統的語音控制功能設計，在此基礎上，提出了實現車載導航系統語音控制功能三大關鍵技術:基於microsoftspeechsdk的語音識別技術，基於xmlschema的語音-功能交互技術以及基於漢字拼音的語音-地圖交互技術。
  19. So, in this paper, the theory and algorithm of vr are being developed. in this paper, several key problems in vr process are being discussed both in theory and application, which include pre - processing, frame decomposing of raw voice signal, characteristic selection and calculation, dynamic mapping of characteristics. linear prediction model, model coefficients ( lpc ), as well as cepstrum coefficients are well analyzed both in analysis and calculation aspects

    作者在本論文中，對國內外語音識別技術發展狀況做了較全面的總結分析，對語音信號產生模型、線性預測編碼方法、求解lpc正則方程的德賓遞推演算法、語音信號同態處理方法、 lpc倒譜特徵計算、動態特徵匹配等語音識別的關鍵環節的技術問題進行了深入的理論分析和模擬研究，用matlab語言編寫了語音信號濾波、分幀、特徵計算和匹配軟體，並給出了模擬計算結果。
  20. This dissertation discusses important issues pertinent to the ums ( unified messaging system ) based on the experience gained in the project of zhx - ums ( zhonghongxun unified messaging system ). the work presented in this dissertation reflects the author ' s involvement in the development of the zhx - ums prototype system, and can be classified into two groups : system top - design and software development. an emphasis has been given to the software development, which directly related two techniques : tts ( text - to - speech ) and asr ( auto speech recognition )

    本文以作者參與「中鴻訊統一消息服務系統（ zhx - ums ） 」設計與開發工作為背景，在討論有關ums的體系結構、關鍵技術和實現方法等方面問題的基礎上，重點討論了文本-語音轉換技術（ tts ）和自動語音識別技術（ asr ）的現狀及其在ums系統中的應用與開發。
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