speech recognition system 中文意思是什麼

speech recognition system 解釋
語音識別系統
  • 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。
  • system : n 1 體系，系統；分類法；組織；設備，裝置。2 方式；方法；作業方法。3 制度；主義。4 次序，規律。5 ...
  1. 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。
  2. 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。
  3. 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。
  4. Then this spectral subtraction method is applied to noise speech recognition system as the front - end processing. noise speech signal are processed to improve its snr before recognition. so the recognition rate can be improved in noise environments

    並將改進譜減演算法作為噪聲下語音識別系統的前端處理過程，即通過對含噪的語音進行語音增強以提高信號的信噪比，從而提高語音識別系統的抗噪聲性能。
  5. Discrete - speech recognition system

    不連續語言識別系統
  6. Continuous - speech recognition system

    連續語言識別系統
  7. 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。
  8. Each unit of a speech recognition system is studied in this paper, which includes the preprocessing, the training of reference patterns, the connected digit speech recognition algorithm and the postprocessing of confusing pairs. the research of endpoint detection includes the endpoint detection not only in the quiet environment but also in the low signal - to - noise ( snr ) situation. as far as the training of the reference patterns is concerned, the modified k - means algorithm is adopted. the most important part of this paper is the research of connected speech recognition algorithm. two kinds of algorithm are put forward, which are based on the existing fruit of mutual - information match theory

    其次漢語連續數字發音連續程度較高，這主要由於漢語數字發音中零聲母語音出現的較多。另外漢語連續數字串中各個數字的協同發音現象較嚴重也給漢語連續數字語音識別帶來了困難。本文以互信息理論為基礎，從語音模式間的交互信息量的角度，研究了一個完整的語音識別系統的各個組成部分，其中包括預處理、參考模式的訓練、連續識別演算法以及后續處理部分。
  9. 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
  10. 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
  11. Application of hmm in automatic speech recognition system

    在語音識別系統中的應用
  12. A speech recognition system and structure based on the dsp

    的語音識別系統及其結構
  13. Implementation of fast speech recognition system for small vocabulary

    面向商務信息抽取的產品命名實體識別研究
  14. Forth, a speaker - dependent and isolated - word speech recognition system is designed

    設計並實現了一個特定人孤立詞識別系統。
  15. An improved clustering method is provided which is based on radial basis function neural network, and applied rbf neural network into the speech sounds recognition domain, and a speaker - independent isolated words speech recognition system is established

    摘要提出一種基於徑向基函數神經網路的改進聚類方法，並將此改進的神經網路應用於語音識別領域，建立一個非特定人的孤立詞語音識別系統。
  16. Mandarin digit speech recognition system based on dsp technology

    技術的漢語數碼語音識別系統
  17. Speech recognition system based on schmm ann in noisy environment

    噪聲背景下的語音識別系統設計
  18. Performance comparision of speech recognition system based on vq and hmm

    的語音識別系統的性能比較
  19. A fast speech recognition system for small vocabulary is presented

    摘要介紹了一種小詞匯量的語音識別方法。
  20. Tone information isn ? basically used in current chinese speech recognition system, study on tone recognition is limited to tone recognition of isolated - word and multi - syllabic word, and research on tone patterns and tone recognition for chinese continuous speech is little

    現有的漢語語音識別系統基本上沒有利用聲調信息，聲調識別研究也多限於孤立字和多字詞的聲調識別，連續語音的聲調模式和聲調識別研究很少，本文在這方面開展了一點工作。
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