Helium speech enhancement based on linear predictive coding 基于線性預測模型的氦語音增強算法研究
Linear predictive code lpc 線性預測編碼
Linear predictive code lp 線性預測編碼
A study on noisy speech recognition linear predictive coding prediction error 一種噪聲環(huán)境下的語音識別方法線性預測誤差法的研究
One - sided autocorrelation sequence ; linear predictive coding ; cepstrum ; dynamic time warping 單邊自相關(guān)序列線性預測編碼倒譜動態(tài)時間規(guī)正
Linear predictive coding ; lpc prediction error ; cepstrum ; dynamic time warping 線性預測編碼lpc lpcpe線性預測誤差倒譜動態(tài)時軸彎曲或動態(tài)時間規(guī)正dtw
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(tǒng)的“改進譜相減法語音增強”參數(shù)設定單一、環(huán)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(jié)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仿真試驗,給出了能夠準確確定數(shù)碼語音端點的初始和改進參數(shù)表;提出了利用基于線性預測編碼倒譜參數(shù)和差分線性預測編碼倒譜參數(shù)相結(jié)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(shù)進行第二級識別的兩級漢語數(shù)碼語音識別系統(tǒng),在保證系統(tǒng)實時性的同時,實現(xiàn)連接漢語數(shù)碼語音識別系統(tǒng)識別率的提高;在硬件實現(xiàn)上,詳細闡述了基于tms320vc5402的連接漢語數(shù)碼語音識別系統(tǒng)各部分硬件設計;在軟件開發(fā)上,給出了連接漢語數(shù)碼語音識別的軟件設計各部分的流程圖,并對各部分進行了matlab仿真,并給出了仿真結(jié)果。
百科解釋
Linear predictive coding (LPC) is a tool used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model. It is one of the most powerful speech analysis techniques, and one of the most useful methods for encoding good quality speech at a low bit rate and provides extremely accurate estimates of speech parameters.